sagemaker

package
v0.14.0 Latest Latest
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 Go to latest Published: Oct 8, 2019 License: Apache-2.0 Imports: 8 Imported by: 53

Documentation

Overview

Package sagemaker provides the client and types for making API requests to SageMaker.

Provides APIs for creating and managing Amazon SageMaker resources.

See https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24 for more information on this service.

See sagemaker package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/sagemaker/

Using the Client

To use SageMaker with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently.

See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/

See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config

See the SageMaker client for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/sagemaker/#New

Index

Constants

View Source 
const (
	ServiceName = "SageMaker"     // Service's name
	ServiceID   = "SageMaker"     // Service's identifier
	EndpointsID = "api.sagemaker" // Service's Endpoint identifier
)
View Source 
const (

	// ErrCodeResourceInUse for service response error code
	// "ResourceInUse".
	//
	// Resource being accessed is in use.
	ErrCodeResourceInUse = "ResourceInUse"

	// ErrCodeResourceLimitExceeded for service response error code
	// "ResourceLimitExceeded".
	//
	// You have exceeded an Amazon SageMaker resource limit. For example, you might
	// have too many training jobs created.
	ErrCodeResourceLimitExceeded = "ResourceLimitExceeded"

	// ErrCodeResourceNotFound for service response error code
	// "ResourceNotFound".
	//
	// Resource being access is not found.
	ErrCodeResourceNotFound = "ResourceNotFound"
)

Variables

This section is empty.

Functions

This section is empty.

Types

type AddTagsInput 

type AddTagsInput struct {

	// The Amazon Resource Name (ARN) of the resource that you want to tag.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`

	// An array of Tag objects. Each tag is a key-value pair. Only the key parameter
	// is required. If you don't specify a value, Amazon SageMaker sets the value
	// to an empty string.
	//
	// Tags is a required field
	Tags []Tag `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (AddTagsInput) String 

func (s AddTagsInput) String() string

String returns the string representation

func (*AddTagsInput) Validate 

func (s *AddTagsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AddTagsOutput 

type AddTagsOutput struct {

	// A list of tags associated with the Amazon SageMaker resource.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (AddTagsOutput) String 

func (s AddTagsOutput) String() string

String returns the string representation

type AddTagsRequest 

type AddTagsRequest struct {
	*aws.Request
	Input *AddTagsInput
	Copy  func(*AddTagsInput) AddTagsRequest
}

AddTagsRequest is the request type for the AddTags API operation.

func (AddTagsRequest) Send 

func (r AddTagsRequest) Send(ctx context.Context) (*AddTagsResponse, error)

Send marshals and sends the AddTags API request.

type AddTagsResponse added in v0.9.0 

type AddTagsResponse struct {
	*AddTagsOutput
	// contains filtered or unexported fields
}

AddTagsResponse is the response type for the AddTags API operation.

func (*AddTagsResponse) SDKResponseMetdata added in v0.9.0 

func (r *AddTagsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the AddTags request.

type AlgorithmSortBy added in v0.6.0 

type AlgorithmSortBy string
const (
	AlgorithmSortByName         AlgorithmSortBy = "Name"
	AlgorithmSortByCreationTime AlgorithmSortBy = "CreationTime"
)

Enum values for AlgorithmSortBy

func (AlgorithmSortBy) MarshalValue added in v0.6.0 

func (enum AlgorithmSortBy) MarshalValue() (string, error)

func (AlgorithmSortBy) MarshalValueBuf added in v0.6.0 

func (enum AlgorithmSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type AlgorithmSpecification 

type AlgorithmSpecification struct {

	// The name of the algorithm resource to use for the training job. This must
	// be an algorithm resource that you created or subscribe to on AWS Marketplace.
	// If you specify a value for this parameter, you can't specify a value for
	// TrainingImage.
	AlgorithmName *string `min:"1" type:"string"`

	// A list of metric definition objects. Each object specifies the metric name
	// and regular expressions used to parse algorithm logs. Amazon SageMaker publishes
	// each metric to Amazon CloudWatch.
	MetricDefinitions []MetricDefinition `type:"list"`

	// The registry path of the Docker image that contains the training algorithm.
	// For information about docker registry paths for built-in algorithms, see
	// Algorithms Provided by Amazon SageMaker: Common Parameters (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html).
	// Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest]
	// image path formats. For more information, see Using Your Own Algorithms with
	// Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	TrainingImage *string `type:"string"`

	// The input mode that the algorithm supports. For the input modes that Amazon
	// SageMaker algorithms support, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	// If an algorithm supports the File input mode, Amazon SageMaker downloads
	// the training data from S3 to the provisioned ML storage Volume, and mounts
	// the directory to docker volume for training container. If an algorithm supports
	// the Pipe input mode, Amazon SageMaker streams data directly from S3 to the
	// container.
	//
	// In File mode, make sure you provision ML storage volume with sufficient capacity
	// to accommodate the data download from S3. In addition to the training data,
	// the ML storage volume also stores the output model. The algorithm container
	// use ML storage volume to also store intermediate information, if any.
	//
	// For distributed algorithms using File mode, training data is distributed
	// uniformly, and your training duration is predictable if the input data objects
	// size is approximately same. Amazon SageMaker does not split the files any
	// further for model training. If the object sizes are skewed, training won't
	// be optimal as the data distribution is also skewed where one host in a training
	// cluster is overloaded, thus becoming bottleneck in training.
	//
	// TrainingInputMode is a required field
	TrainingInputMode TrainingInputMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies the training algorithm to use in a CreateTrainingJob (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateTrainingJob.html) request.

For more information about algorithms provided by Amazon SageMaker, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html). For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).

func (AlgorithmSpecification) String 

func (s AlgorithmSpecification) String() string

String returns the string representation

func (*AlgorithmSpecification) Validate 

func (s *AlgorithmSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AlgorithmStatus added in v0.6.0 

type AlgorithmStatus string
const (
	AlgorithmStatusPending    AlgorithmStatus = "Pending"
	AlgorithmStatusInProgress AlgorithmStatus = "InProgress"
	AlgorithmStatusCompleted  AlgorithmStatus = "Completed"
	AlgorithmStatusFailed     AlgorithmStatus = "Failed"
	AlgorithmStatusDeleting   AlgorithmStatus = "Deleting"
)

Enum values for AlgorithmStatus

func (AlgorithmStatus) MarshalValue added in v0.6.0 

func (enum AlgorithmStatus) MarshalValue() (string, error)

func (AlgorithmStatus) MarshalValueBuf added in v0.6.0 

func (enum AlgorithmStatus) MarshalValueBuf(b []byte) ([]byte, error)

type AlgorithmStatusDetails added in v0.6.0 

type AlgorithmStatusDetails struct {

	// The status of the scan of the algorithm's Docker image container.
	ImageScanStatuses []AlgorithmStatusItem `type:"list"`

	// The status of algorithm validation.
	ValidationStatuses []AlgorithmStatusItem `type:"list"`
	// contains filtered or unexported fields
}

Specifies the validation and image scan statuses of the algorithm.

func (AlgorithmStatusDetails) String added in v0.6.0 

func (s AlgorithmStatusDetails) String() string

String returns the string representation

type AlgorithmStatusItem added in v0.6.0 

type AlgorithmStatusItem struct {

	// if the overall status is Failed, the reason for the failure.
	FailureReason *string `type:"string"`

	// The name of the algorithm for which the overall status is being reported.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The current status.
	//
	// Status is a required field
	Status DetailedAlgorithmStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Represents the overall status of an algorithm.

func (AlgorithmStatusItem) String added in v0.6.0 

func (s AlgorithmStatusItem) String() string

String returns the string representation

type AlgorithmSummary added in v0.6.0 

type AlgorithmSummary struct {

	// The Amazon Resource Name (ARN) of the algorithm.
	//
	// AlgorithmArn is a required field
	AlgorithmArn *string `min:"1" type:"string" required:"true"`

	// A brief description of the algorithm.
	AlgorithmDescription *string `type:"string"`

	// The name of the algorithm that is described by the summary.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// The overall status of the algorithm.
	//
	// AlgorithmStatus is a required field
	AlgorithmStatus AlgorithmStatus `type:"string" required:"true" enum:"true"`

	// A timestamp that shows when the algorithm was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about an algorithm.

func (AlgorithmSummary) String added in v0.6.0 

func (s AlgorithmSummary) String() string

String returns the string representation

type AlgorithmValidationProfile added in v0.6.0 

type AlgorithmValidationProfile struct {

	// The name of the profile for the algorithm. The name must have 1 to 63 characters.
	// Valid characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// ProfileName is a required field
	ProfileName *string `min:"1" type:"string" required:"true"`

	// The TrainingJobDefinition object that describes the training job that Amazon
	// SageMaker runs to validate your algorithm.
	//
	// TrainingJobDefinition is a required field
	TrainingJobDefinition *TrainingJobDefinition `type:"structure" required:"true"`

	// The TransformJobDefinition object that describes the transform job that Amazon
	// SageMaker runs to validate your algorithm.
	TransformJobDefinition *TransformJobDefinition `type:"structure"`
	// contains filtered or unexported fields
}

Defines a training job and a batch transform job that Amazon SageMaker runs to validate your algorithm.

The data provided in the validation profile is made available to your buyers on AWS Marketplace.

func (AlgorithmValidationProfile) String added in v0.6.0 

func (s AlgorithmValidationProfile) String() string

String returns the string representation

func (*AlgorithmValidationProfile) Validate added in v0.6.0 

func (s *AlgorithmValidationProfile) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AlgorithmValidationSpecification added in v0.6.0 

type AlgorithmValidationSpecification struct {

	// An array of AlgorithmValidationProfile objects, each of which specifies a
	// training job and batch transform job that Amazon SageMaker runs to validate
	// your algorithm.
	//
	// ValidationProfiles is a required field
	ValidationProfiles []AlgorithmValidationProfile `min:"1" type:"list" required:"true"`

	// The IAM roles that Amazon SageMaker uses to run the training jobs.
	//
	// ValidationRole is a required field
	ValidationRole *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.

func (AlgorithmValidationSpecification) String added in v0.6.0 

func (s AlgorithmValidationSpecification) String() string

String returns the string representation

func (*AlgorithmValidationSpecification) Validate added in v0.6.0 

func (s *AlgorithmValidationSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AnnotationConsolidationConfig added in v0.6.0 

type AnnotationConsolidationConfig struct {

	// The Amazon Resource Name (ARN) of a Lambda function implements the logic
	// for annotation consolidation.
	//
	// For the built-in bounding box, image classification, semantic segmentation,
	// and text classification task types, Amazon SageMaker Ground Truth provides
	// the following Lambda functions:
	//
	//    * Bounding box - Finds the most similar boxes from different workers based
	//    on the Jaccard index of the boxes. arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
	//
	//    * Image classification - Uses a variant of the Expectation Maximization
	//    approach to estimate the true class of an image based on annotations from
	//    individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
	//
	//    * Semantic segmentation - Treats each pixel in an image as a multi-class
	//    classification and treats pixel annotations from workers as "votes" for
	//    the correct label. arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
	//
	//    * Text classification - Uses a variant of the Expectation Maximization
	//    approach to estimate the true class of text based on annotations from
	//    individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
	//
	//    * Named entity eecognition - Groups similar selections and calculates
	//    aggregate boundaries, resolving to most-assigned label. arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
	//    arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
	//
	// For more information, see Annotation Consolidation (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html).
	//
	// AnnotationConsolidationLambdaArn is a required field
	AnnotationConsolidationLambdaArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Configures how labels are consolidated across human workers.

func (AnnotationConsolidationConfig) String added in v0.6.0 

func (s AnnotationConsolidationConfig) String() string

String returns the string representation

func (*AnnotationConsolidationConfig) Validate added in v0.6.0 

func (s *AnnotationConsolidationConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type AssemblyType added in v0.5.0 

type AssemblyType string
const (
	AssemblyTypeNone AssemblyType = "None"
	AssemblyTypeLine AssemblyType = "Line"
)

Enum values for AssemblyType

func (AssemblyType) MarshalValue added in v0.5.0 

func (enum AssemblyType) MarshalValue() (string, error)

func (AssemblyType) MarshalValueBuf added in v0.5.0 

func (enum AssemblyType) MarshalValueBuf(b []byte) ([]byte, error)

type BatchStrategy added in v0.5.0 

type BatchStrategy string
const (
	BatchStrategyMultiRecord  BatchStrategy = "MultiRecord"
	BatchStrategySingleRecord BatchStrategy = "SingleRecord"
)

Enum values for BatchStrategy

func (BatchStrategy) MarshalValue added in v0.5.0 

func (enum BatchStrategy) MarshalValue() (string, error)

func (BatchStrategy) MarshalValueBuf added in v0.5.0 

func (enum BatchStrategy) MarshalValueBuf(b []byte) ([]byte, error)

type BooleanOperator added in v0.6.0 

type BooleanOperator string
const (
	BooleanOperatorAnd BooleanOperator = "And"
	BooleanOperatorOr  BooleanOperator = "Or"
)

Enum values for BooleanOperator

func (BooleanOperator) MarshalValue added in v0.6.0 

func (enum BooleanOperator) MarshalValue() (string, error)

func (BooleanOperator) MarshalValueBuf added in v0.6.0 

func (enum BooleanOperator) MarshalValueBuf(b []byte) ([]byte, error)

type CategoricalParameterRange added in v0.5.0 

type CategoricalParameterRange struct {

	// The name of the categorical hyperparameter to tune.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// A list of the categories for the hyperparameter.
	//
	// Values is a required field
	Values []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

A list of categorical hyperparameters to tune.

func (CategoricalParameterRange) String added in v0.5.0 

func (s CategoricalParameterRange) String() string

String returns the string representation

func (*CategoricalParameterRange) Validate added in v0.5.0 

func (s *CategoricalParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CategoricalParameterRangeSpecification added in v0.6.0 

type CategoricalParameterRangeSpecification struct {

	// The allowed categories for the hyperparameter.
	//
	// Values is a required field
	Values []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Defines the possible values for a categorical hyperparameter.

func (CategoricalParameterRangeSpecification) String added in v0.6.0 

func (s CategoricalParameterRangeSpecification) String() string

String returns the string representation

func (*CategoricalParameterRangeSpecification) Validate added in v0.6.0 

func (s *CategoricalParameterRangeSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Channel 

type Channel struct {

	// The name of the channel.
	//
	// ChannelName is a required field
	ChannelName *string `min:"1" type:"string" required:"true"`

	// If training data is compressed, the compression type. The default value is
	// None. CompressionType is used only in Pipe input mode. In File mode, leave
	// this field unset or set it to None.
	CompressionType CompressionType `type:"string" enum:"true"`

	// The MIME type of the data.
	ContentType *string `type:"string"`

	// The location of the channel data.
	//
	// DataSource is a required field
	DataSource *DataSource `type:"structure" required:"true"`

	// (Optional) The input mode to use for the data channel in a training job.
	// If you don't set a value for InputMode, Amazon SageMaker uses the value set
	// for TrainingInputMode. Use this parameter to override the TrainingInputMode
	// setting in a AlgorithmSpecification request when you have a channel that
	// needs a different input mode from the training job's general setting. To
	// download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned
	// ML storage volume, and mount the directory to a Docker volume, use File input
	// mode. To stream data directly from Amazon S3 to the container, choose Pipe
	// input mode.
	//
	// To use a model for incremental training, choose File input model.
	InputMode TrainingInputMode `type:"string" enum:"true"`

	// Specify RecordIO as the value when input data is in raw format but the training
	// algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps
	// each individual S3 object in a RecordIO record. If the input data is already
	// in RecordIO format, you don't need to set this attribute. For more information,
	// see Create a Dataset Using RecordIO (https://mxnet.incubator.apache.org/architecture/note_data_loading.html#data-format).
	//
	// In File mode, leave this field unset or set it to None.
	RecordWrapperType RecordWrapper `type:"string" enum:"true"`

	// A configuration for a shuffle option for input data in a channel. If you
	// use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix
	// matches. If you use ManifestFile, the order of the S3 object references in
	// the ManifestFile is shuffled. If you use AugmentedManifestFile, the order
	// of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling
	// order is determined using the Seed value.
	//
	// For Pipe input mode, shuffling is done at the start of every epoch. With
	// large datasets this ensures that the order of the training data is different
	// for each epoch, it helps reduce bias and possible overfitting. In a multi-node
	// training job when ShuffleConfig is combined with S3DataDistributionType of
	// ShardedByS3Key, the data is shuffled across nodes so that the content sent
	// to a particular node on the first epoch might be sent to a different node
	// on the second epoch.
	ShuffleConfig *ShuffleConfig `type:"structure"`
	// contains filtered or unexported fields
}

A channel is a named input source that training algorithms can consume.

func (Channel) String 

func (s Channel) String() string

String returns the string representation

func (*Channel) Validate 

func (s *Channel) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ChannelSpecification added in v0.6.0 

type ChannelSpecification struct {

	// A brief description of the channel.
	Description *string `type:"string"`

	// Indicates whether the channel is required by the algorithm.
	IsRequired *bool `type:"boolean"`

	// The name of the channel.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The allowed compression types, if data compression is used.
	SupportedCompressionTypes []CompressionType `type:"list"`

	// The supported MIME types for the data.
	//
	// SupportedContentTypes is a required field
	SupportedContentTypes []string `type:"list" required:"true"`

	// The allowed input mode, either FILE or PIPE.
	//
	// In FILE mode, Amazon SageMaker copies the data from the input source onto
	// the local Amazon Elastic Block Store (Amazon EBS) volumes before starting
	// your training algorithm. This is the most commonly used input mode.
	//
	// In PIPE mode, Amazon SageMaker streams input data from the source directly
	// to your algorithm without using the EBS volume.
	//
	// SupportedInputModes is a required field
	SupportedInputModes []TrainingInputMode `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Defines a named input source, called a channel, to be used by an algorithm.

func (ChannelSpecification) String added in v0.6.0 

func (s ChannelSpecification) String() string

String returns the string representation

func (*ChannelSpecification) Validate added in v0.6.0 

func (s *ChannelSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CheckpointConfig added in v0.11.0 

type CheckpointConfig struct {

	// (Optional) The local directory where checkpoints are written. The default
	// directory is /opt/ml/checkpoints/.
	LocalPath *string `type:"string"`

	// Identifies the S3 path where you want Amazon SageMaker to store checkpoints.
	// For example, s3://bucket-name/key-name-prefix.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains information about the output location for managed spot training checkpoint data.

func (CheckpointConfig) String added in v0.11.0 

func (s CheckpointConfig) String() string

String returns the string representation

func (*CheckpointConfig) Validate added in v0.11.0 

func (s *CheckpointConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Client added in v0.9.0 

type Client struct {
	*aws.Client
}

Client provides the API operation methods for making requests to SageMaker. See this package's package overview docs for details on the service.

The client's methods are safe to use concurrently. It is not safe to modify mutate any of the struct's properties though.

func New 

func New(config aws.Config) *Client

New creates a new instance of the client from the provided Config.

Example: 

// Create a client from just a config.
svc := sagemaker.New(myConfig)

func (*Client) AddTagsRequest added in v0.9.0 

func (c *Client) AddTagsRequest(input *AddTagsInput) AddTagsRequest

AddTagsRequest returns a request value for making API operation for Amazon SageMaker Service.

Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.

Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies (https://aws.amazon.com/answers/account-management/aws-tagging-strategies/).

Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob 

// Example sending a request using AddTagsRequest.
req := client.AddTagsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AddTags

func (*Client) CreateAlgorithmRequest added in v0.9.0 

func (c *Client) CreateAlgorithmRequest(input *CreateAlgorithmInput) CreateAlgorithmRequest

CreateAlgorithmRequest returns a request value for making API operation for Amazon SageMaker Service.

Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace. 

// Example sending a request using CreateAlgorithmRequest.
req := client.CreateAlgorithmRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateAlgorithm

func (*Client) CreateCodeRepositoryRequest added in v0.9.0 

func (c *Client) CreateCodeRepositoryRequest(input *CreateCodeRepositoryInput) CreateCodeRepositoryRequest

CreateCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.

The repository can be hosted either in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or in any other Git repository. 

// Example sending a request using CreateCodeRepositoryRequest.
req := client.CreateCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateCodeRepository

func (*Client) CreateCompilationJobRequest added in v0.9.0 

func (c *Client) CreateCompilationJobRequest(input *CreateCompilationJobInput) CreateCompilationJobRequest

CreateCompilationJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.

In the request body, you provide the following:

  • A name for the compilation job

  • Information about the input model artifacts

  • The output location for the compiled model and the device (target) that the model runs on

  • The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job

You can also provide a Tag to track the model compilation job's resource use and costs. The response body contains the CompilationJobArn for the compiled job.

To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs. 

// Example sending a request using CreateCompilationJobRequest.
req := client.CreateCompilationJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateCompilationJob

func (*Client) CreateEndpointConfigRequest added in v0.9.0 

func (c *Client) CreateEndpointConfigRequest(input *CreateEndpointConfigInput) CreateEndpointConfigRequest

CreateEndpointConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html) API.

Use this API only if you want to use Amazon SageMaker hosting services to deploy models into production.

In the request, you define one or more ProductionVariants, each of which identifies a model. Each ProductionVariant parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.

If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B. 

// Example sending a request using CreateEndpointConfigRequest.
req := client.CreateEndpointConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpointConfig

func (*Client) CreateEndpointRequest added in v0.9.0 

func (c *Client) CreateEndpointRequest(input *CreateEndpointInput) CreateEndpointRequest

CreateEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html) API.

Use this API only for hosting models using Amazon SageMaker hosting services.

You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

The endpoint name must be unique within an AWS Region in your AWS account.

When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.

When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint (https://docs.aws.amazon.com/sagemaker/latest/dg/API_DescribeEndpoint.html) API.

For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ex1.html).

If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region (IAM/latest/UserGuide/id_credentials_temp_enable-regions.html) in the AWS Identity and Access Management User Guide. 

// Example sending a request using CreateEndpointRequest.
req := client.CreateEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpoint

func (*Client) CreateHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) CreateHyperParameterTuningJobRequest(input *CreateHyperParameterTuningJobInput) CreateHyperParameterTuningJobRequest

CreateHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose. 

// Example sending a request using CreateHyperParameterTuningJobRequest.
req := client.CreateHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateHyperParameterTuningJob

func (*Client) CreateLabelingJobRequest added in v0.9.0 

func (c *Client) CreateLabelingJobRequest(input *CreateLabelingJobInput) CreateLabelingJobRequest

CreateLabelingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.

You can select your workforce from one of three providers:

  • A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.

  • One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas.

  • The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.

You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-automated-labeling.html).

The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-data.html).

The output can be used as the manifest file for another labeling job or as training data for your machine learning models. 

// Example sending a request using CreateLabelingJobRequest.
req := client.CreateLabelingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateLabelingJob

func (*Client) CreateModelPackageRequest added in v0.9.0 

func (c *Client) CreateModelPackageRequest(input *CreateModelPackageInput) CreateModelPackageRequest

CreateModelPackageRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.

To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for SourceAlgorithmSpecification. 

// Example sending a request using CreateModelPackageRequest.
req := client.CreateModelPackageRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModelPackage

func (*Client) CreateModelRequest added in v0.9.0 

func (c *Client) CreateModelRequest(input *CreateModelInput) CreateModelRequest

CreateModelRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the docker image containing inference code, artifacts (from prior training), and custom environment map that the inference code uses when you deploy the model for predictions.

Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.

To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.

To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the CreateModel request, you must define a container with the PrimaryContainer parameter.

In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role. 

// Example sending a request using CreateModelRequest.
req := client.CreateModelRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModel

func (*Client) CreateNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) CreateNotebookInstanceLifecycleConfigRequest(input *CreateNotebookInstanceLifecycleConfigInput) CreateNotebookInstanceLifecycleConfigRequest

CreateNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). 

// Example sending a request using CreateNotebookInstanceLifecycleConfigRequest.
req := client.CreateNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateNotebookInstanceLifecycleConfig

func (*Client) CreateNotebookInstanceRequest added in v0.9.0 

func (c *Client) CreateNotebookInstanceRequest(input *CreateNotebookInstanceInput) CreateNotebookInstanceRequest

CreateNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.

Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.

After receiving the request, Amazon SageMaker does the following:

Creates a network interface in the Amazon SageMaker VPC.

(Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.

Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.

After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.

For more information, see How It Works (https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html). 

// Example sending a request using CreateNotebookInstanceRequest.
req := client.CreateNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateNotebookInstance

func (*Client) CreatePresignedNotebookInstanceUrlRequest added in v0.9.0 

func (c *Client) CreatePresignedNotebookInstanceUrlRequest(input *CreatePresignedNotebookInstanceUrlInput) CreatePresignedNotebookInstanceUrlRequest

CreatePresignedNotebookInstanceUrlRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.

IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.For example, you can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-ip-filter.html).

The URL that you get from a call to is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page. 

// Example sending a request using CreatePresignedNotebookInstanceUrlRequest.
req := client.CreatePresignedNotebookInstanceUrlRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreatePresignedNotebookInstanceUrl

func (*Client) CreateTrainingJobRequest added in v0.9.0 

func (c *Client) CreateTrainingJobRequest(input *CreateTrainingJobInput) CreateTrainingJobRequest

CreateTrainingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences.

In the request body, you provide the following:

  • AlgorithmSpecification - Identifies the training algorithm to use.

  • HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).

  • InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.

  • OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.

  • ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.

  • EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training (https://docs.aws.amazon.com/sagemaker/latest/dg/model-managed-spot-training.html).

  • RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.

  • StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to to wait for a managed spot training job to complete.

For more information about Amazon SageMaker, see How It Works (https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html). 

// Example sending a request using CreateTrainingJobRequest.
req := client.CreateTrainingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTrainingJob

func (*Client) CreateTransformJobRequest added in v0.9.0 

func (c *Client) CreateTransformJobRequest(input *CreateTransformJobInput) CreateTransformJobRequest

CreateTransformJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.

To perform batch transformations, you create a transform job and use the data that you have readily available.

In the request body, you provide the following:

  • TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an AWS account.

  • ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see CreateModel.

  • TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.

  • TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

  • TransformResources - Identifies the ML compute instances for the transform job.

For more information about how batch transformation works Amazon SageMaker, see How It Works (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform.html). 

// Example sending a request using CreateTransformJobRequest.
req := client.CreateTransformJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTransformJob

func (*Client) CreateWorkteamRequest added in v0.9.0 

func (c *Client) CreateWorkteamRequest(input *CreateWorkteamInput) CreateWorkteamRequest

CreateWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.

You cannot create more than 25 work teams in an account and region. 

// Example sending a request using CreateWorkteamRequest.
req := client.CreateWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateWorkteam

func (*Client) DeleteAlgorithmRequest added in v0.9.0 

func (c *Client) DeleteAlgorithmRequest(input *DeleteAlgorithmInput) DeleteAlgorithmRequest

DeleteAlgorithmRequest returns a request value for making API operation for Amazon SageMaker Service.

Removes the specified algorithm from your account. 

// Example sending a request using DeleteAlgorithmRequest.
req := client.DeleteAlgorithmRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteAlgorithm

func (*Client) DeleteCodeRepositoryRequest added in v0.9.0 

func (c *Client) DeleteCodeRepositoryRequest(input *DeleteCodeRepositoryInput) DeleteCodeRepositoryRequest

DeleteCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified Git repository from your account. 

// Example sending a request using DeleteCodeRepositoryRequest.
req := client.DeleteCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteCodeRepository

func (*Client) DeleteEndpointConfigRequest added in v0.9.0 

func (c *Client) DeleteEndpointConfigRequest(input *DeleteEndpointConfigInput) DeleteEndpointConfigRequest

DeleteEndpointConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration. 

// Example sending a request using DeleteEndpointConfigRequest.
req := client.DeleteEndpointConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointConfig

func (*Client) DeleteEndpointRequest added in v0.9.0 

func (c *Client) DeleteEndpointRequest(input *DeleteEndpointInput) DeleteEndpointRequest

DeleteEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created.

Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant (http://docs.aws.amazon.com/kms/latest/APIReference/API_RevokeGrant.html) API call. 

// Example sending a request using DeleteEndpointRequest.
req := client.DeleteEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpoint

func (*Client) DeleteModelPackageRequest added in v0.9.0 

func (c *Client) DeleteModelPackageRequest(input *DeleteModelPackageInput) DeleteModelPackageRequest

DeleteModelPackageRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a model package.

A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker. 

// Example sending a request using DeleteModelPackageRequest.
req := client.DeleteModelPackageRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModelPackage

func (*Client) DeleteModelRequest added in v0.9.0 

func (c *Client) DeleteModelRequest(input *DeleteModelInput) DeleteModelRequest

DeleteModelRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateModel.html) API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model. 

// Example sending a request using DeleteModelRequest.
req := client.DeleteModelRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModel

func (*Client) DeleteNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) DeleteNotebookInstanceLifecycleConfigRequest(input *DeleteNotebookInstanceLifecycleConfigInput) DeleteNotebookInstanceLifecycleConfigRequest

DeleteNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes a notebook instance lifecycle configuration. 

// Example sending a request using DeleteNotebookInstanceLifecycleConfigRequest.
req := client.DeleteNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstanceLifecycleConfig

func (*Client) DeleteNotebookInstanceRequest added in v0.9.0 

func (c *Client) DeleteNotebookInstanceRequest(input *DeleteNotebookInstanceInput) DeleteNotebookInstanceRequest

DeleteNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API.

When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance. 

// Example sending a request using DeleteNotebookInstanceRequest.
req := client.DeleteNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstance

func (*Client) DeleteTagsRequest added in v0.9.0 

func (c *Client) DeleteTagsRequest(input *DeleteTagsInput) DeleteTagsRequest

DeleteTagsRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes the specified tags from an Amazon SageMaker resource.

To list a resource's tags, use the ListTags API.

When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API. 

// Example sending a request using DeleteTagsRequest.
req := client.DeleteTagsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTags

func (*Client) DeleteWorkteamRequest added in v0.9.0 

func (c *Client) DeleteWorkteamRequest(input *DeleteWorkteamInput) DeleteWorkteamRequest

DeleteWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Deletes an existing work team. This operation can't be undone. 

// Example sending a request using DeleteWorkteamRequest.
req := client.DeleteWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteWorkteam

func (*Client) DescribeAlgorithmRequest added in v0.9.0 

func (c *Client) DescribeAlgorithmRequest(input *DescribeAlgorithmInput) DescribeAlgorithmRequest

DescribeAlgorithmRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of the specified algorithm that is in your account. 

// Example sending a request using DescribeAlgorithmRequest.
req := client.DescribeAlgorithmRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeAlgorithm

func (*Client) DescribeCodeRepositoryRequest added in v0.9.0 

func (c *Client) DescribeCodeRepositoryRequest(input *DescribeCodeRepositoryInput) DescribeCodeRepositoryRequest

DescribeCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets details about the specified Git repository. 

// Example sending a request using DescribeCodeRepositoryRequest.
req := client.DescribeCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeCodeRepository

func (*Client) DescribeCompilationJobRequest added in v0.9.0 

func (c *Client) DescribeCompilationJobRequest(input *DescribeCompilationJobInput) DescribeCompilationJobRequest

DescribeCompilationJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a model compilation job.

To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs. 

// Example sending a request using DescribeCompilationJobRequest.
req := client.DescribeCompilationJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeCompilationJob

func (*Client) DescribeEndpointConfigRequest added in v0.9.0 

func (c *Client) DescribeEndpointConfigRequest(input *DescribeEndpointConfigInput) DescribeEndpointConfigRequest

DescribeEndpointConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns the description of an endpoint configuration created using the CreateEndpointConfig API. 

// Example sending a request using DescribeEndpointConfigRequest.
req := client.DescribeEndpointConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointConfig

func (*Client) DescribeEndpointRequest added in v0.9.0 

func (c *Client) DescribeEndpointRequest(input *DescribeEndpointInput) DescribeEndpointRequest

DescribeEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns the description of an endpoint. 

// Example sending a request using DescribeEndpointRequest.
req := client.DescribeEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpoint

func (*Client) DescribeHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) DescribeHyperParameterTuningJobRequest(input *DescribeHyperParameterTuningJobInput) DescribeHyperParameterTuningJobRequest

DescribeHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a description of a hyperparameter tuning job. 

// Example sending a request using DescribeHyperParameterTuningJobRequest.
req := client.DescribeHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeHyperParameterTuningJob

func (*Client) DescribeLabelingJobRequest added in v0.9.0 

func (c *Client) DescribeLabelingJobRequest(input *DescribeLabelingJobInput) DescribeLabelingJobRequest

DescribeLabelingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets information about a labeling job. 

// Example sending a request using DescribeLabelingJobRequest.
req := client.DescribeLabelingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeLabelingJob

func (*Client) DescribeModelPackageRequest added in v0.9.0 

func (c *Client) DescribeModelPackageRequest(input *DescribeModelPackageInput) DescribeModelPackageRequest

DescribeModelPackageRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.

To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace. 

// Example sending a request using DescribeModelPackageRequest.
req := client.DescribeModelPackageRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModelPackage

func (*Client) DescribeModelRequest added in v0.9.0 

func (c *Client) DescribeModelRequest(input *DescribeModelInput) DescribeModelRequest

DescribeModelRequest returns a request value for making API operation for Amazon SageMaker Service.

Describes a model that you created using the CreateModel API. 

// Example sending a request using DescribeModelRequest.
req := client.DescribeModelRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModel

func (*Client) DescribeNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) DescribeNotebookInstanceLifecycleConfigRequest(input *DescribeNotebookInstanceLifecycleConfigInput) DescribeNotebookInstanceLifecycleConfigRequest

DescribeNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a description of a notebook instance lifecycle configuration.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). 

// Example sending a request using DescribeNotebookInstanceLifecycleConfigRequest.
req := client.DescribeNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstanceLifecycleConfig

func (*Client) DescribeNotebookInstanceRequest added in v0.9.0 

func (c *Client) DescribeNotebookInstanceRequest(input *DescribeNotebookInstanceInput) DescribeNotebookInstanceRequest

DescribeNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a notebook instance. 

// Example sending a request using DescribeNotebookInstanceRequest.
req := client.DescribeNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstance

func (*Client) DescribeSubscribedWorkteamRequest added in v0.9.0 

func (c *Client) DescribeSubscribedWorkteamRequest(input *DescribeSubscribedWorkteamInput) DescribeSubscribedWorkteamRequest

DescribeSubscribedWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace. 

// Example sending a request using DescribeSubscribedWorkteamRequest.
req := client.DescribeSubscribedWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeSubscribedWorkteam

func (*Client) DescribeTrainingJobRequest added in v0.9.0 

func (c *Client) DescribeTrainingJobRequest(input *DescribeTrainingJobInput) DescribeTrainingJobRequest

DescribeTrainingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a training job. 

// Example sending a request using DescribeTrainingJobRequest.
req := client.DescribeTrainingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTrainingJob

func (*Client) DescribeTransformJobRequest added in v0.9.0 

func (c *Client) DescribeTransformJobRequest(input *DescribeTransformJobInput) DescribeTransformJobRequest

DescribeTransformJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns information about a transform job. 

// Example sending a request using DescribeTransformJobRequest.
req := client.DescribeTransformJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTransformJob

func (*Client) DescribeWorkteamRequest added in v0.9.0 

func (c *Client) DescribeWorkteamRequest(input *DescribeWorkteamInput) DescribeWorkteamRequest

DescribeWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN). 

// Example sending a request using DescribeWorkteamRequest.
req := client.DescribeWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeWorkteam

func (*Client) GetSearchSuggestionsRequest added in v0.9.0 

func (c *Client) GetSearchSuggestionsRequest(input *GetSearchSuggestionsInput) GetSearchSuggestionsRequest

GetSearchSuggestionsRequest returns a request value for making API operation for Amazon SageMaker Service.

An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics. 

// Example sending a request using GetSearchSuggestionsRequest.
req := client.GetSearchSuggestionsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/GetSearchSuggestions

func (*Client) ListAlgorithmsRequest added in v0.9.0 

func (c *Client) ListAlgorithmsRequest(input *ListAlgorithmsInput) ListAlgorithmsRequest

ListAlgorithmsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the machine learning algorithms that have been created. 

// Example sending a request using ListAlgorithmsRequest.
req := client.ListAlgorithmsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListAlgorithms

func (*Client) ListCodeRepositoriesRequest added in v0.9.0 

func (c *Client) ListCodeRepositoriesRequest(input *ListCodeRepositoriesInput) ListCodeRepositoriesRequest

ListCodeRepositoriesRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of the Git repositories in your account. 

// Example sending a request using ListCodeRepositoriesRequest.
req := client.ListCodeRepositoriesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListCodeRepositories

func (*Client) ListCompilationJobsRequest added in v0.9.0 

func (c *Client) ListCompilationJobsRequest(input *ListCompilationJobsInput) ListCompilationJobsRequest

ListCompilationJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists model compilation jobs that satisfy various filters.

To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob. 

// Example sending a request using ListCompilationJobsRequest.
req := client.ListCompilationJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListCompilationJobs

func (*Client) ListEndpointConfigsRequest added in v0.9.0 

func (c *Client) ListEndpointConfigsRequest(input *ListEndpointConfigsInput) ListEndpointConfigsRequest

ListEndpointConfigsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists endpoint configurations. 

// Example sending a request using ListEndpointConfigsRequest.
req := client.ListEndpointConfigsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointConfigs

func (*Client) ListEndpointsRequest added in v0.9.0 

func (c *Client) ListEndpointsRequest(input *ListEndpointsInput) ListEndpointsRequest

ListEndpointsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists endpoints. 

// Example sending a request using ListEndpointsRequest.
req := client.ListEndpointsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpoints

func (*Client) ListHyperParameterTuningJobsRequest added in v0.9.0 

func (c *Client) ListHyperParameterTuningJobsRequest(input *ListHyperParameterTuningJobsInput) ListHyperParameterTuningJobsRequest

ListHyperParameterTuningJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account. 

// Example sending a request using ListHyperParameterTuningJobsRequest.
req := client.ListHyperParameterTuningJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListHyperParameterTuningJobs

func (*Client) ListLabelingJobsForWorkteamRequest added in v0.9.0 

func (c *Client) ListLabelingJobsForWorkteamRequest(input *ListLabelingJobsForWorkteamInput) ListLabelingJobsForWorkteamRequest

ListLabelingJobsForWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of labeling jobs assigned to a specified work team. 

// Example sending a request using ListLabelingJobsForWorkteamRequest.
req := client.ListLabelingJobsForWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListLabelingJobsForWorkteam

func (*Client) ListLabelingJobsRequest added in v0.9.0 

func (c *Client) ListLabelingJobsRequest(input *ListLabelingJobsInput) ListLabelingJobsRequest

ListLabelingJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of labeling jobs. 

// Example sending a request using ListLabelingJobsRequest.
req := client.ListLabelingJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListLabelingJobs

func (*Client) ListModelPackagesRequest added in v0.9.0 

func (c *Client) ListModelPackagesRequest(input *ListModelPackagesInput) ListModelPackagesRequest

ListModelPackagesRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists the model packages that have been created. 

// Example sending a request using ListModelPackagesRequest.
req := client.ListModelPackagesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModelPackages

func (*Client) ListModelsRequest added in v0.9.0 

func (c *Client) ListModelsRequest(input *ListModelsInput) ListModelsRequest

ListModelsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists models created with the CreateModel (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateModel.html) API. 

// Example sending a request using ListModelsRequest.
req := client.ListModelsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModels

func (*Client) ListNotebookInstanceLifecycleConfigsRequest added in v0.9.0 

func (c *Client) ListNotebookInstanceLifecycleConfigsRequest(input *ListNotebookInstanceLifecycleConfigsInput) ListNotebookInstanceLifecycleConfigsRequest

ListNotebookInstanceLifecycleConfigsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API. 

// Example sending a request using ListNotebookInstanceLifecycleConfigsRequest.
req := client.ListNotebookInstanceLifecycleConfigsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstanceLifecycleConfigs

func (*Client) ListNotebookInstancesRequest added in v0.9.0 

func (c *Client) ListNotebookInstancesRequest(input *ListNotebookInstancesInput) ListNotebookInstancesRequest

ListNotebookInstancesRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region. 

// Example sending a request using ListNotebookInstancesRequest.
req := client.ListNotebookInstancesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstances

func (*Client) ListSubscribedWorkteamsRequest added in v0.9.0 

func (c *Client) ListSubscribedWorkteamsRequest(input *ListSubscribedWorkteamsInput) ListSubscribedWorkteamsRequest

ListSubscribedWorkteamsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter. 

// Example sending a request using ListSubscribedWorkteamsRequest.
req := client.ListSubscribedWorkteamsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListSubscribedWorkteams

func (*Client) ListTagsRequest added in v0.9.0 

func (c *Client) ListTagsRequest(input *ListTagsInput) ListTagsRequest

ListTagsRequest returns a request value for making API operation for Amazon SageMaker Service.

Returns the tags for the specified Amazon SageMaker resource. 

// Example sending a request using ListTagsRequest.
req := client.ListTagsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTags

func (*Client) ListTrainingJobsForHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) ListTrainingJobsForHyperParameterTuningJobRequest(input *ListTrainingJobsForHyperParameterTuningJobInput) ListTrainingJobsForHyperParameterTuningJobRequest

ListTrainingJobsForHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched. 

// Example sending a request using ListTrainingJobsForHyperParameterTuningJobRequest.
req := client.ListTrainingJobsForHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobsForHyperParameterTuningJob

func (*Client) ListTrainingJobsRequest added in v0.9.0 

func (c *Client) ListTrainingJobsRequest(input *ListTrainingJobsInput) ListTrainingJobsRequest

ListTrainingJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists training jobs. 

// Example sending a request using ListTrainingJobsRequest.
req := client.ListTrainingJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobs

func (*Client) ListTransformJobsRequest added in v0.9.0 

func (c *Client) ListTransformJobsRequest(input *ListTransformJobsInput) ListTransformJobsRequest

ListTransformJobsRequest returns a request value for making API operation for Amazon SageMaker Service.

Lists transform jobs. 

// Example sending a request using ListTransformJobsRequest.
req := client.ListTransformJobsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTransformJobs

func (*Client) ListWorkteamsRequest added in v0.9.0 

func (c *Client) ListWorkteamsRequest(input *ListWorkteamsInput) ListWorkteamsRequest

ListWorkteamsRequest returns a request value for making API operation for Amazon SageMaker Service.

Gets a list of work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter. 

// Example sending a request using ListWorkteamsRequest.
req := client.ListWorkteamsRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListWorkteams

func (*Client) RenderUiTemplateRequest added in v0.9.0 

func (c *Client) RenderUiTemplateRequest(input *RenderUiTemplateInput) RenderUiTemplateRequest

RenderUiTemplateRequest returns a request value for making API operation for Amazon SageMaker Service.

Renders the UI template so that you can preview the worker's experience. 

// Example sending a request using RenderUiTemplateRequest.
req := client.RenderUiTemplateRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/RenderUiTemplate

func (*Client) SearchRequest added in v0.9.0 

func (c *Client) SearchRequest(input *SearchInput) SearchRequest

SearchRequest returns a request value for making API operation for Amazon SageMaker Service.

Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of SearchResult objects in the response. You can sort the search results by any resource property in a ascending or descending order.

You can query against the following value types: numerical, text, Booleans, and timestamps. 

// Example sending a request using SearchRequest.
req := client.SearchRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/Search

func (*Client) StartNotebookInstanceRequest added in v0.9.0 

func (c *Client) StartNotebookInstanceRequest(input *StartNotebookInstanceInput) StartNotebookInstanceRequest

StartNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook. 

// Example sending a request using StartNotebookInstanceRequest.
req := client.StartNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StartNotebookInstance

func (*Client) StopCompilationJobRequest added in v0.9.0 

func (c *Client) StopCompilationJobRequest(input *StopCompilationJobInput) StopCompilationJobRequest

StopCompilationJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a model compilation job.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.

When it receives a StopCompilationJob request, Amazon SageMaker changes the CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped. 

// Example sending a request using StopCompilationJobRequest.
req := client.StopCompilationJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopCompilationJob

func (*Client) StopHyperParameterTuningJobRequest added in v0.9.0 

func (c *Client) StopHyperParameterTuningJobRequest(input *StopHyperParameterTuningJobInput) StopHyperParameterTuningJobRequest

StopHyperParameterTuningJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.

All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job. 

// Example sending a request using StopHyperParameterTuningJobRequest.
req := client.StopHyperParameterTuningJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopHyperParameterTuningJob

func (*Client) StopLabelingJobRequest added in v0.9.0 

func (c *Client) StopLabelingJobRequest(input *StopLabelingJobInput) StopLabelingJobRequest

StopLabelingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket. 

// Example sending a request using StopLabelingJobRequest.
req := client.StopLabelingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopLabelingJob

func (*Client) StopNotebookInstanceRequest added in v0.9.0 

func (c *Client) StopNotebookInstanceRequest(input *StopNotebookInstanceInput) StopNotebookInstanceRequest

StopNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML compute instance when you call StopNotebookInstance.

To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work. 

// Example sending a request using StopNotebookInstanceRequest.
req := client.StopNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopNotebookInstance

func (*Client) StopTrainingJobRequest added in v0.9.0 

func (c *Client) StopTrainingJobRequest(input *StopTrainingJobInput) StopTrainingJobRequest

StopTrainingJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost.

When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped. 

// Example sending a request using StopTrainingJobRequest.
req := client.StopTrainingJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTrainingJob

func (*Client) StopTransformJobRequest added in v0.9.0 

func (c *Client) StopTransformJobRequest(input *StopTransformJobInput) StopTransformJobRequest

StopTransformJobRequest returns a request value for making API operation for Amazon SageMaker Service.

Stops a transform job.

When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3. 

// Example sending a request using StopTransformJobRequest.
req := client.StopTransformJobRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTransformJob

func (*Client) UpdateCodeRepositoryRequest added in v0.9.0 

func (c *Client) UpdateCodeRepositoryRequest(input *UpdateCodeRepositoryInput) UpdateCodeRepositoryRequest

UpdateCodeRepositoryRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates the specified Git repository with the specified values. 

// Example sending a request using UpdateCodeRepositoryRequest.
req := client.UpdateCodeRepositoryRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateCodeRepository

func (*Client) UpdateEndpointRequest added in v0.9.0 

func (c *Client) UpdateEndpointRequest(input *UpdateEndpointInput) UpdateEndpointRequest

UpdateEndpointRequest returns a request value for making API operation for Amazon SageMaker Service.

Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is no availability loss).

When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint (https://docs.aws.amazon.com/sagemaker/latest/dg/API_DescribeEndpoint.html) API.

You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig. 

// Example sending a request using UpdateEndpointRequest.
req := client.UpdateEndpointRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpoint

func (*Client) UpdateEndpointWeightsAndCapacitiesRequest added in v0.9.0 

func (c *Client) UpdateEndpointWeightsAndCapacitiesRequest(input *UpdateEndpointWeightsAndCapacitiesInput) UpdateEndpointWeightsAndCapacitiesRequest

UpdateEndpointWeightsAndCapacitiesRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint (https://docs.aws.amazon.com/sagemaker/latest/dg/API_DescribeEndpoint.html) API. 

// Example sending a request using UpdateEndpointWeightsAndCapacitiesRequest.
req := client.UpdateEndpointWeightsAndCapacitiesRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpointWeightsAndCapacities

func (*Client) UpdateNotebookInstanceLifecycleConfigRequest added in v0.9.0 

func (c *Client) UpdateNotebookInstanceLifecycleConfigRequest(input *UpdateNotebookInstanceLifecycleConfigInput) UpdateNotebookInstanceLifecycleConfigRequest

UpdateNotebookInstanceLifecycleConfigRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API. 

// Example sending a request using UpdateNotebookInstanceLifecycleConfigRequest.
req := client.UpdateNotebookInstanceLifecycleConfigRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateNotebookInstanceLifecycleConfig

func (*Client) UpdateNotebookInstanceRequest added in v0.9.0 

func (c *Client) UpdateNotebookInstanceRequest(input *UpdateNotebookInstanceInput) UpdateNotebookInstanceRequest

UpdateNotebookInstanceRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements. 

// Example sending a request using UpdateNotebookInstanceRequest.
req := client.UpdateNotebookInstanceRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateNotebookInstance

func (*Client) UpdateWorkteamRequest added in v0.9.0 

func (c *Client) UpdateWorkteamRequest(input *UpdateWorkteamInput) UpdateWorkteamRequest

UpdateWorkteamRequest returns a request value for making API operation for Amazon SageMaker Service.

Updates an existing work team with new member definitions or description. 

// Example sending a request using UpdateWorkteamRequest.
req := client.UpdateWorkteamRequest(params)
resp, err := req.Send(context.TODO())
if err == nil {
    fmt.Println(resp)
}

Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateWorkteam

func (*Client) WaitUntilEndpointDeleted added in v0.9.0 

func (c *Client) WaitUntilEndpointDeleted(ctx context.Context, input *DescribeEndpointInput, opts ...aws.WaiterOption) error

WaitUntilEndpointDeleted uses the SageMaker API operation DescribeEndpoint to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilEndpointInService added in v0.9.0 

func (c *Client) WaitUntilEndpointInService(ctx context.Context, input *DescribeEndpointInput, opts ...aws.WaiterOption) error

WaitUntilEndpointInService uses the SageMaker API operation DescribeEndpoint to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilNotebookInstanceDeleted added in v0.9.0 

func (c *Client) WaitUntilNotebookInstanceDeleted(ctx context.Context, input *DescribeNotebookInstanceInput, opts ...aws.WaiterOption) error

WaitUntilNotebookInstanceDeleted uses the SageMaker API operation DescribeNotebookInstance to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilNotebookInstanceInService added in v0.9.0 

func (c *Client) WaitUntilNotebookInstanceInService(ctx context.Context, input *DescribeNotebookInstanceInput, opts ...aws.WaiterOption) error

WaitUntilNotebookInstanceInService uses the SageMaker API operation DescribeNotebookInstance to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilNotebookInstanceStopped added in v0.9.0 

func (c *Client) WaitUntilNotebookInstanceStopped(ctx context.Context, input *DescribeNotebookInstanceInput, opts ...aws.WaiterOption) error

WaitUntilNotebookInstanceStopped uses the SageMaker API operation DescribeNotebookInstance to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilTrainingJobCompletedOrStopped added in v0.9.0 

func (c *Client) WaitUntilTrainingJobCompletedOrStopped(ctx context.Context, input *DescribeTrainingJobInput, opts ...aws.WaiterOption) error

WaitUntilTrainingJobCompletedOrStopped uses the SageMaker API operation DescribeTrainingJob to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

func (*Client) WaitUntilTransformJobCompletedOrStopped added in v0.9.0 

func (c *Client) WaitUntilTransformJobCompletedOrStopped(ctx context.Context, input *DescribeTransformJobInput, opts ...aws.WaiterOption) error

WaitUntilTransformJobCompletedOrStopped uses the SageMaker API operation DescribeTransformJob to wait for a condition to be met before returning. If the condition is not met within the max attempt window, an error will be returned.

The context must be non-nil and will be used for request cancellation. If the context is nil a panic will occur. In the future the SDK may create sub-contexts for http.Requests. See https://golang.org/pkg/context/ for more information on using Contexts.

type CodeRepositorySortBy added in v0.6.0 

type CodeRepositorySortBy string
const (
	CodeRepositorySortByName             CodeRepositorySortBy = "Name"
	CodeRepositorySortByCreationTime     CodeRepositorySortBy = "CreationTime"
	CodeRepositorySortByLastModifiedTime CodeRepositorySortBy = "LastModifiedTime"
)

Enum values for CodeRepositorySortBy

func (CodeRepositorySortBy) MarshalValue added in v0.6.0 

func (enum CodeRepositorySortBy) MarshalValue() (string, error)

func (CodeRepositorySortBy) MarshalValueBuf added in v0.6.0 

func (enum CodeRepositorySortBy) MarshalValueBuf(b []byte) ([]byte, error)

type CodeRepositorySortOrder added in v0.6.0 

type CodeRepositorySortOrder string
const (
	CodeRepositorySortOrderAscending  CodeRepositorySortOrder = "Ascending"
	CodeRepositorySortOrderDescending CodeRepositorySortOrder = "Descending"
)

Enum values for CodeRepositorySortOrder

func (CodeRepositorySortOrder) MarshalValue added in v0.6.0 

func (enum CodeRepositorySortOrder) MarshalValue() (string, error)

func (CodeRepositorySortOrder) MarshalValueBuf added in v0.6.0 

func (enum CodeRepositorySortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type CodeRepositorySummary added in v0.6.0 

type CodeRepositorySummary struct {

	// The Amazon Resource Name (ARN) of the Git repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`

	// The name of the Git repository.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// The date and time that the Git repository was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Configuration details for the Git repository, including the URL where it
	// is located and the ARN of the AWS Secrets Manager secret that contains the
	// credentials used to access the repository.
	GitConfig *GitConfig `type:"structure"`

	// The date and time that the Git repository was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Specifies summary information about a Git repository.

func (CodeRepositorySummary) String added in v0.6.0 

func (s CodeRepositorySummary) String() string

String returns the string representation

type CognitoMemberDefinition added in v0.6.0 

type CognitoMemberDefinition struct {

	// An identifier for an application client. You must create the app client ID
	// using Amazon Cognito.
	//
	// ClientId is a required field
	ClientId *string `min:"1" type:"string" required:"true"`

	// An identifier for a user group.
	//
	// UserGroup is a required field
	UserGroup *string `min:"1" type:"string" required:"true"`

	// An identifier for a user pool. The user pool must be in the same region as
	// the service that you are calling.
	//
	// UserPool is a required field
	UserPool *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.

func (CognitoMemberDefinition) String added in v0.6.0 

func (s CognitoMemberDefinition) String() string

String returns the string representation

func (*CognitoMemberDefinition) Validate added in v0.6.0 

func (s *CognitoMemberDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CompilationJobStatus added in v0.6.0 

type CompilationJobStatus string
const (
	CompilationJobStatusInprogress CompilationJobStatus = "INPROGRESS"
	CompilationJobStatusCompleted  CompilationJobStatus = "COMPLETED"
	CompilationJobStatusFailed     CompilationJobStatus = "FAILED"
	CompilationJobStatusStarting   CompilationJobStatus = "STARTING"
	CompilationJobStatusStopping   CompilationJobStatus = "STOPPING"
	CompilationJobStatusStopped    CompilationJobStatus = "STOPPED"
)

Enum values for CompilationJobStatus

func (CompilationJobStatus) MarshalValue added in v0.6.0 

func (enum CompilationJobStatus) MarshalValue() (string, error)

func (CompilationJobStatus) MarshalValueBuf added in v0.6.0 

func (enum CompilationJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type CompilationJobSummary added in v0.6.0 

type CompilationJobSummary struct {

	// The time when the model compilation job completed.
	CompilationEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the model compilation job.
	//
	// CompilationJobArn is a required field
	CompilationJobArn *string `type:"string" required:"true"`

	// The name of the model compilation job that you want a summary for.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`

	// The status of the model compilation job.
	//
	// CompilationJobStatus is a required field
	CompilationJobStatus CompilationJobStatus `type:"string" required:"true" enum:"true"`

	// The time when the model compilation job started.
	CompilationStartTime *time.Time `type:"timestamp"`

	// The type of device that the model will run on after compilation has completed.
	//
	// CompilationTargetDevice is a required field
	CompilationTargetDevice TargetDevice `type:"string" required:"true" enum:"true"`

	// The time when the model compilation job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The time when the model compilation job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

A summary of a model compilation job.

func (CompilationJobSummary) String added in v0.6.0 

func (s CompilationJobSummary) String() string

String returns the string representation

type CompressionType 

type CompressionType string
const (
	CompressionTypeNone CompressionType = "None"
	CompressionTypeGzip CompressionType = "Gzip"
)

Enum values for CompressionType

func (CompressionType) MarshalValue added in v0.3.0 

func (enum CompressionType) MarshalValue() (string, error)

func (CompressionType) MarshalValueBuf added in v0.3.0 

func (enum CompressionType) MarshalValueBuf(b []byte) ([]byte, error)

type ContainerDefinition 

type ContainerDefinition struct {

	// This parameter is ignored for models that contain only a PrimaryContainer.
	//
	// When a ContainerDefinition is part of an inference pipeline, the value of
	// ths parameter uniquely identifies the container for the purposes of logging
	// and metrics. For information, see Use Logs and Metrics to Monitor an Inference
	// Pipeline (https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipeline-logs-metrics.html).
	// If you don't specify a value for this parameter for a ContainerDefinition
	// that is part of an inference pipeline, a unique name is automatically assigned
	// based on the position of the ContainerDefinition in the pipeline. If you
	// specify a value for the ContainerHostName for any ContainerDefinition that
	// is part of an inference pipeline, you must specify a value for the ContainerHostName
	// parameter of every ContainerDefinition in that pipeline.
	ContainerHostname *string `type:"string"`

	// The environment variables to set in the Docker container. Each key and value
	// in the Environment string to string map can have length of up to 1024. We
	// support up to 16 entries in the map.
	Environment map[string]string `type:"map"`

	// The Amazon EC2 Container Registry (Amazon ECR) path where inference code
	// is stored. If you are using your own custom algorithm instead of an algorithm
	// provided by Amazon SageMaker, the inference code must meet Amazon SageMaker
	// requirements. Amazon SageMaker supports both registry/repository[:tag] and
	// registry/repository[@digest] image path formats. For more information, see
	// Using Your Own Algorithms with Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html)
	Image *string `type:"string"`

	// The S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms,
	// but not if you use your own algorithms. For more information on built-in
	// algorithms, see Common Parameters (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html).
	//
	// If you provide a value for this parameter, Amazon SageMaker uses AWS Security
	// Token Service to download model artifacts from the S3 path you provide. AWS
	// STS is activated in your IAM user account by default. If you previously deactivated
	// AWS STS for a region, you need to reactivate AWS STS for that region. For
	// more information, see Activating and Deactivating AWS STS in an AWS Region
	// (https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_enable-regions.html)
	// in the AWS Identity and Access Management User Guide.
	//
	// If you use a built-in algorithm to create a model, Amazon SageMaker requires
	// that you provide a S3 path to the model artifacts in ModelDataUrl.
	ModelDataUrl *string `type:"string"`

	// The name or Amazon Resource Name (ARN) of the model package to use to create
	// the model.
	ModelPackageName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Describes the container, as part of model definition.

func (ContainerDefinition) String 

func (s ContainerDefinition) String() string

String returns the string representation

func (*ContainerDefinition) Validate 

func (s *ContainerDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ContentClassifier added in v0.6.0 

type ContentClassifier string
const (
	ContentClassifierFreeOfPersonallyIdentifiableInformation ContentClassifier = "FreeOfPersonallyIdentifiableInformation"
	ContentClassifierFreeOfAdultContent                      ContentClassifier = "FreeOfAdultContent"
)

Enum values for ContentClassifier

func (ContentClassifier) MarshalValue added in v0.6.0 

func (enum ContentClassifier) MarshalValue() (string, error)

func (ContentClassifier) MarshalValueBuf added in v0.6.0 

func (enum ContentClassifier) MarshalValueBuf(b []byte) ([]byte, error)

type ContinuousParameterRange added in v0.5.0 

type ContinuousParameterRange struct {

	// The maximum value for the hyperparameter. The tuning job uses floating-point
	// values between MinValue value and this value for tuning.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum value for the hyperparameter. The tuning job uses floating-point
	// values between this value and MaxValuefor tuning.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`

	// The name of the continuous hyperparameter to tune.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// The scale that hyperparameter tuning uses to search the hyperparameter range.
	// For information about choosing a hyperparameter scale, see Hyperparameter
	// Scaling (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type).
	// One of the following values:
	//
	// Auto
	//
	// Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
	//
	// Linear
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a linear scale.
	//
	// Logarithmic
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a logarithmic scale.
	//
	// Logarithmic scaling works only for ranges that have only values greater than
	// 0.
	//
	// ReverseLogarithmic
	//
	// Hyperparemeter tuning searches the values in the hyperparameter range by
	// using a reverse logarithmic scale.
	//
	// Reverse logarithmic scaling works only for ranges that are entirely within
	// the range 0<=x<1.0.
	ScalingType HyperParameterScalingType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

A list of continuous hyperparameters to tune.

func (ContinuousParameterRange) String added in v0.5.0 

func (s ContinuousParameterRange) String() string

String returns the string representation

func (*ContinuousParameterRange) Validate added in v0.5.0 

func (s *ContinuousParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ContinuousParameterRangeSpecification added in v0.6.0 

type ContinuousParameterRangeSpecification struct {

	// The maximum floating-point value allowed.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum floating-point value allowed.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Defines the possible values for a continuous hyperparameter.

func (ContinuousParameterRangeSpecification) String added in v0.6.0 

func (s ContinuousParameterRangeSpecification) String() string

String returns the string representation

func (*ContinuousParameterRangeSpecification) Validate added in v0.6.0 

func (s *ContinuousParameterRangeSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateAlgorithmInput added in v0.6.0 

type CreateAlgorithmInput struct {

	// A description of the algorithm.
	AlgorithmDescription *string `type:"string"`

	// The name of the algorithm.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// Whether to certify the algorithm so that it can be listed in AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// Specifies details about inference jobs that the algorithm runs, including
	// the following:
	//
	//    * The Amazon ECR paths of containers that contain the inference code and
	//    model artifacts.
	//
	//    * The instance types that the algorithm supports for transform jobs and
	//    real-time endpoints used for inference.
	//
	//    * The input and output content formats that the algorithm supports for
	//    inference.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// Specifies details about training jobs run by this algorithm, including the
	// following:
	//
	//    * The Amazon ECR path of the container and the version digest of the algorithm.
	//
	//    * The hyperparameters that the algorithm supports.
	//
	//    * The instance types that the algorithm supports for training.
	//
	//    * Whether the algorithm supports distributed training.
	//
	//    * The metrics that the algorithm emits to Amazon CloudWatch.
	//
	//    * Which metrics that the algorithm emits can be used as the objective
	//    metric for hyperparameter tuning jobs.
	//
	//    * The input channels that the algorithm supports for training data. For
	//    example, an algorithm might support train, validation, and test channels.
	//
	// TrainingSpecification is a required field
	TrainingSpecification *TrainingSpecification `type:"structure" required:"true"`

	// Specifies configurations for one or more training jobs and that Amazon SageMaker
	// runs to test the algorithm's training code and, optionally, one or more batch
	// transform jobs that Amazon SageMaker runs to test the algorithm's inference
	// code.
	ValidationSpecification *AlgorithmValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateAlgorithmInput) String added in v0.6.0 

func (s CreateAlgorithmInput) String() string

String returns the string representation

func (*CreateAlgorithmInput) Validate added in v0.6.0 

func (s *CreateAlgorithmInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateAlgorithmOutput added in v0.6.0 

type CreateAlgorithmOutput struct {

	// The Amazon Resource Name (ARN) of the new algorithm.
	//
	// AlgorithmArn is a required field
	AlgorithmArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateAlgorithmOutput) String added in v0.6.0 

func (s CreateAlgorithmOutput) String() string

String returns the string representation

type CreateAlgorithmRequest added in v0.6.0 

type CreateAlgorithmRequest struct {
	*aws.Request
	Input *CreateAlgorithmInput
	Copy  func(*CreateAlgorithmInput) CreateAlgorithmRequest
}

CreateAlgorithmRequest is the request type for the CreateAlgorithm API operation.

func (CreateAlgorithmRequest) Send added in v0.6.0 

func (r CreateAlgorithmRequest) Send(ctx context.Context) (*CreateAlgorithmResponse, error)

Send marshals and sends the CreateAlgorithm API request.

type CreateAlgorithmResponse added in v0.9.0 

type CreateAlgorithmResponse struct {
	*CreateAlgorithmOutput
	// contains filtered or unexported fields
}

CreateAlgorithmResponse is the response type for the CreateAlgorithm API operation.

func (*CreateAlgorithmResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateAlgorithmResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateAlgorithm request.

type CreateCodeRepositoryInput added in v0.6.0 

type CreateCodeRepositoryInput struct {

	// The name of the Git repository. The name must have 1 to 63 characters. Valid
	// characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// Specifies details about the repository, including the URL where the repository
	// is located, the default branch, and credentials to use to access the repository.
	//
	// GitConfig is a required field
	GitConfig *GitConfig `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCodeRepositoryInput) String added in v0.6.0 

func (s CreateCodeRepositoryInput) String() string

String returns the string representation

func (*CreateCodeRepositoryInput) Validate added in v0.6.0 

func (s *CreateCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateCodeRepositoryOutput added in v0.6.0 

type CreateCodeRepositoryOutput struct {

	// The Amazon Resource Name (ARN) of the new repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCodeRepositoryOutput) String added in v0.6.0 

func (s CreateCodeRepositoryOutput) String() string

String returns the string representation

type CreateCodeRepositoryRequest added in v0.6.0 

type CreateCodeRepositoryRequest struct {
	*aws.Request
	Input *CreateCodeRepositoryInput
	Copy  func(*CreateCodeRepositoryInput) CreateCodeRepositoryRequest
}

CreateCodeRepositoryRequest is the request type for the CreateCodeRepository API operation.

func (CreateCodeRepositoryRequest) Send added in v0.6.0 

func (r CreateCodeRepositoryRequest) Send(ctx context.Context) (*CreateCodeRepositoryResponse, error)

Send marshals and sends the CreateCodeRepository API request.

type CreateCodeRepositoryResponse added in v0.9.0 

type CreateCodeRepositoryResponse struct {
	*CreateCodeRepositoryOutput
	// contains filtered or unexported fields
}

CreateCodeRepositoryResponse is the response type for the CreateCodeRepository API operation.

func (*CreateCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateCodeRepository request.

type CreateCompilationJobInput added in v0.6.0 

type CreateCompilationJobInput struct {

	// A name for the model compilation job. The name must be unique within the
	// AWS Region and within your AWS account.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`

	// Provides information about the location of input model artifacts, the name
	// and shape of the expected data inputs, and the framework in which the model
	// was trained.
	//
	// InputConfig is a required field
	InputConfig *InputConfig `type:"structure" required:"true"`

	// Provides information about the output location for the compiled model and
	// the target device the model runs on.
	//
	// OutputConfig is a required field
	OutputConfig *OutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker
	// to perform tasks on your behalf.
	//
	// During model compilation, Amazon SageMaker needs your permission to:
	//
	//    * Read input data from an S3 bucket
	//
	//    * Write model artifacts to an S3 bucket
	//
	//    * Write logs to Amazon CloudWatch Logs
	//
	//    * Publish metrics to Amazon CloudWatch
	//
	// You grant permissions for all of these tasks to an IAM role. To pass this
	// role to Amazon SageMaker, the caller of this API must have the iam:PassRole
	// permission. For more information, see Amazon SageMaker Roles. (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html)
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a limit to how long a model compilation job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the compilation job. Use this
	// API to cap model training costs.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCompilationJobInput) String added in v0.6.0 

func (s CreateCompilationJobInput) String() string

String returns the string representation

func (*CreateCompilationJobInput) Validate added in v0.6.0 

func (s *CreateCompilationJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateCompilationJobOutput added in v0.6.0 

type CreateCompilationJobOutput struct {

	// If the action is successful, the service sends back an HTTP 200 response.
	// Amazon SageMaker returns the following data in JSON format:
	//
	//    * CompilationJobArn: The Amazon Resource Name (ARN) of the compiled job.
	//
	// CompilationJobArn is a required field
	CompilationJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateCompilationJobOutput) String added in v0.6.0 

func (s CreateCompilationJobOutput) String() string

String returns the string representation

type CreateCompilationJobRequest added in v0.6.0 

type CreateCompilationJobRequest struct {
	*aws.Request
	Input *CreateCompilationJobInput
	Copy  func(*CreateCompilationJobInput) CreateCompilationJobRequest
}

CreateCompilationJobRequest is the request type for the CreateCompilationJob API operation.

func (CreateCompilationJobRequest) Send added in v0.6.0 

func (r CreateCompilationJobRequest) Send(ctx context.Context) (*CreateCompilationJobResponse, error)

Send marshals and sends the CreateCompilationJob API request.

type CreateCompilationJobResponse added in v0.9.0 

type CreateCompilationJobResponse struct {
	*CreateCompilationJobOutput
	// contains filtered or unexported fields
}

CreateCompilationJobResponse is the response type for the CreateCompilationJob API operation.

func (*CreateCompilationJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateCompilationJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateCompilationJob request.

type CreateEndpointConfigInput 

type CreateEndpointConfigInput struct {

	// The name of the endpoint configuration. You specify this name in a CreateEndpoint
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html)
	// request.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon
	// SageMaker uses to encrypt data on the storage volume attached to the ML compute
	// instance that hosts the endpoint.
	//
	// Nitro-based instances do not support encryption with AWS KMS. If any of the
	// models that you specify in the ProductionVariants parameter use nitro-based
	// instances, do not specify a value for the KmsKeyId parameter. If you specify
	// a value for KmsKeyId when using any nitro-based instances, the call to CreateEndpointConfig
	// fails.
	//
	// For a list of nitro-based instances, see Nitro-based Instances (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-types.html#ec2-nitro-instances)
	// in the Amazon Elastic Compute Cloud User Guide for Linux Instances.
	//
	// For more information about storage volumes on nitro-based instances, see
	// Amazon EBS and NVMe on Linux Instances (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/nvme-ebs-volumes.html).
	KmsKeyId *string `type:"string"`

	// An list of ProductionVariant objects, one for each model that you want to
	// host at this endpoint.
	//
	// ProductionVariants is a required field
	ProductionVariants []ProductionVariant `min:"1" type:"list" required:"true"`

	// A list of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateEndpointConfigInput) String 

func (s CreateEndpointConfigInput) String() string

String returns the string representation

func (*CreateEndpointConfigInput) Validate 

func (s *CreateEndpointConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateEndpointConfigOutput 

type CreateEndpointConfigOutput struct {

	// The Amazon Resource Name (ARN) of the endpoint configuration.
	//
	// EndpointConfigArn is a required field
	EndpointConfigArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateEndpointConfigOutput) String 

func (s CreateEndpointConfigOutput) String() string

String returns the string representation

type CreateEndpointConfigRequest 

type CreateEndpointConfigRequest struct {
	*aws.Request
	Input *CreateEndpointConfigInput
	Copy  func(*CreateEndpointConfigInput) CreateEndpointConfigRequest
}

CreateEndpointConfigRequest is the request type for the CreateEndpointConfig API operation.

func (CreateEndpointConfigRequest) Send 

func (r CreateEndpointConfigRequest) Send(ctx context.Context) (*CreateEndpointConfigResponse, error)

Send marshals and sends the CreateEndpointConfig API request.

type CreateEndpointConfigResponse added in v0.9.0 

type CreateEndpointConfigResponse struct {
	*CreateEndpointConfigOutput
	// contains filtered or unexported fields
}

CreateEndpointConfigResponse is the response type for the CreateEndpointConfig API operation.

func (*CreateEndpointConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateEndpointConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateEndpointConfig request.

type CreateEndpointInput 

type CreateEndpointInput struct {

	// The name of an endpoint configuration. For more information, see CreateEndpointConfig
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html).
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// The name of the endpoint. The name must be unique within an AWS Region in
	// your AWS account.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)in
	// the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateEndpointInput) String 

func (s CreateEndpointInput) String() string

String returns the string representation

func (*CreateEndpointInput) Validate 

func (s *CreateEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateEndpointOutput 

type CreateEndpointOutput struct {

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateEndpointOutput) String 

func (s CreateEndpointOutput) String() string

String returns the string representation

type CreateEndpointRequest 

type CreateEndpointRequest struct {
	*aws.Request
	Input *CreateEndpointInput
	Copy  func(*CreateEndpointInput) CreateEndpointRequest
}

CreateEndpointRequest is the request type for the CreateEndpoint API operation.

func (CreateEndpointRequest) Send 

func (r CreateEndpointRequest) Send(ctx context.Context) (*CreateEndpointResponse, error)

Send marshals and sends the CreateEndpoint API request.

type CreateEndpointResponse added in v0.9.0 

type CreateEndpointResponse struct {
	*CreateEndpointOutput
	// contains filtered or unexported fields
}

CreateEndpointResponse is the response type for the CreateEndpoint API operation.

func (*CreateEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateEndpoint request.

type CreateHyperParameterTuningJobInput added in v0.5.0 

type CreateHyperParameterTuningJobInput struct {

	// The HyperParameterTuningJobConfig object that describes the tuning job, including
	// the search strategy, the objective metric used to evaluate training jobs,
	// ranges of parameters to search, and resource limits for the tuning job. For
	// more information, see automatic-model-tuning
	//
	// HyperParameterTuningJobConfig is a required field
	HyperParameterTuningJobConfig *HyperParameterTuningJobConfig `type:"structure" required:"true"`

	// The name of the tuning job. This name is the prefix for the names of all
	// training jobs that this tuning job launches. The name must be unique within
	// the same AWS account and AWS Region. The name must have { } to { } characters.
	// Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name
	// is not case sensitive.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// An array of key-value pairs. You can use tags to categorize your AWS resources
	// in different ways, for example, by purpose, owner, or environment. For more
	// information, see AWS Tagging Strategies (https://docs.aws.amazon.com/https:/aws.amazon.com/answers/account-management/aws-tagging-strategies/).
	//
	// Tags that you specify for the tuning job are also added to all training jobs
	// that the tuning job launches.
	Tags []Tag `type:"list"`

	// The HyperParameterTrainingJobDefinition object that describes the training
	// jobs that this tuning job launches, including static hyperparameters, input
	// data configuration, output data configuration, resource configuration, and
	// stopping condition.
	TrainingJobDefinition *HyperParameterTrainingJobDefinition `type:"structure"`

	// Specifies the configuration for starting the hyperparameter tuning job using
	// one or more previous tuning jobs as a starting point. The results of previous
	// tuning jobs are used to inform which combinations of hyperparameters to search
	// over in the new tuning job.
	//
	// All training jobs launched by the new hyperparameter tuning job are evaluated
	// by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM
	// as the WarmStartType value for the warm start configuration, the training
	// job that performs the best in the new tuning job is compared to the best
	// training jobs from the parent tuning jobs. From these, the training job that
	// performs the best as measured by the objective metric is returned as the
	// overall best training job.
	//
	// All training jobs launched by parent hyperparameter tuning jobs and the new
	// hyperparameter tuning jobs count against the limit of training jobs for the
	// tuning job.
	WarmStartConfig *HyperParameterTuningJobWarmStartConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateHyperParameterTuningJobInput) String added in v0.5.0 

func (s CreateHyperParameterTuningJobInput) String() string

String returns the string representation

func (*CreateHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *CreateHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateHyperParameterTuningJobOutput added in v0.5.0 

type CreateHyperParameterTuningJobOutput struct {

	// The Amazon Resource Name (ARN) of the tuning job. Amazon SageMaker assigns
	// an ARN to a hyperparameter tuning job when you create it.
	//
	// HyperParameterTuningJobArn is a required field
	HyperParameterTuningJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateHyperParameterTuningJobOutput) String added in v0.5.0 

func (s CreateHyperParameterTuningJobOutput) String() string

String returns the string representation

type CreateHyperParameterTuningJobRequest added in v0.5.0 

type CreateHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *CreateHyperParameterTuningJobInput
	Copy  func(*CreateHyperParameterTuningJobInput) CreateHyperParameterTuningJobRequest
}

CreateHyperParameterTuningJobRequest is the request type for the CreateHyperParameterTuningJob API operation.

func (CreateHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r CreateHyperParameterTuningJobRequest) Send(ctx context.Context) (*CreateHyperParameterTuningJobResponse, error)

Send marshals and sends the CreateHyperParameterTuningJob API request.

type CreateHyperParameterTuningJobResponse added in v0.9.0 

type CreateHyperParameterTuningJobResponse struct {
	*CreateHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

CreateHyperParameterTuningJobResponse is the response type for the CreateHyperParameterTuningJob API operation.

func (*CreateHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateHyperParameterTuningJob request.

type CreateLabelingJobInput added in v0.6.0 

type CreateLabelingJobInput struct {

	// Configures the information required for human workers to complete a labeling
	// task.
	//
	// HumanTaskConfig is a required field
	HumanTaskConfig *HumanTaskConfig `type:"structure" required:"true"`

	// Input data for the labeling job, such as the Amazon S3 location of the data
	// objects and the location of the manifest file that describes the data objects.
	//
	// InputConfig is a required field
	InputConfig *LabelingJobInputConfig `type:"structure" required:"true"`

	// The attribute name to use for the label in the output manifest file. This
	// is the key for the key/value pair formed with the label that a worker assigns
	// to the object. The name can't end with "-metadata". If you are running a
	// semantic segmentation labeling job, the attribute name must end with "-ref".
	// If you are running any other kind of labeling job, the attribute name must
	// not end with "-ref".
	//
	// LabelAttributeName is a required field
	LabelAttributeName *string `min:"1" type:"string" required:"true"`

	// The S3 URL of the file that defines the categories used to label the data
	// objects.
	//
	// The file is a JSON structure in the following format:
	//
	// {
	//
	// "document-version": "2018-11-28"
	//
	// "labels": [
	//
	// {
	//
	// "label": "label 1"
	//
	// },
	//
	// {
	//
	// "label": "label 2"
	//
	// },
	//
	// ...
	//
	// {
	//
	// "label": "label n"
	//
	// }
	//
	// ]
	//
	// }
	LabelCategoryConfigS3Uri *string `type:"string"`

	// Configures the information required to perform automated data labeling.
	LabelingJobAlgorithmsConfig *LabelingJobAlgorithmsConfig `type:"structure"`

	// The name of the labeling job. This name is used to identify the job in a
	// list of labeling jobs.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`

	// The location of the output data and the AWS Key Management Service key ID
	// for the key used to encrypt the output data, if any.
	//
	// OutputConfig is a required field
	OutputConfig *LabelingJobOutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform
	// tasks on your behalf during data labeling. You must grant this role the necessary
	// permissions so that Amazon SageMaker can successfully complete data labeling.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// A set of conditions for stopping the labeling job. If any of the conditions
	// are met, the job is automatically stopped. You can use these conditions to
	// control the cost of data labeling.
	StoppingConditions *LabelingJobStoppingConditions `type:"structure"`

	// An array of key/value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (CreateLabelingJobInput) String added in v0.6.0 

func (s CreateLabelingJobInput) String() string

String returns the string representation

func (*CreateLabelingJobInput) Validate added in v0.6.0 

func (s *CreateLabelingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateLabelingJobOutput added in v0.6.0 

type CreateLabelingJobOutput struct {

	// The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify
	// the labeling job.
	//
	// LabelingJobArn is a required field
	LabelingJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateLabelingJobOutput) String added in v0.6.0 

func (s CreateLabelingJobOutput) String() string

String returns the string representation

type CreateLabelingJobRequest added in v0.6.0 

type CreateLabelingJobRequest struct {
	*aws.Request
	Input *CreateLabelingJobInput
	Copy  func(*CreateLabelingJobInput) CreateLabelingJobRequest
}

CreateLabelingJobRequest is the request type for the CreateLabelingJob API operation.

func (CreateLabelingJobRequest) Send added in v0.6.0 

func (r CreateLabelingJobRequest) Send(ctx context.Context) (*CreateLabelingJobResponse, error)

Send marshals and sends the CreateLabelingJob API request.

type CreateLabelingJobResponse added in v0.9.0 

type CreateLabelingJobResponse struct {
	*CreateLabelingJobOutput
	// contains filtered or unexported fields
}

CreateLabelingJobResponse is the response type for the CreateLabelingJob API operation.

func (*CreateLabelingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateLabelingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateLabelingJob request.

type CreateModelInput 

type CreateModelInput struct {

	// Specifies the containers in the inference pipeline.
	Containers []ContainerDefinition `type:"list"`

	// Isolates the model container. No inbound or outbound network calls can be
	// made to or from the model container.
	//
	// The Semantic Segmentation built-in algorithm does not support network isolation.
	EnableNetworkIsolation *bool `type:"boolean"`

	// The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
	// assume to access model artifacts and docker image for deployment on ML compute
	// instances or for batch transform jobs. Deploying on ML compute instances
	// is part of model hosting. For more information, see Amazon SageMaker Roles
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	//
	// ExecutionRoleArn is a required field
	ExecutionRoleArn *string `min:"20" type:"string" required:"true"`

	// The name of the new model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// The location of the primary docker image containing inference code, associated
	// artifacts, and custom environment map that the inference code uses when the
	// model is deployed for predictions.
	PrimaryContainer *ContainerDefinition `type:"structure"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// A VpcConfig (https://docs.aws.amazon.com/sagemaker/latest/dg/API_VpcConfig.html)
	// object that specifies the VPC that you want your model to connect to. Control
	// access to and from your model container by configuring the VPC. VpcConfig
	// is used in hosting services and in batch transform. For more information,
	// see Protect Endpoints by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html)
	// and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private
	// Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateModelInput) String 

func (s CreateModelInput) String() string

String returns the string representation

func (*CreateModelInput) Validate 

func (s *CreateModelInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateModelOutput 

type CreateModelOutput struct {

	// The ARN of the model created in Amazon SageMaker.
	//
	// ModelArn is a required field
	ModelArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateModelOutput) String 

func (s CreateModelOutput) String() string

String returns the string representation

type CreateModelPackageInput added in v0.6.0 

type CreateModelPackageInput struct {

	// Whether to certify the model package for listing on AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// Specifies details about inference jobs that can be run with models based
	// on this model package, including the following:
	//
	//    * The Amazon ECR paths of containers that contain the inference code and
	//    model artifacts.
	//
	//    * The instance types that the model package supports for transform jobs
	//    and real-time endpoints used for inference.
	//
	//    * The input and output content formats that the model package supports
	//    for inference.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// A description of the model package.
	ModelPackageDescription *string `type:"string"`

	// The name of the model package. The name must have 1 to 63 characters. Valid
	// characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`

	// Details about the algorithm that was used to create the model package.
	SourceAlgorithmSpecification *SourceAlgorithmSpecification `type:"structure"`

	// Specifies configurations for one or more transform jobs that Amazon SageMaker
	// runs to test the model package.
	ValidationSpecification *ModelPackageValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateModelPackageInput) String added in v0.6.0 

func (s CreateModelPackageInput) String() string

String returns the string representation

func (*CreateModelPackageInput) Validate added in v0.6.0 

func (s *CreateModelPackageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateModelPackageOutput added in v0.6.0 

type CreateModelPackageOutput struct {

	// The Amazon Resource Name (ARN) of the new model package.
	//
	// ModelPackageArn is a required field
	ModelPackageArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateModelPackageOutput) String added in v0.6.0 

func (s CreateModelPackageOutput) String() string

String returns the string representation

type CreateModelPackageRequest added in v0.6.0 

type CreateModelPackageRequest struct {
	*aws.Request
	Input *CreateModelPackageInput
	Copy  func(*CreateModelPackageInput) CreateModelPackageRequest
}

CreateModelPackageRequest is the request type for the CreateModelPackage API operation.

func (CreateModelPackageRequest) Send added in v0.6.0 

func (r CreateModelPackageRequest) Send(ctx context.Context) (*CreateModelPackageResponse, error)

Send marshals and sends the CreateModelPackage API request.

type CreateModelPackageResponse added in v0.9.0 

type CreateModelPackageResponse struct {
	*CreateModelPackageOutput
	// contains filtered or unexported fields
}

CreateModelPackageResponse is the response type for the CreateModelPackage API operation.

func (*CreateModelPackageResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateModelPackageResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateModelPackage request.

type CreateModelRequest 

type CreateModelRequest struct {
	*aws.Request
	Input *CreateModelInput
	Copy  func(*CreateModelInput) CreateModelRequest
}

CreateModelRequest is the request type for the CreateModel API operation.

func (CreateModelRequest) Send 

func (r CreateModelRequest) Send(ctx context.Context) (*CreateModelResponse, error)

Send marshals and sends the CreateModel API request.

type CreateModelResponse added in v0.9.0 

type CreateModelResponse struct {
	*CreateModelOutput
	// contains filtered or unexported fields
}

CreateModelResponse is the response type for the CreateModel API operation.

func (*CreateModelResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateModelResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateModel request.

type CreateNotebookInstanceInput 

type CreateNotebookInstanceInput struct {

	// A list of Elastic Inference (EI) instance types to associate with this notebook
	// instance. Currently, only one instance type can be associated with a notebook
	// instance. For more information, see Using Elastic Inference in Amazon SageMaker
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
	AcceleratorTypes []NotebookInstanceAcceleratorType `type:"list"`

	// An array of up to three Git repositories to associate with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// A Git repository to associate with the notebook instance as its default code
	// repository. This can be either the name of a Git repository stored as a resource
	// in your account, or the URL of a Git repository in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// Sets whether Amazon SageMaker provides internet access to the notebook instance.
	// If you set this to Disabled this notebook instance will be able to access
	// resources only in your VPC, and will not be able to connect to Amazon SageMaker
	// training and endpoint services unless your configure a NAT Gateway in your
	// VPC.
	//
	// For more information, see Notebook Instances Are Internet-Enabled by Default
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/appendix-additional-considerations.html#appendix-notebook-and-internet-access).
	// You can set the value of this parameter to Disabled only if you set a value
	// for the SubnetId parameter.
	DirectInternetAccess DirectInternetAccess `type:"string" enum:"true"`

	// The type of ML compute instance to launch for the notebook instance.
	//
	// InstanceType is a required field
	InstanceType InstanceType `type:"string" required:"true" enum:"true"`

	// The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon
	// SageMaker uses to encrypt data on the storage volume attached to your notebook
	// instance. The KMS key you provide must be enabled. For information, see Enabling
	// and Disabling Keys (https://docs.aws.amazon.com/kms/latest/developerguide/enabling-keys.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// The name of a lifecycle configuration to associate with the notebook instance.
	// For information about lifestyle configurations, see Step 2.1: (Optional)
	// Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
	LifecycleConfigName *string `type:"string"`

	// The name of the new notebook instance.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// When you send any requests to AWS resources from the notebook instance, Amazon
	// SageMaker assumes this role to perform tasks on your behalf. You must grant
	// this role necessary permissions so Amazon SageMaker can perform these tasks.
	// The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com)
	// permissionsto to assume this role. For more information, see Amazon SageMaker
	// Roles (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Whether root access is enabled or disabled for users of the notebook instance.
	// The default value is Enabled.
	//
	// Lifecycle configurations need root access to be able to set up a notebook
	// instance. Because of this, lifecycle configurations associated with a notebook
	// instance always run with root access even if you disable root access for
	// users.
	RootAccess RootAccess `type:"string" enum:"true"`

	// The VPC security group IDs, in the form sg-xxxxxxxx. The security groups
	// must be for the same VPC as specified in the subnet.
	SecurityGroupIds []string `type:"list"`

	// The ID of the subnet in a VPC to which you would like to have a connectivity
	// from your ML compute instance.
	SubnetId *string `type:"string"`

	// A list of tags to associate with the notebook instance. You can add tags
	// later by using the CreateTags API.
	Tags []Tag `type:"list"`

	// The size, in GB, of the ML storage volume to attach to the notebook instance.
	// The default value is 5 GB.
	VolumeSizeInGB *int64 `min:"5" type:"integer"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceInput) String 

func (s CreateNotebookInstanceInput) String() string

String returns the string representation

func (*CreateNotebookInstanceInput) Validate 

func (s *CreateNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateNotebookInstanceLifecycleConfigInput added in v0.4.0 

type CreateNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`

	// A shell script that runs only once, when you create a notebook instance.
	// The shell script must be a base64-encoded string.
	OnCreate []NotebookInstanceLifecycleHook `type:"list"`

	// A shell script that runs every time you start a notebook instance, including
	// when you create the notebook instance. The shell script must be a base64-encoded
	// string.
	OnStart []NotebookInstanceLifecycleHook `type:"list"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s CreateNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*CreateNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *CreateNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type CreateNotebookInstanceLifecycleConfigOutput struct {

	// The Amazon Resource Name (ARN) of the lifecycle configuration.
	NotebookInstanceLifecycleConfigArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s CreateNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type CreateNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type CreateNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *CreateNotebookInstanceLifecycleConfigInput
	Copy  func(*CreateNotebookInstanceLifecycleConfigInput) CreateNotebookInstanceLifecycleConfigRequest
}

CreateNotebookInstanceLifecycleConfigRequest is the request type for the CreateNotebookInstanceLifecycleConfig API operation.

func (CreateNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r CreateNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*CreateNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the CreateNotebookInstanceLifecycleConfig API request.

type CreateNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type CreateNotebookInstanceLifecycleConfigResponse struct {
	*CreateNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

CreateNotebookInstanceLifecycleConfigResponse is the response type for the CreateNotebookInstanceLifecycleConfig API operation.

func (*CreateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateNotebookInstanceLifecycleConfig request.

type CreateNotebookInstanceOutput 

type CreateNotebookInstanceOutput struct {

	// The Amazon Resource Name (ARN) of the notebook instance.
	NotebookInstanceArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateNotebookInstanceOutput) String 

func (s CreateNotebookInstanceOutput) String() string

String returns the string representation

type CreateNotebookInstanceRequest 

type CreateNotebookInstanceRequest struct {
	*aws.Request
	Input *CreateNotebookInstanceInput
	Copy  func(*CreateNotebookInstanceInput) CreateNotebookInstanceRequest
}

CreateNotebookInstanceRequest is the request type for the CreateNotebookInstance API operation.

func (CreateNotebookInstanceRequest) Send 

func (r CreateNotebookInstanceRequest) Send(ctx context.Context) (*CreateNotebookInstanceResponse, error)

Send marshals and sends the CreateNotebookInstance API request.

type CreateNotebookInstanceResponse added in v0.9.0 

type CreateNotebookInstanceResponse struct {
	*CreateNotebookInstanceOutput
	// contains filtered or unexported fields
}

CreateNotebookInstanceResponse is the response type for the CreateNotebookInstance API operation.

func (*CreateNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateNotebookInstance request.

type CreatePresignedNotebookInstanceUrlInput 

type CreatePresignedNotebookInstanceUrlInput struct {

	// The name of the notebook instance.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// The duration of the session, in seconds. The default is 12 hours.
	SessionExpirationDurationInSeconds *int64 `min:"1800" type:"integer"`
	// contains filtered or unexported fields
}

func (CreatePresignedNotebookInstanceUrlInput) String 

func (s CreatePresignedNotebookInstanceUrlInput) String() string

String returns the string representation

func (*CreatePresignedNotebookInstanceUrlInput) Validate 

func (s *CreatePresignedNotebookInstanceUrlInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreatePresignedNotebookInstanceUrlOutput 

type CreatePresignedNotebookInstanceUrlOutput struct {

	// A JSON object that contains the URL string.
	AuthorizedUrl *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreatePresignedNotebookInstanceUrlOutput) String 

func (s CreatePresignedNotebookInstanceUrlOutput) String() string

String returns the string representation

type CreatePresignedNotebookInstanceUrlRequest 

type CreatePresignedNotebookInstanceUrlRequest struct {
	*aws.Request
	Input *CreatePresignedNotebookInstanceUrlInput
	Copy  func(*CreatePresignedNotebookInstanceUrlInput) CreatePresignedNotebookInstanceUrlRequest
}

CreatePresignedNotebookInstanceUrlRequest is the request type for the CreatePresignedNotebookInstanceUrl API operation.

func (CreatePresignedNotebookInstanceUrlRequest) Send 

func (r CreatePresignedNotebookInstanceUrlRequest) Send(ctx context.Context) (*CreatePresignedNotebookInstanceUrlResponse, error)

Send marshals and sends the CreatePresignedNotebookInstanceUrl API request.

type CreatePresignedNotebookInstanceUrlResponse added in v0.9.0 

type CreatePresignedNotebookInstanceUrlResponse struct {
	*CreatePresignedNotebookInstanceUrlOutput
	// contains filtered or unexported fields
}

CreatePresignedNotebookInstanceUrlResponse is the response type for the CreatePresignedNotebookInstanceUrl API operation.

func (*CreatePresignedNotebookInstanceUrlResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreatePresignedNotebookInstanceUrlResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreatePresignedNotebookInstanceUrl request.

type CreateTrainingJobInput 

type CreateTrainingJobInput struct {

	// The registry path of the Docker image that contains the training algorithm
	// and algorithm-specific metadata, including the input mode. For more information
	// about algorithms provided by Amazon SageMaker, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	// For information about providing your own algorithms, see Using Your Own Algorithms
	// with Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *AlgorithmSpecification `type:"structure" required:"true"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithm in distributed training. For more information,
	// see Protect Communications Between ML Compute Instances in a Distributed
	// Training Job (https://docs.aws.amazon.com/sagemaker/latest/dg/train-encrypt.html).
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// To train models using managed spot training, choose True. Managed spot training
	// provides a fully managed and scalable infrastructure for training machine
	// learning models. this option is useful when training jobs can be interrupted
	// and when there is flexibility when the training job is run.
	//
	// The complete and intermediate results of jobs are stored in an Amazon S3
	// bucket, and can be used as a starting point to train models incrementally.
	// Amazon SageMaker provides metrics and logs in CloudWatch. They can be used
	// to see when managed spot training jobs are running, interrupted, resumed,
	// or completed.
	EnableManagedSpotTraining *bool `type:"boolean"`

	// Isolates the training container. No inbound or outbound network calls can
	// be made, except for calls between peers within a training cluster for distributed
	// training. If you enable network isolation for training jobs that are configured
	// to use a VPC, Amazon SageMaker downloads and uploads customer data and model
	// artifacts through the specified VPC, but the training container does not
	// have network access.
	//
	// The Semantic Segmentation built-in algorithm does not support network isolation.
	EnableNetworkIsolation *bool `type:"boolean"`

	// Algorithm-specific parameters that influence the quality of the model. You
	// set hyperparameters before you start the learning process. For a list of
	// hyperparameters for each training algorithm provided by Amazon SageMaker,
	// see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	//
	// You can specify a maximum of 100 hyperparameters. Each hyperparameter is
	// a key-value pair. Each key and value is limited to 256 characters, as specified
	// by the Length Constraint.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects. Each channel is a named input source. InputDataConfig
	// describes the input data and its location.
	//
	// Algorithms can accept input data from one or more channels. For example,
	// an algorithm might have two channels of input data, training_data and validation_data.
	// The configuration for each channel provides the S3, EFS, or FSx location
	// where the input data is stored. It also provides information about the stored
	// data: the MIME type, compression method, and whether the data is wrapped
	// in RecordIO format.
	//
	// Depending on the input mode that the algorithm supports, Amazon SageMaker
	// either copies input data files from an S3 bucket to a local directory in
	// the Docker container, or makes it available as input streams. For example,
	// if you specify an EFS location, input data files will be made available as
	// input streams. They do not need to be downloaded.
	InputDataConfig []Channel `min:"1" type:"list"`

	// Specifies the path to the S3 location where you want to store model artifacts.
	// Amazon SageMaker creates subfolders for the artifacts.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *OutputDataConfig `type:"structure" required:"true"`

	// The resources, including the ML compute instances and ML storage volumes,
	// to use for model training.
	//
	// ML storage volumes store model artifacts and incremental states. Training
	// algorithms might also use ML storage volumes for scratch space. If you want
	// Amazon SageMaker to use the ML storage volume to store the training data,
	// choose File as the TrainingInputMode in the algorithm specification. For
	// distributed training algorithms, specify an instance count greater than 1.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume
	// to perform tasks on your behalf.
	//
	// During model training, Amazon SageMaker needs your permission to read input
	// data from an S3 bucket, download a Docker image that contains training code,
	// write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs,
	// and publish metrics to Amazon CloudWatch. You grant permissions for all of
	// these tasks to an IAM role. For more information, see Amazon SageMaker Roles
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a limit to how long a model training job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the training job. Use this
	// API to cap model training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts, so the results of training are not lost.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// The name of the training job. The name must be unique within an AWS Region
	// in an AWS account.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// A VpcConfig object that specifies the VPC that you want your training job
	// to connect to. Control access to and from your training container by configuring
	// the VPC. For more information, see Protect Training Jobs by Using an Amazon
	// Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (CreateTrainingJobInput) String 

func (s CreateTrainingJobInput) String() string

String returns the string representation

func (*CreateTrainingJobInput) Validate 

func (s *CreateTrainingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateTrainingJobOutput 

type CreateTrainingJobOutput struct {

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTrainingJobOutput) String 

func (s CreateTrainingJobOutput) String() string

String returns the string representation

type CreateTrainingJobRequest 

type CreateTrainingJobRequest struct {
	*aws.Request
	Input *CreateTrainingJobInput
	Copy  func(*CreateTrainingJobInput) CreateTrainingJobRequest
}

CreateTrainingJobRequest is the request type for the CreateTrainingJob API operation.

func (CreateTrainingJobRequest) Send 

func (r CreateTrainingJobRequest) Send(ctx context.Context) (*CreateTrainingJobResponse, error)

Send marshals and sends the CreateTrainingJob API request.

type CreateTrainingJobResponse added in v0.9.0 

type CreateTrainingJobResponse struct {
	*CreateTrainingJobOutput
	// contains filtered or unexported fields
}

CreateTrainingJobResponse is the response type for the CreateTrainingJob API operation.

func (*CreateTrainingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateTrainingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateTrainingJob request.

type CreateTransformJobInput added in v0.5.0 

type CreateTransformJobInput struct {

	// Specifies the number of records to include in a mini-batch for an HTTP inference
	// request. A record is a single unit of input data that inference can be made
	// on. For example, a single line in a CSV file is a record.
	//
	// To enable the batch strategy, you must set SplitType to Line, RecordIO, or
	// TFRecord.
	//
	// To use only one record when making an HTTP invocation request to a container,
	// set BatchStrategy to SingleRecord and SplitType to Line.
	//
	// To fit as many records in a mini-batch as can fit within the MaxPayloadInMB
	// limit, set BatchStrategy to MultiRecord and SplitType to Line.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// The data structure used to specify the data to be used for inference in a
	// batch transform job and to associate the data that is relevant to the prediction
	// results in the output. The input filter provided allows you to exclude input
	// data that is not needed for inference in a batch transform job. The output
	// filter provided allows you to include input data relevant to interpreting
	// the predictions in the output from the job. For more information, see Associate
	// Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).
	DataProcessing *DataProcessing `type:"structure"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// The maximum number of parallel requests that can be sent to each instance
	// in a transform job. If MaxConcurrentTransforms is set to 0 or left unset,
	// Amazon SageMaker checks the optional execution-parameters to determine the
	// optimal settings for your chosen algorithm. If the execution-parameters endpoint
	// is not enabled, the default value is 1. For more information on execution-parameters,
	// see How Containers Serve Requests (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-batch-code.html#your-algorithms-batch-code-how-containe-serves-requests).
	// For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum allowed size of the payload, in MB. A payload is the data portion
	// of a record (without metadata). The value in MaxPayloadInMB must be greater
	// than, or equal to, the size of a single record. To estimate the size of a
	// record in MB, divide the size of your dataset by the number of records. To
	// ensure that the records fit within the maximum payload size, we recommend
	// using a slightly larger value. The default value is 6 MB.
	//
	// For cases where the payload might be arbitrarily large and is transmitted
	// using HTTP chunked encoding, set the value to 0. This feature works only
	// in supported algorithms. Currently, Amazon SageMaker built-in algorithms
	// do not support HTTP chunked encoding.
	MaxPayloadInMB *int64 `type:"integer"`

	// The name of the model that you want to use for the transform job. ModelName
	// must be the name of an existing Amazon SageMaker model within an AWS Region
	// in an AWS account.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// (Optional) An array of key-value pairs. For more information, see Using Cost
	// Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// Describes the input source and the way the transform job consumes it.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// The name of the transform job. The name must be unique within an AWS Region
	// in an AWS account.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// Describes the results of the transform job.
	//
	// TransformOutput is a required field
	TransformOutput *TransformOutput `type:"structure" required:"true"`

	// Describes the resources, including ML instance types and ML instance count,
	// to use for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTransformJobInput) String added in v0.5.0 

func (s CreateTransformJobInput) String() string

String returns the string representation

func (*CreateTransformJobInput) Validate added in v0.5.0 

func (s *CreateTransformJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateTransformJobOutput added in v0.5.0 

type CreateTransformJobOutput struct {

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateTransformJobOutput) String added in v0.5.0 

func (s CreateTransformJobOutput) String() string

String returns the string representation

type CreateTransformJobRequest added in v0.5.0 

type CreateTransformJobRequest struct {
	*aws.Request
	Input *CreateTransformJobInput
	Copy  func(*CreateTransformJobInput) CreateTransformJobRequest
}

CreateTransformJobRequest is the request type for the CreateTransformJob API operation.

func (CreateTransformJobRequest) Send added in v0.5.0 

func (r CreateTransformJobRequest) Send(ctx context.Context) (*CreateTransformJobResponse, error)

Send marshals and sends the CreateTransformJob API request.

type CreateTransformJobResponse added in v0.9.0 

type CreateTransformJobResponse struct {
	*CreateTransformJobOutput
	// contains filtered or unexported fields
}

CreateTransformJobResponse is the response type for the CreateTransformJob API operation.

func (*CreateTransformJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateTransformJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateTransformJob request.

type CreateWorkteamInput added in v0.6.0 

type CreateWorkteamInput struct {

	// A description of the work team.
	//
	// Description is a required field
	Description *string `min:"1" type:"string" required:"true"`

	// A list of MemberDefinition objects that contains objects that identify the
	// Amazon Cognito user pool that makes up the work team. For more information,
	// see Amazon Cognito User Pools (https://docs.aws.amazon.com/cognito/latest/developerguide/cognito-user-identity-pools.html).
	//
	// All of the CognitoMemberDefinition objects that make up the member definition
	// must have the same ClientId and UserPool values.
	//
	// MemberDefinitions is a required field
	MemberDefinitions []MemberDefinition `min:"1" type:"list" required:"true"`

	// Configures notification of workers regarding available or expiring work items.
	NotificationConfiguration *NotificationConfiguration `type:"structure"`

	// An array of key-value pairs.
	//
	// For more information, see Resource Tag (https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html)
	// and Using Cost Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// The name of the work team. Use this name to identify the work team.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (CreateWorkteamInput) String added in v0.6.0 

func (s CreateWorkteamInput) String() string

String returns the string representation

func (*CreateWorkteamInput) Validate added in v0.6.0 

func (s *CreateWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type CreateWorkteamOutput added in v0.6.0 

type CreateWorkteamOutput struct {

	// The Amazon Resource Name (ARN) of the work team. You can use this ARN to
	// identify the work team.
	WorkteamArn *string `type:"string"`
	// contains filtered or unexported fields
}

func (CreateWorkteamOutput) String added in v0.6.0 

func (s CreateWorkteamOutput) String() string

String returns the string representation

type CreateWorkteamRequest added in v0.6.0 

type CreateWorkteamRequest struct {
	*aws.Request
	Input *CreateWorkteamInput
	Copy  func(*CreateWorkteamInput) CreateWorkteamRequest
}

CreateWorkteamRequest is the request type for the CreateWorkteam API operation.

func (CreateWorkteamRequest) Send added in v0.6.0 

func (r CreateWorkteamRequest) Send(ctx context.Context) (*CreateWorkteamResponse, error)

Send marshals and sends the CreateWorkteam API request.

type CreateWorkteamResponse added in v0.9.0 

type CreateWorkteamResponse struct {
	*CreateWorkteamOutput
	// contains filtered or unexported fields
}

CreateWorkteamResponse is the response type for the CreateWorkteam API operation.

func (*CreateWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *CreateWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the CreateWorkteam request.

type DataProcessing added in v0.10.0 

type DataProcessing struct {

	// A JSONPath (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html#data-processing-operators)
	// expression used to select a portion of the input data to pass to the algorithm.
	// Use the InputFilter parameter to exclude fields, such as an ID column, from
	// the input. If you want Amazon SageMaker to pass the entire input dataset
	// to the algorithm, accept the default value $.
	//
	// Examples: "$", "$[1:]", "$.features"
	InputFilter *string `type:"string"`

	// Specifies the source of the data to join with the transformed data. The valid
	// values are None and Input The default value is None which specifies not to
	// join the input with the transformed data. If you want the batch transform
	// job to join the original input data with the transformed data, set JoinSource
	// to Input.
	//
	// For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds
	// the transformed data to the input JSON object in an attribute called SageMakerOutput.
	// The joined result for JSON must be a key-value pair object. If the input
	// is not a key-value pair object, Amazon SageMaker creates a new JSON file.
	// In the new JSON file, and the input data is stored under the SageMakerInput
	// key and the results are stored in SageMakerOutput.
	//
	// For CSV files, Amazon SageMaker combines the transformed data with the input
	// data at the end of the input data and stores it in the output file. The joined
	// data has the joined input data followed by the transformed data and the output
	// is a CSV file.
	JoinSource JoinSource `type:"string" enum:"true"`

	// A JSONPath (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html#data-processing-operators)
	// expression used to select a portion of the joined dataset to save in the
	// output file for a batch transform job. If you want Amazon SageMaker to store
	// the entire input dataset in the output file, leave the default value, $.
	// If you specify indexes that aren't within the dimension size of the joined
	// dataset, you get an error.
	//
	// Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
	OutputFilter *string `type:"string"`
	// contains filtered or unexported fields
}

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).

func (DataProcessing) String added in v0.10.0 

func (s DataProcessing) String() string

String returns the string representation

type DataSource 

type DataSource struct {

	// The file system that is associated with a channel.
	FileSystemDataSource *FileSystemDataSource `type:"structure"`

	// The S3 location of the data source that is associated with a channel.
	S3DataSource *S3DataSource `type:"structure"`
	// contains filtered or unexported fields
}

Describes the location of the channel data.

func (DataSource) String 

func (s DataSource) String() string

String returns the string representation

func (*DataSource) Validate 

func (s *DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteAlgorithmInput added in v0.6.0 

type DeleteAlgorithmInput struct {

	// The name of the algorithm to delete.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteAlgorithmInput) String added in v0.6.0 

func (s DeleteAlgorithmInput) String() string

String returns the string representation

func (*DeleteAlgorithmInput) Validate added in v0.6.0 

func (s *DeleteAlgorithmInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteAlgorithmOutput added in v0.6.0 

type DeleteAlgorithmOutput struct {
	// contains filtered or unexported fields
}

func (DeleteAlgorithmOutput) String added in v0.6.0 

func (s DeleteAlgorithmOutput) String() string

String returns the string representation

type DeleteAlgorithmRequest added in v0.6.0 

type DeleteAlgorithmRequest struct {
	*aws.Request
	Input *DeleteAlgorithmInput
	Copy  func(*DeleteAlgorithmInput) DeleteAlgorithmRequest
}

DeleteAlgorithmRequest is the request type for the DeleteAlgorithm API operation.

func (DeleteAlgorithmRequest) Send added in v0.6.0 

func (r DeleteAlgorithmRequest) Send(ctx context.Context) (*DeleteAlgorithmResponse, error)

Send marshals and sends the DeleteAlgorithm API request.

type DeleteAlgorithmResponse added in v0.9.0 

type DeleteAlgorithmResponse struct {
	*DeleteAlgorithmOutput
	// contains filtered or unexported fields
}

DeleteAlgorithmResponse is the response type for the DeleteAlgorithm API operation.

func (*DeleteAlgorithmResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteAlgorithmResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteAlgorithm request.

type DeleteCodeRepositoryInput added in v0.6.0 

type DeleteCodeRepositoryInput struct {

	// The name of the Git repository to delete.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteCodeRepositoryInput) String added in v0.6.0 

func (s DeleteCodeRepositoryInput) String() string

String returns the string representation

func (*DeleteCodeRepositoryInput) Validate added in v0.6.0 

func (s *DeleteCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteCodeRepositoryOutput added in v0.6.0 

type DeleteCodeRepositoryOutput struct {
	// contains filtered or unexported fields
}

func (DeleteCodeRepositoryOutput) String added in v0.6.0 

func (s DeleteCodeRepositoryOutput) String() string

String returns the string representation

type DeleteCodeRepositoryRequest added in v0.6.0 

type DeleteCodeRepositoryRequest struct {
	*aws.Request
	Input *DeleteCodeRepositoryInput
	Copy  func(*DeleteCodeRepositoryInput) DeleteCodeRepositoryRequest
}

DeleteCodeRepositoryRequest is the request type for the DeleteCodeRepository API operation.

func (DeleteCodeRepositoryRequest) Send added in v0.6.0 

func (r DeleteCodeRepositoryRequest) Send(ctx context.Context) (*DeleteCodeRepositoryResponse, error)

Send marshals and sends the DeleteCodeRepository API request.

type DeleteCodeRepositoryResponse added in v0.9.0 

type DeleteCodeRepositoryResponse struct {
	*DeleteCodeRepositoryOutput
	// contains filtered or unexported fields
}

DeleteCodeRepositoryResponse is the response type for the DeleteCodeRepository API operation.

func (*DeleteCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteCodeRepository request.

type DeleteEndpointConfigInput 

type DeleteEndpointConfigInput struct {

	// The name of the endpoint configuration that you want to delete.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteEndpointConfigInput) String 

func (s DeleteEndpointConfigInput) String() string

String returns the string representation

func (*DeleteEndpointConfigInput) Validate 

func (s *DeleteEndpointConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteEndpointConfigOutput 

type DeleteEndpointConfigOutput struct {
	// contains filtered or unexported fields
}

func (DeleteEndpointConfigOutput) String 

func (s DeleteEndpointConfigOutput) String() string

String returns the string representation

type DeleteEndpointConfigRequest 

type DeleteEndpointConfigRequest struct {
	*aws.Request
	Input *DeleteEndpointConfigInput
	Copy  func(*DeleteEndpointConfigInput) DeleteEndpointConfigRequest
}

DeleteEndpointConfigRequest is the request type for the DeleteEndpointConfig API operation.

func (DeleteEndpointConfigRequest) Send 

func (r DeleteEndpointConfigRequest) Send(ctx context.Context) (*DeleteEndpointConfigResponse, error)

Send marshals and sends the DeleteEndpointConfig API request.

type DeleteEndpointConfigResponse added in v0.9.0 

type DeleteEndpointConfigResponse struct {
	*DeleteEndpointConfigOutput
	// contains filtered or unexported fields
}

DeleteEndpointConfigResponse is the response type for the DeleteEndpointConfig API operation.

func (*DeleteEndpointConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteEndpointConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteEndpointConfig request.

type DeleteEndpointInput 

type DeleteEndpointInput struct {

	// The name of the endpoint that you want to delete.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteEndpointInput) String 

func (s DeleteEndpointInput) String() string

String returns the string representation

func (*DeleteEndpointInput) Validate 

func (s *DeleteEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteEndpointOutput 

type DeleteEndpointOutput struct {
	// contains filtered or unexported fields
}

func (DeleteEndpointOutput) String 

func (s DeleteEndpointOutput) String() string

String returns the string representation

type DeleteEndpointRequest 

type DeleteEndpointRequest struct {
	*aws.Request
	Input *DeleteEndpointInput
	Copy  func(*DeleteEndpointInput) DeleteEndpointRequest
}

DeleteEndpointRequest is the request type for the DeleteEndpoint API operation.

func (DeleteEndpointRequest) Send 

func (r DeleteEndpointRequest) Send(ctx context.Context) (*DeleteEndpointResponse, error)

Send marshals and sends the DeleteEndpoint API request.

type DeleteEndpointResponse added in v0.9.0 

type DeleteEndpointResponse struct {
	*DeleteEndpointOutput
	// contains filtered or unexported fields
}

DeleteEndpointResponse is the response type for the DeleteEndpoint API operation.

func (*DeleteEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteEndpoint request.

type DeleteModelInput 

type DeleteModelInput struct {

	// The name of the model to delete.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteModelInput) String 

func (s DeleteModelInput) String() string

String returns the string representation

func (*DeleteModelInput) Validate 

func (s *DeleteModelInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteModelOutput 

type DeleteModelOutput struct {
	// contains filtered or unexported fields
}

func (DeleteModelOutput) String 

func (s DeleteModelOutput) String() string

String returns the string representation

type DeleteModelPackageInput added in v0.6.0 

type DeleteModelPackageInput struct {

	// The name of the model package. The name must have 1 to 63 characters. Valid
	// characters are a-z, A-Z, 0-9, and - (hyphen).
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteModelPackageInput) String added in v0.6.0 

func (s DeleteModelPackageInput) String() string

String returns the string representation

func (*DeleteModelPackageInput) Validate added in v0.6.0 

func (s *DeleteModelPackageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteModelPackageOutput added in v0.6.0 

type DeleteModelPackageOutput struct {
	// contains filtered or unexported fields
}

func (DeleteModelPackageOutput) String added in v0.6.0 

func (s DeleteModelPackageOutput) String() string

String returns the string representation

type DeleteModelPackageRequest added in v0.6.0 

type DeleteModelPackageRequest struct {
	*aws.Request
	Input *DeleteModelPackageInput
	Copy  func(*DeleteModelPackageInput) DeleteModelPackageRequest
}

DeleteModelPackageRequest is the request type for the DeleteModelPackage API operation.

func (DeleteModelPackageRequest) Send added in v0.6.0 

func (r DeleteModelPackageRequest) Send(ctx context.Context) (*DeleteModelPackageResponse, error)

Send marshals and sends the DeleteModelPackage API request.

type DeleteModelPackageResponse added in v0.9.0 

type DeleteModelPackageResponse struct {
	*DeleteModelPackageOutput
	// contains filtered or unexported fields
}

DeleteModelPackageResponse is the response type for the DeleteModelPackage API operation.

func (*DeleteModelPackageResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteModelPackageResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteModelPackage request.

type DeleteModelRequest 

type DeleteModelRequest struct {
	*aws.Request
	Input *DeleteModelInput
	Copy  func(*DeleteModelInput) DeleteModelRequest
}

DeleteModelRequest is the request type for the DeleteModel API operation.

func (DeleteModelRequest) Send 

func (r DeleteModelRequest) Send(ctx context.Context) (*DeleteModelResponse, error)

Send marshals and sends the DeleteModel API request.

type DeleteModelResponse added in v0.9.0 

type DeleteModelResponse struct {
	*DeleteModelOutput
	// contains filtered or unexported fields
}

DeleteModelResponse is the response type for the DeleteModel API operation.

func (*DeleteModelResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteModelResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteModel request.

type DeleteNotebookInstanceInput 

type DeleteNotebookInstanceInput struct {

	// The name of the Amazon SageMaker notebook instance to delete.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceInput) String 

func (s DeleteNotebookInstanceInput) String() string

String returns the string representation

func (*DeleteNotebookInstanceInput) Validate 

func (s *DeleteNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteNotebookInstanceLifecycleConfigInput added in v0.4.0 

type DeleteNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration to delete.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s DeleteNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*DeleteNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *DeleteNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type DeleteNotebookInstanceLifecycleConfigOutput struct {
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s DeleteNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type DeleteNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type DeleteNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *DeleteNotebookInstanceLifecycleConfigInput
	Copy  func(*DeleteNotebookInstanceLifecycleConfigInput) DeleteNotebookInstanceLifecycleConfigRequest
}

DeleteNotebookInstanceLifecycleConfigRequest is the request type for the DeleteNotebookInstanceLifecycleConfig API operation.

func (DeleteNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r DeleteNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*DeleteNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the DeleteNotebookInstanceLifecycleConfig API request.

type DeleteNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type DeleteNotebookInstanceLifecycleConfigResponse struct {
	*DeleteNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

DeleteNotebookInstanceLifecycleConfigResponse is the response type for the DeleteNotebookInstanceLifecycleConfig API operation.

func (*DeleteNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteNotebookInstanceLifecycleConfig request.

type DeleteNotebookInstanceOutput 

type DeleteNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (DeleteNotebookInstanceOutput) String 

func (s DeleteNotebookInstanceOutput) String() string

String returns the string representation

type DeleteNotebookInstanceRequest 

type DeleteNotebookInstanceRequest struct {
	*aws.Request
	Input *DeleteNotebookInstanceInput
	Copy  func(*DeleteNotebookInstanceInput) DeleteNotebookInstanceRequest
}

DeleteNotebookInstanceRequest is the request type for the DeleteNotebookInstance API operation.

func (DeleteNotebookInstanceRequest) Send 

func (r DeleteNotebookInstanceRequest) Send(ctx context.Context) (*DeleteNotebookInstanceResponse, error)

Send marshals and sends the DeleteNotebookInstance API request.

type DeleteNotebookInstanceResponse added in v0.9.0 

type DeleteNotebookInstanceResponse struct {
	*DeleteNotebookInstanceOutput
	// contains filtered or unexported fields
}

DeleteNotebookInstanceResponse is the response type for the DeleteNotebookInstance API operation.

func (*DeleteNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteNotebookInstance request.

type DeleteTagsInput 

type DeleteTagsInput struct {

	// The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`

	// An array or one or more tag keys to delete.
	//
	// TagKeys is a required field
	TagKeys []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteTagsInput) String 

func (s DeleteTagsInput) String() string

String returns the string representation

func (*DeleteTagsInput) Validate 

func (s *DeleteTagsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteTagsOutput 

type DeleteTagsOutput struct {
	// contains filtered or unexported fields
}

func (DeleteTagsOutput) String 

func (s DeleteTagsOutput) String() string

String returns the string representation

type DeleteTagsRequest 

type DeleteTagsRequest struct {
	*aws.Request
	Input *DeleteTagsInput
	Copy  func(*DeleteTagsInput) DeleteTagsRequest
}

DeleteTagsRequest is the request type for the DeleteTags API operation.

func (DeleteTagsRequest) Send 

func (r DeleteTagsRequest) Send(ctx context.Context) (*DeleteTagsResponse, error)

Send marshals and sends the DeleteTags API request.

type DeleteTagsResponse added in v0.9.0 

type DeleteTagsResponse struct {
	*DeleteTagsOutput
	// contains filtered or unexported fields
}

DeleteTagsResponse is the response type for the DeleteTags API operation.

func (*DeleteTagsResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteTagsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteTags request.

type DeleteWorkteamInput added in v0.6.0 

type DeleteWorkteamInput struct {

	// The name of the work team to delete.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteWorkteamInput) String added in v0.6.0 

func (s DeleteWorkteamInput) String() string

String returns the string representation

func (*DeleteWorkteamInput) Validate added in v0.6.0 

func (s *DeleteWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DeleteWorkteamOutput added in v0.6.0 

type DeleteWorkteamOutput struct {

	// Returns true if the work team was successfully deleted; otherwise, returns
	// false.
	//
	// Success is a required field
	Success *bool `type:"boolean" required:"true"`
	// contains filtered or unexported fields
}

func (DeleteWorkteamOutput) String added in v0.6.0 

func (s DeleteWorkteamOutput) String() string

String returns the string representation

type DeleteWorkteamRequest added in v0.6.0 

type DeleteWorkteamRequest struct {
	*aws.Request
	Input *DeleteWorkteamInput
	Copy  func(*DeleteWorkteamInput) DeleteWorkteamRequest
}

DeleteWorkteamRequest is the request type for the DeleteWorkteam API operation.

func (DeleteWorkteamRequest) Send added in v0.6.0 

func (r DeleteWorkteamRequest) Send(ctx context.Context) (*DeleteWorkteamResponse, error)

Send marshals and sends the DeleteWorkteam API request.

type DeleteWorkteamResponse added in v0.9.0 

type DeleteWorkteamResponse struct {
	*DeleteWorkteamOutput
	// contains filtered or unexported fields
}

DeleteWorkteamResponse is the response type for the DeleteWorkteam API operation.

func (*DeleteWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *DeleteWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DeleteWorkteam request.

type DeployedImage added in v0.5.0 

type DeployedImage struct {

	// The date and time when the image path for the model resolved to the ResolvedImage
	ResolutionTime *time.Time `type:"timestamp"`

	// The specific digest path of the image hosted in this ProductionVariant.
	ResolvedImage *string `type:"string"`

	// The image path you specified when you created the model.
	SpecifiedImage *string `type:"string"`
	// contains filtered or unexported fields
}

Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.

If you used the registry/repository[:tag] form to specify the image path of the primary container when you created the model hosted in this ProductionVariant, the path resolves to a path of the form registry/repository[@digest]. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image (https://docs.aws.amazon.com/AmazonECR/latest/userguide/docker-pull-ecr-image.html) in the Amazon ECR User Guide.

func (DeployedImage) String added in v0.5.0 

func (s DeployedImage) String() string

String returns the string representation

type DescribeAlgorithmInput added in v0.6.0 

type DescribeAlgorithmInput struct {

	// The name of the algorithm to describe.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeAlgorithmInput) String added in v0.6.0 

func (s DescribeAlgorithmInput) String() string

String returns the string representation

func (*DescribeAlgorithmInput) Validate added in v0.6.0 

func (s *DescribeAlgorithmInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeAlgorithmOutput added in v0.6.0 

type DescribeAlgorithmOutput struct {

	// The Amazon Resource Name (ARN) of the algorithm.
	//
	// AlgorithmArn is a required field
	AlgorithmArn *string `min:"1" type:"string" required:"true"`

	// A brief summary about the algorithm.
	AlgorithmDescription *string `type:"string"`

	// The name of the algorithm being described.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// The current status of the algorithm.
	//
	// AlgorithmStatus is a required field
	AlgorithmStatus AlgorithmStatus `type:"string" required:"true" enum:"true"`

	// Details about the current status of the algorithm.
	//
	// AlgorithmStatusDetails is a required field
	AlgorithmStatusDetails *AlgorithmStatusDetails `type:"structure" required:"true"`

	// Whether the algorithm is certified to be listed in AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// A timestamp specifying when the algorithm was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Details about inference jobs that the algorithm runs.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// The product identifier of the algorithm.
	ProductId *string `type:"string"`

	// Details about training jobs run by this algorithm.
	//
	// TrainingSpecification is a required field
	TrainingSpecification *TrainingSpecification `type:"structure" required:"true"`

	// Details about configurations for one or more training jobs that Amazon SageMaker
	// runs to test the algorithm.
	ValidationSpecification *AlgorithmValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeAlgorithmOutput) String added in v0.6.0 

func (s DescribeAlgorithmOutput) String() string

String returns the string representation

type DescribeAlgorithmRequest added in v0.6.0 

type DescribeAlgorithmRequest struct {
	*aws.Request
	Input *DescribeAlgorithmInput
	Copy  func(*DescribeAlgorithmInput) DescribeAlgorithmRequest
}

DescribeAlgorithmRequest is the request type for the DescribeAlgorithm API operation.

func (DescribeAlgorithmRequest) Send added in v0.6.0 

func (r DescribeAlgorithmRequest) Send(ctx context.Context) (*DescribeAlgorithmResponse, error)

Send marshals and sends the DescribeAlgorithm API request.

type DescribeAlgorithmResponse added in v0.9.0 

type DescribeAlgorithmResponse struct {
	*DescribeAlgorithmOutput
	// contains filtered or unexported fields
}

DescribeAlgorithmResponse is the response type for the DescribeAlgorithm API operation.

func (*DescribeAlgorithmResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeAlgorithmResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeAlgorithm request.

type DescribeCodeRepositoryInput added in v0.6.0 

type DescribeCodeRepositoryInput struct {

	// The name of the Git repository to describe.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCodeRepositoryInput) String added in v0.6.0 

func (s DescribeCodeRepositoryInput) String() string

String returns the string representation

func (*DescribeCodeRepositoryInput) Validate added in v0.6.0 

func (s *DescribeCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeCodeRepositoryOutput added in v0.6.0 

type DescribeCodeRepositoryOutput struct {

	// The Amazon Resource Name (ARN) of the Git repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`

	// The name of the Git repository.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// The date and time that the repository was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Configuration details about the repository, including the URL where the repository
	// is located, the default branch, and the Amazon Resource Name (ARN) of the
	// AWS Secrets Manager secret that contains the credentials used to access the
	// repository.
	GitConfig *GitConfig `type:"structure"`

	// The date and time that the repository was last changed.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCodeRepositoryOutput) String added in v0.6.0 

func (s DescribeCodeRepositoryOutput) String() string

String returns the string representation

type DescribeCodeRepositoryRequest added in v0.6.0 

type DescribeCodeRepositoryRequest struct {
	*aws.Request
	Input *DescribeCodeRepositoryInput
	Copy  func(*DescribeCodeRepositoryInput) DescribeCodeRepositoryRequest
}

DescribeCodeRepositoryRequest is the request type for the DescribeCodeRepository API operation.

func (DescribeCodeRepositoryRequest) Send added in v0.6.0 

func (r DescribeCodeRepositoryRequest) Send(ctx context.Context) (*DescribeCodeRepositoryResponse, error)

Send marshals and sends the DescribeCodeRepository API request.

type DescribeCodeRepositoryResponse added in v0.9.0 

type DescribeCodeRepositoryResponse struct {
	*DescribeCodeRepositoryOutput
	// contains filtered or unexported fields
}

DescribeCodeRepositoryResponse is the response type for the DescribeCodeRepository API operation.

func (*DescribeCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeCodeRepository request.

type DescribeCompilationJobInput added in v0.6.0 

type DescribeCompilationJobInput struct {

	// The name of the model compilation job that you want information about.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCompilationJobInput) String added in v0.6.0 

func (s DescribeCompilationJobInput) String() string

String returns the string representation

func (*DescribeCompilationJobInput) Validate added in v0.6.0 

func (s *DescribeCompilationJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeCompilationJobOutput added in v0.6.0 

type DescribeCompilationJobOutput struct {

	// The time when the model compilation job on a compilation job instance ended.
	// For a successful or stopped job, this is when the job's model artifacts have
	// finished uploading. For a failed job, this is when Amazon SageMaker detected
	// that the job failed.
	CompilationEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes
	// to perform the model compilation job.
	//
	// CompilationJobArn is a required field
	CompilationJobArn *string `type:"string" required:"true"`

	// The name of the model compilation job.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`

	// The status of the model compilation job.
	//
	// CompilationJobStatus is a required field
	CompilationJobStatus CompilationJobStatus `type:"string" required:"true" enum:"true"`

	// The time when the model compilation job started the CompilationJob instances.
	//
	// You are billed for the time between this timestamp and the timestamp in the
	// DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch
	// Logs, the start time might be later than this time. That's because it takes
	// time to download the compilation job, which depends on the size of the compilation
	// job container.
	CompilationStartTime *time.Time `type:"timestamp"`

	// The time that the model compilation job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If a model compilation job failed, the reason it failed.
	//
	// FailureReason is a required field
	FailureReason *string `type:"string" required:"true"`

	// Information about the location in Amazon S3 of the input model artifacts,
	// the name and shape of the expected data inputs, and the framework in which
	// the model was trained.
	//
	// InputConfig is a required field
	InputConfig *InputConfig `type:"structure" required:"true"`

	// The time that the status of the model compilation job was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// Information about the location in Amazon S3 that has been configured for
	// storing the model artifacts used in the compilation job.
	//
	// ModelArtifacts is a required field
	ModelArtifacts *ModelArtifacts `type:"structure" required:"true"`

	// Information about the output location for the compiled model and the target
	// device that the model runs on.
	//
	// OutputConfig is a required field
	OutputConfig *OutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the model compilation job.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies a limit to how long a model compilation job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the compilation job. Use this
	// API to cap model training costs.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeCompilationJobOutput) String added in v0.6.0 

func (s DescribeCompilationJobOutput) String() string

String returns the string representation

type DescribeCompilationJobRequest added in v0.6.0 

type DescribeCompilationJobRequest struct {
	*aws.Request
	Input *DescribeCompilationJobInput
	Copy  func(*DescribeCompilationJobInput) DescribeCompilationJobRequest
}

DescribeCompilationJobRequest is the request type for the DescribeCompilationJob API operation.

func (DescribeCompilationJobRequest) Send added in v0.6.0 

func (r DescribeCompilationJobRequest) Send(ctx context.Context) (*DescribeCompilationJobResponse, error)

Send marshals and sends the DescribeCompilationJob API request.

type DescribeCompilationJobResponse added in v0.9.0 

type DescribeCompilationJobResponse struct {
	*DescribeCompilationJobOutput
	// contains filtered or unexported fields
}

DescribeCompilationJobResponse is the response type for the DescribeCompilationJob API operation.

func (*DescribeCompilationJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeCompilationJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeCompilationJob request.

type DescribeEndpointConfigInput 

type DescribeEndpointConfigInput struct {

	// The name of the endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeEndpointConfigInput) String 

func (s DescribeEndpointConfigInput) String() string

String returns the string representation

func (*DescribeEndpointConfigInput) Validate 

func (s *DescribeEndpointConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeEndpointConfigOutput 

type DescribeEndpointConfigOutput struct {

	// A timestamp that shows when the endpoint configuration was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the endpoint configuration.
	//
	// EndpointConfigArn is a required field
	EndpointConfigArn *string `min:"20" type:"string" required:"true"`

	// Name of the Amazon SageMaker endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the
	// ML storage volume attached to the instance.
	KmsKeyId *string `type:"string"`

	// An array of ProductionVariant objects, one for each model that you want to
	// host at this endpoint.
	//
	// ProductionVariants is a required field
	ProductionVariants []ProductionVariant `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeEndpointConfigOutput) String 

func (s DescribeEndpointConfigOutput) String() string

String returns the string representation

type DescribeEndpointConfigRequest 

type DescribeEndpointConfigRequest struct {
	*aws.Request
	Input *DescribeEndpointConfigInput
	Copy  func(*DescribeEndpointConfigInput) DescribeEndpointConfigRequest
}

DescribeEndpointConfigRequest is the request type for the DescribeEndpointConfig API operation.

func (DescribeEndpointConfigRequest) Send 

func (r DescribeEndpointConfigRequest) Send(ctx context.Context) (*DescribeEndpointConfigResponse, error)

Send marshals and sends the DescribeEndpointConfig API request.

type DescribeEndpointConfigResponse added in v0.9.0 

type DescribeEndpointConfigResponse struct {
	*DescribeEndpointConfigOutput
	// contains filtered or unexported fields
}

DescribeEndpointConfigResponse is the response type for the DescribeEndpointConfig API operation.

func (*DescribeEndpointConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeEndpointConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeEndpointConfig request.

type DescribeEndpointInput 

type DescribeEndpointInput struct {

	// The name of the endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeEndpointInput) String 

func (s DescribeEndpointInput) String() string

String returns the string representation

func (*DescribeEndpointInput) Validate 

func (s *DescribeEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeEndpointOutput 

type DescribeEndpointOutput struct {

	// A timestamp that shows when the endpoint was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`

	// The name of the endpoint configuration associated with this endpoint.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// Name of the endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// The status of the endpoint.
	//
	//    * OutOfService: Endpoint is not available to take incoming requests.
	//
	//    * Creating: CreateEndpoint is executing.
	//
	//    * Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
	//
	//    * SystemUpdating: Endpoint is undergoing maintenance and cannot be updated
	//    or deleted or re-scaled until it has completed. This maintenance operation
	//    does not change any customer-specified values such as VPC config, KMS
	//    encryption, model, instance type, or instance count.
	//
	//    * RollingBack: Endpoint fails to scale up or down or change its variant
	//    weight and is in the process of rolling back to its previous configuration.
	//    Once the rollback completes, endpoint returns to an InService status.
	//    This transitional status only applies to an endpoint that has autoscaling
	//    enabled and is undergoing variant weight or capacity changes as part of
	//    an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities
	//    operation is called explicitly.
	//
	//    * InService: Endpoint is available to process incoming requests.
	//
	//    * Deleting: DeleteEndpoint is executing.
	//
	//    * Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason
	//    for information about the failure. DeleteEndpoint is the only operation
	//    that can be performed on a failed endpoint.
	//
	// EndpointStatus is a required field
	EndpointStatus EndpointStatus `type:"string" required:"true" enum:"true"`

	// If the status of the endpoint is Failed, the reason why it failed.
	FailureReason *string `type:"string"`

	// A timestamp that shows when the endpoint was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// An array of ProductionVariantSummary objects, one for each model hosted behind
	// this endpoint.
	ProductionVariants []ProductionVariantSummary `min:"1" type:"list"`
	// contains filtered or unexported fields
}

func (DescribeEndpointOutput) String 

func (s DescribeEndpointOutput) String() string

String returns the string representation

type DescribeEndpointRequest 

type DescribeEndpointRequest struct {
	*aws.Request
	Input *DescribeEndpointInput
	Copy  func(*DescribeEndpointInput) DescribeEndpointRequest
}

DescribeEndpointRequest is the request type for the DescribeEndpoint API operation.

func (DescribeEndpointRequest) Send 

func (r DescribeEndpointRequest) Send(ctx context.Context) (*DescribeEndpointResponse, error)

Send marshals and sends the DescribeEndpoint API request.

type DescribeEndpointResponse added in v0.9.0 

type DescribeEndpointResponse struct {
	*DescribeEndpointOutput
	// contains filtered or unexported fields
}

DescribeEndpointResponse is the response type for the DescribeEndpoint API operation.

func (*DescribeEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeEndpoint request.

type DescribeHyperParameterTuningJobInput added in v0.5.0 

type DescribeHyperParameterTuningJobInput struct {

	// The name of the tuning job to describe.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeHyperParameterTuningJobInput) String added in v0.5.0 

func (s DescribeHyperParameterTuningJobInput) String() string

String returns the string representation

func (*DescribeHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *DescribeHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeHyperParameterTuningJobOutput added in v0.5.0 

type DescribeHyperParameterTuningJobOutput struct {

	// A TrainingJobSummary object that describes the training job that completed
	// with the best current HyperParameterTuningJobObjective.
	BestTrainingJob *HyperParameterTrainingJobSummary `type:"structure"`

	// The date and time that the tuning job started.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the tuning job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// The date and time that the tuning job ended.
	HyperParameterTuningEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the tuning job.
	//
	// HyperParameterTuningJobArn is a required field
	HyperParameterTuningJobArn *string `type:"string" required:"true"`

	// The HyperParameterTuningJobConfig object that specifies the configuration
	// of the tuning job.
	//
	// HyperParameterTuningJobConfig is a required field
	HyperParameterTuningJobConfig *HyperParameterTuningJobConfig `type:"structure" required:"true"`

	// The name of the tuning job.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// The status of the tuning job: InProgress, Completed, Failed, Stopping, or
	// Stopped.
	//
	// HyperParameterTuningJobStatus is a required field
	HyperParameterTuningJobStatus HyperParameterTuningJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the status of the tuning job was modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ObjectiveStatusCounters object that specifies the number of training
	// jobs, categorized by the status of their final objective metric, that this
	// tuning job launched.
	//
	// ObjectiveStatusCounters is a required field
	ObjectiveStatusCounters *ObjectiveStatusCounters `type:"structure" required:"true"`

	// If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
	// of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training
	// job with the best objective metric value of all training jobs launched by
	// this tuning job and all parent jobs specified for the warm start tuning job.
	OverallBestTrainingJob *HyperParameterTrainingJobSummary `type:"structure"`

	// The HyperParameterTrainingJobDefinition object that specifies the definition
	// of the training jobs that this tuning job launches.
	TrainingJobDefinition *HyperParameterTrainingJobDefinition `type:"structure"`

	// The TrainingJobStatusCounters object that specifies the number of training
	// jobs, categorized by status, that this tuning job launched.
	//
	// TrainingJobStatusCounters is a required field
	TrainingJobStatusCounters *TrainingJobStatusCounters `type:"structure" required:"true"`

	// The configuration for starting the hyperparameter parameter tuning job using
	// one or more previous tuning jobs as a starting point. The results of previous
	// tuning jobs are used to inform which combinations of hyperparameters to search
	// over in the new tuning job.
	WarmStartConfig *HyperParameterTuningJobWarmStartConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeHyperParameterTuningJobOutput) String added in v0.5.0 

func (s DescribeHyperParameterTuningJobOutput) String() string

String returns the string representation

type DescribeHyperParameterTuningJobRequest added in v0.5.0 

type DescribeHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *DescribeHyperParameterTuningJobInput
	Copy  func(*DescribeHyperParameterTuningJobInput) DescribeHyperParameterTuningJobRequest
}

DescribeHyperParameterTuningJobRequest is the request type for the DescribeHyperParameterTuningJob API operation.

func (DescribeHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r DescribeHyperParameterTuningJobRequest) Send(ctx context.Context) (*DescribeHyperParameterTuningJobResponse, error)

Send marshals and sends the DescribeHyperParameterTuningJob API request.

type DescribeHyperParameterTuningJobResponse added in v0.9.0 

type DescribeHyperParameterTuningJobResponse struct {
	*DescribeHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

DescribeHyperParameterTuningJobResponse is the response type for the DescribeHyperParameterTuningJob API operation.

func (*DescribeHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeHyperParameterTuningJob request.

type DescribeLabelingJobInput added in v0.6.0 

type DescribeLabelingJobInput struct {

	// The name of the labeling job to return information for.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeLabelingJobInput) String added in v0.6.0 

func (s DescribeLabelingJobInput) String() string

String returns the string representation

func (*DescribeLabelingJobInput) Validate added in v0.6.0 

func (s *DescribeLabelingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeLabelingJobOutput added in v0.6.0 

type DescribeLabelingJobOutput struct {

	// The date and time that the labeling job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the job failed, the reason that it failed.
	FailureReason *string `type:"string"`

	// Configuration information required for human workers to complete a labeling
	// task.
	//
	// HumanTaskConfig is a required field
	HumanTaskConfig *HumanTaskConfig `type:"structure" required:"true"`

	// Input configuration information for the labeling job, such as the Amazon
	// S3 location of the data objects and the location of the manifest file that
	// describes the data objects.
	//
	// InputConfig is a required field
	InputConfig *LabelingJobInputConfig `type:"structure" required:"true"`

	// A unique identifier for work done as part of a labeling job.
	//
	// JobReferenceCode is a required field
	JobReferenceCode *string `min:"1" type:"string" required:"true"`

	// The attribute used as the label in the output manifest file.
	LabelAttributeName *string `min:"1" type:"string"`

	// The S3 location of the JSON file that defines the categories used to label
	// data objects.
	//
	// The file is a JSON structure in the following format:
	//
	// {
	//
	// "document-version": "2018-11-28"
	//
	// "labels": [
	//
	// {
	//
	// "label": "label 1"
	//
	// },
	//
	// {
	//
	// "label": "label 2"
	//
	// },
	//
	// ...
	//
	// {
	//
	// "label": "label n"
	//
	// }
	//
	// ]
	//
	// }
	LabelCategoryConfigS3Uri *string `type:"string"`

	// Provides a breakdown of the number of data objects labeled by humans, the
	// number of objects labeled by machine, the number of objects than couldn't
	// be labeled, and the total number of objects labeled.
	//
	// LabelCounters is a required field
	LabelCounters *LabelCounters `type:"structure" required:"true"`

	// Configuration information for automated data labeling.
	LabelingJobAlgorithmsConfig *LabelingJobAlgorithmsConfig `type:"structure"`

	// The Amazon Resource Name (ARN) of the labeling job.
	//
	// LabelingJobArn is a required field
	LabelingJobArn *string `type:"string" required:"true"`

	// The name assigned to the labeling job when it was created.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`

	// The location of the output produced by the labeling job.
	LabelingJobOutput *LabelingJobOutput `type:"structure"`

	// The processing status of the labeling job.
	//
	// LabelingJobStatus is a required field
	LabelingJobStatus LabelingJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the labeling job was last updated.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The location of the job's output data and the AWS Key Management Service
	// key ID for the key used to encrypt the output data, if any.
	//
	// OutputConfig is a required field
	OutputConfig *LabelingJobOutputConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks
	// on your behalf during data labeling.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// A set of conditions for stopping a labeling job. If any of the conditions
	// are met, the job is automatically stopped.
	StoppingConditions *LabelingJobStoppingConditions `type:"structure"`

	// An array of key/value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (DescribeLabelingJobOutput) String added in v0.6.0 

func (s DescribeLabelingJobOutput) String() string

String returns the string representation

type DescribeLabelingJobRequest added in v0.6.0 

type DescribeLabelingJobRequest struct {
	*aws.Request
	Input *DescribeLabelingJobInput
	Copy  func(*DescribeLabelingJobInput) DescribeLabelingJobRequest
}

DescribeLabelingJobRequest is the request type for the DescribeLabelingJob API operation.

func (DescribeLabelingJobRequest) Send added in v0.6.0 

func (r DescribeLabelingJobRequest) Send(ctx context.Context) (*DescribeLabelingJobResponse, error)

Send marshals and sends the DescribeLabelingJob API request.

type DescribeLabelingJobResponse added in v0.9.0 

type DescribeLabelingJobResponse struct {
	*DescribeLabelingJobOutput
	// contains filtered or unexported fields
}

DescribeLabelingJobResponse is the response type for the DescribeLabelingJob API operation.

func (*DescribeLabelingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeLabelingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeLabelingJob request.

type DescribeModelInput 

type DescribeModelInput struct {

	// The name of the model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeModelInput) String 

func (s DescribeModelInput) String() string

String returns the string representation

func (*DescribeModelInput) Validate 

func (s *DescribeModelInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeModelOutput 

type DescribeModelOutput struct {

	// The containers in the inference pipeline.
	Containers []ContainerDefinition `type:"list"`

	// A timestamp that shows when the model was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If True, no inbound or outbound network calls can be made to or from the
	// model container.
	//
	// The Semantic Segmentation built-in algorithm does not support network isolation.
	EnableNetworkIsolation *bool `type:"boolean"`

	// The Amazon Resource Name (ARN) of the IAM role that you specified for the
	// model.
	//
	// ExecutionRoleArn is a required field
	ExecutionRoleArn *string `min:"20" type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the model.
	//
	// ModelArn is a required field
	ModelArn *string `min:"20" type:"string" required:"true"`

	// Name of the Amazon SageMaker model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// The location of the primary inference code, associated artifacts, and custom
	// environment map that the inference code uses when it is deployed in production.
	PrimaryContainer *ContainerDefinition `type:"structure"`

	// A VpcConfig object that specifies the VPC that this model has access to.
	// For more information, see Protect Endpoints by Using an Amazon Virtual Private
	// Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html)
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeModelOutput) String 

func (s DescribeModelOutput) String() string

String returns the string representation

type DescribeModelPackageInput added in v0.6.0 

type DescribeModelPackageInput struct {

	// The name of the model package to describe.
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeModelPackageInput) String added in v0.6.0 

func (s DescribeModelPackageInput) String() string

String returns the string representation

func (*DescribeModelPackageInput) Validate added in v0.6.0 

func (s *DescribeModelPackageInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeModelPackageOutput added in v0.6.0 

type DescribeModelPackageOutput struct {

	// Whether the model package is certified for listing on AWS Marketplace.
	CertifyForMarketplace *bool `type:"boolean"`

	// A timestamp specifying when the model package was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Details about inference jobs that can be run with models based on this model
	// package.
	InferenceSpecification *InferenceSpecification `type:"structure"`

	// The Amazon Resource Name (ARN) of the model package.
	//
	// ModelPackageArn is a required field
	ModelPackageArn *string `min:"1" type:"string" required:"true"`

	// A brief summary of the model package.
	ModelPackageDescription *string `type:"string"`

	// The name of the model package being described.
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`

	// The current status of the model package.
	//
	// ModelPackageStatus is a required field
	ModelPackageStatus ModelPackageStatus `type:"string" required:"true" enum:"true"`

	// Details about the current status of the model package.
	//
	// ModelPackageStatusDetails is a required field
	ModelPackageStatusDetails *ModelPackageStatusDetails `type:"structure" required:"true"`

	// Details about the algorithm that was used to create the model package.
	SourceAlgorithmSpecification *SourceAlgorithmSpecification `type:"structure"`

	// Configurations for one or more transform jobs that Amazon SageMaker runs
	// to test the model package.
	ValidationSpecification *ModelPackageValidationSpecification `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeModelPackageOutput) String added in v0.6.0 

func (s DescribeModelPackageOutput) String() string

String returns the string representation

type DescribeModelPackageRequest added in v0.6.0 

type DescribeModelPackageRequest struct {
	*aws.Request
	Input *DescribeModelPackageInput
	Copy  func(*DescribeModelPackageInput) DescribeModelPackageRequest
}

DescribeModelPackageRequest is the request type for the DescribeModelPackage API operation.

func (DescribeModelPackageRequest) Send added in v0.6.0 

func (r DescribeModelPackageRequest) Send(ctx context.Context) (*DescribeModelPackageResponse, error)

Send marshals and sends the DescribeModelPackage API request.

type DescribeModelPackageResponse added in v0.9.0 

type DescribeModelPackageResponse struct {
	*DescribeModelPackageOutput
	// contains filtered or unexported fields
}

DescribeModelPackageResponse is the response type for the DescribeModelPackage API operation.

func (*DescribeModelPackageResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeModelPackageResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeModelPackage request.

type DescribeModelRequest 

type DescribeModelRequest struct {
	*aws.Request
	Input *DescribeModelInput
	Copy  func(*DescribeModelInput) DescribeModelRequest
}

DescribeModelRequest is the request type for the DescribeModel API operation.

func (DescribeModelRequest) Send 

func (r DescribeModelRequest) Send(ctx context.Context) (*DescribeModelResponse, error)

Send marshals and sends the DescribeModel API request.

type DescribeModelResponse added in v0.9.0 

type DescribeModelResponse struct {
	*DescribeModelOutput
	// contains filtered or unexported fields
}

DescribeModelResponse is the response type for the DescribeModel API operation.

func (*DescribeModelResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeModelResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeModel request.

type DescribeNotebookInstanceInput 

type DescribeNotebookInstanceInput struct {

	// The name of the notebook instance that you want information about.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceInput) String 

func (s DescribeNotebookInstanceInput) String() string

String returns the string representation

func (*DescribeNotebookInstanceInput) Validate 

func (s *DescribeNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeNotebookInstanceLifecycleConfigInput added in v0.4.0 

type DescribeNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration to describe.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s DescribeNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*DescribeNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *DescribeNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type DescribeNotebookInstanceLifecycleConfigOutput struct {

	// A timestamp that tells when the lifecycle configuration was created.
	CreationTime *time.Time `type:"timestamp"`

	// A timestamp that tells when the lifecycle configuration was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the lifecycle configuration.
	NotebookInstanceLifecycleConfigArn *string `type:"string"`

	// The name of the lifecycle configuration.
	NotebookInstanceLifecycleConfigName *string `type:"string"`

	// The shell script that runs only once, when you create a notebook instance.
	OnCreate []NotebookInstanceLifecycleHook `type:"list"`

	// The shell script that runs every time you start a notebook instance, including
	// when you create the notebook instance.
	OnStart []NotebookInstanceLifecycleHook `type:"list"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s DescribeNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type DescribeNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type DescribeNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *DescribeNotebookInstanceLifecycleConfigInput
	Copy  func(*DescribeNotebookInstanceLifecycleConfigInput) DescribeNotebookInstanceLifecycleConfigRequest
}

DescribeNotebookInstanceLifecycleConfigRequest is the request type for the DescribeNotebookInstanceLifecycleConfig API operation.

func (DescribeNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r DescribeNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*DescribeNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the DescribeNotebookInstanceLifecycleConfig API request.

type DescribeNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type DescribeNotebookInstanceLifecycleConfigResponse struct {
	*DescribeNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

DescribeNotebookInstanceLifecycleConfigResponse is the response type for the DescribeNotebookInstanceLifecycleConfig API operation.

func (*DescribeNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeNotebookInstanceLifecycleConfig request.

type DescribeNotebookInstanceOutput 

type DescribeNotebookInstanceOutput struct {

	// A list of the Elastic Inference (EI) instance types associated with this
	// notebook instance. Currently only one EI instance type can be associated
	// with a notebook instance. For more information, see Using Elastic Inference
	// in Amazon SageMaker (sagemaker/latest/dg/ei.html).
	AcceleratorTypes []NotebookInstanceAcceleratorType `type:"list"`

	// An array of up to three Git repositories associated with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// A timestamp. Use this parameter to return the time when the notebook instance
	// was created
	CreationTime *time.Time `type:"timestamp"`

	// The Git repository associated with the notebook instance as its default code
	// repository. This can be either the name of a Git repository stored as a resource
	// in your account, or the URL of a Git repository in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// Describes whether Amazon SageMaker provides internet access to the notebook
	// instance. If this value is set to Disabled, the notebook instance does not
	// have internet access, and cannot connect to Amazon SageMaker training and
	// endpoint services.
	//
	// For more information, see Notebook Instances Are Internet-Enabled by Default
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/appendix-additional-considerations.html#appendix-notebook-and-internet-access).
	DirectInternetAccess DirectInternetAccess `type:"string" enum:"true"`

	// If status is Failed, the reason it failed.
	FailureReason *string `type:"string"`

	// The type of ML compute instance running on the notebook instance.
	InstanceType InstanceType `type:"string" enum:"true"`

	// The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it
	// on the ML storage volume attached to the instance.
	KmsKeyId *string `type:"string"`

	// A timestamp. Use this parameter to retrieve the time when the notebook instance
	// was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The network interface IDs that Amazon SageMaker created at the time of creating
	// the instance.
	NetworkInterfaceId *string `type:"string"`

	// The Amazon Resource Name (ARN) of the notebook instance.
	NotebookInstanceArn *string `type:"string"`

	// Returns the name of a notebook instance lifecycle configuration.
	//
	// For information about notebook instance lifestyle configurations, see Step
	// 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html)
	NotebookInstanceLifecycleConfigName *string `type:"string"`

	// The name of the Amazon SageMaker notebook instance.
	NotebookInstanceName *string `type:"string"`

	// The status of the notebook instance.
	NotebookInstanceStatus NotebookInstanceStatus `type:"string" enum:"true"`

	// The Amazon Resource Name (ARN) of the IAM role associated with the instance.
	RoleArn *string `min:"20" type:"string"`

	// Whether root access is enabled or disabled for users of the notebook instance.
	//
	// Lifecycle configurations need root access to be able to set up a notebook
	// instance. Because of this, lifecycle configurations associated with a notebook
	// instance always run with root access even if you disable root access for
	// users.
	RootAccess RootAccess `type:"string" enum:"true"`

	// The IDs of the VPC security groups.
	SecurityGroups []string `type:"list"`

	// The ID of the VPC subnet.
	SubnetId *string `type:"string"`

	// The URL that you use to connect to the Jupyter notebook that is running in
	// your notebook instance.
	Url *string `type:"string"`

	// The size, in GB, of the ML storage volume attached to the notebook instance.
	VolumeSizeInGB *int64 `min:"5" type:"integer"`
	// contains filtered or unexported fields
}

func (DescribeNotebookInstanceOutput) String 

func (s DescribeNotebookInstanceOutput) String() string

String returns the string representation

type DescribeNotebookInstanceRequest 

type DescribeNotebookInstanceRequest struct {
	*aws.Request
	Input *DescribeNotebookInstanceInput
	Copy  func(*DescribeNotebookInstanceInput) DescribeNotebookInstanceRequest
}

DescribeNotebookInstanceRequest is the request type for the DescribeNotebookInstance API operation.

func (DescribeNotebookInstanceRequest) Send 

func (r DescribeNotebookInstanceRequest) Send(ctx context.Context) (*DescribeNotebookInstanceResponse, error)

Send marshals and sends the DescribeNotebookInstance API request.

type DescribeNotebookInstanceResponse added in v0.9.0 

type DescribeNotebookInstanceResponse struct {
	*DescribeNotebookInstanceOutput
	// contains filtered or unexported fields
}

DescribeNotebookInstanceResponse is the response type for the DescribeNotebookInstance API operation.

func (*DescribeNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeNotebookInstance request.

type DescribeSubscribedWorkteamInput added in v0.6.0 

type DescribeSubscribedWorkteamInput struct {

	// The Amazon Resource Name (ARN) of the subscribed work team to describe.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeSubscribedWorkteamInput) String added in v0.6.0 

func (s DescribeSubscribedWorkteamInput) String() string

String returns the string representation

func (*DescribeSubscribedWorkteamInput) Validate added in v0.6.0 

func (s *DescribeSubscribedWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeSubscribedWorkteamOutput added in v0.6.0 

type DescribeSubscribedWorkteamOutput struct {

	// A Workteam instance that contains information about the work team.
	//
	// SubscribedWorkteam is a required field
	SubscribedWorkteam *SubscribedWorkteam `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeSubscribedWorkteamOutput) String added in v0.6.0 

func (s DescribeSubscribedWorkteamOutput) String() string

String returns the string representation

type DescribeSubscribedWorkteamRequest added in v0.6.0 

type DescribeSubscribedWorkteamRequest struct {
	*aws.Request
	Input *DescribeSubscribedWorkteamInput
	Copy  func(*DescribeSubscribedWorkteamInput) DescribeSubscribedWorkteamRequest
}

DescribeSubscribedWorkteamRequest is the request type for the DescribeSubscribedWorkteam API operation.

func (DescribeSubscribedWorkteamRequest) Send added in v0.6.0 

func (r DescribeSubscribedWorkteamRequest) Send(ctx context.Context) (*DescribeSubscribedWorkteamResponse, error)

Send marshals and sends the DescribeSubscribedWorkteam API request.

type DescribeSubscribedWorkteamResponse added in v0.9.0 

type DescribeSubscribedWorkteamResponse struct {
	*DescribeSubscribedWorkteamOutput
	// contains filtered or unexported fields
}

DescribeSubscribedWorkteamResponse is the response type for the DescribeSubscribedWorkteam API operation.

func (*DescribeSubscribedWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeSubscribedWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeSubscribedWorkteam request.

type DescribeTrainingJobInput 

type DescribeTrainingJobInput struct {

	// The name of the training job.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeTrainingJobInput) String 

func (s DescribeTrainingJobInput) String() string

String returns the string representation

func (*DescribeTrainingJobInput) Validate 

func (s *DescribeTrainingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeTrainingJobOutput 

type DescribeTrainingJobOutput struct {

	// Information about the algorithm used for training, and algorithm metadata.
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *AlgorithmSpecification `type:"structure" required:"true"`

	// The billable time in seconds.
	//
	// You can calculate the savings from using managed spot training using the
	// formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100. For example,
	// if BillableTimeInSeconds is 100 and TrainingTimeInSeconds is 500, the savings
	// is 80%.
	BillableTimeInSeconds *int64 `min:"1" type:"integer"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// A timestamp that indicates when the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithms in distributed training.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// A Boolean indicating whether managed spot training is enabled (True) or not
	// (False).
	EnableManagedSpotTraining *bool `type:"boolean"`

	// If you want to allow inbound or outbound network calls, except for calls
	// between peers within a training cluster for distributed training, choose
	// True. If you enable network isolation for training jobs that are configured
	// to use a VPC, Amazon SageMaker downloads and uploads customer data and model
	// artifacts through the specified VPC, but the training container does not
	// have network access.
	//
	// The Semantic Segmentation built-in algorithm does not support network isolation.
	EnableNetworkIsolation *bool `type:"boolean"`

	// If the training job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// A collection of MetricData objects that specify the names, values, and dates
	// and times that the training algorithm emitted to Amazon CloudWatch.
	FinalMetricDataList []MetricData `type:"list"`

	// Algorithm-specific parameters.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects that describes each data input channel.
	InputDataConfig []Channel `min:"1" type:"list"`

	// The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling
	// job that created the transform or training job.
	LabelingJobArn *string `type:"string"`

	// A timestamp that indicates when the status of the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// Information about the Amazon S3 location that is configured for storing model
	// artifacts.
	//
	// ModelArtifacts is a required field
	ModelArtifacts *ModelArtifacts `type:"structure" required:"true"`

	// The S3 path where model artifacts that you configured when creating the job
	// are stored. Amazon SageMaker creates subfolders for model artifacts.
	OutputDataConfig *OutputDataConfig `type:"structure"`

	// Resources, including ML compute instances and ML storage volumes, that are
	// configured for model training.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// The AWS Identity and Access Management (IAM) role configured for the training
	// job.
	RoleArn *string `min:"20" type:"string"`

	// Provides detailed information about the state of the training job. For detailed
	// information on the secondary status of the training job, see StatusMessage
	// under SecondaryStatusTransition.
	//
	// Amazon SageMaker provides primary statuses and secondary statuses that apply
	// to each of them:
	//
	// InProgress
	//
	//    * Starting - Starting the training job.
	//
	//    * Downloading - An optional stage for algorithms that support File training
	//    input mode. It indicates that data is being downloaded to the ML storage
	//    volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Interrupted - The job stopped because the managed spot training instances
	//    were interrupted.
	//
	//    * Uploading - Training is complete and the model artifacts are being uploaded
	//    to the S3 location.
	//
	// Completed
	//
	//    * Completed - The training job has completed.
	//
	// Failed
	//
	//    * Failed - The training job has failed. The reason for the failure is
	//    returned in the FailureReason field of DescribeTrainingJobResponse.
	//
	// Stopped
	//
	//    * MaxRuntimeExceeded - The job stopped because it exceeded the maximum
	//    allowed runtime.
	//
	//    * MaxWaitTmeExceeded - The job stopped because it exceeded the maximum
	//    allowed wait time.
	//
	//    * Stopped - The training job has stopped.
	//
	// Stopping
	//
	//    * Stopping - Stopping the training job.
	//
	// Valid values for SecondaryStatus are subject to change.
	//
	// We no longer support the following secondary statuses:
	//
	//    * LaunchingMLInstances
	//
	//    * PreparingTrainingStack
	//
	//    * DownloadingTrainingImage
	//
	// SecondaryStatus is a required field
	SecondaryStatus SecondaryStatus `type:"string" required:"true" enum:"true"`

	// A history of all of the secondary statuses that the training job has transitioned
	// through.
	SecondaryStatusTransitions []SecondaryStatusTransition `type:"list"`

	// Specifies a limit to how long a model training job can run. It also specifies
	// the maximum time to wait for a spot instance. When the job reaches the time
	// limit, Amazon SageMaker ends the training job. Use this API to cap model
	// training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts, so the results of training are not lost.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// Indicates the time when the training job ends on training instances. You
	// are billed for the time interval between the value of TrainingStartTime and
	// this time. For successful jobs and stopped jobs, this is the time after model
	// artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker
	// detects a job failure.
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`

	// Name of the model training job.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the training job.
	//
	// Amazon SageMaker provides the following training job statuses:
	//
	//    * InProgress - The training is in progress.
	//
	//    * Completed - The training job has completed.
	//
	//    * Failed - The training job has failed. To see the reason for the failure,
	//    see the FailureReason field in the response to a DescribeTrainingJobResponse
	//    call.
	//
	//    * Stopping - The training job is stopping.
	//
	//    * Stopped - The training job has stopped.
	//
	// For more detailed information, see SecondaryStatus.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus TrainingJobStatus `type:"string" required:"true" enum:"true"`

	// Indicates the time when the training job starts on training instances. You
	// are billed for the time interval between this time and the value of TrainingEndTime.
	// The start time in CloudWatch Logs might be later than this time. The difference
	// is due to the time it takes to download the training data and to the size
	// of the training container.
	TrainingStartTime *time.Time `type:"timestamp"`

	// The training time in seconds.
	TrainingTimeInSeconds *int64 `min:"1" type:"integer"`

	// The Amazon Resource Name (ARN) of the associated hyperparameter tuning job
	// if the training job was launched by a hyperparameter tuning job.
	TuningJobArn *string `type:"string"`

	// A VpcConfig object that specifies the VPC that this training job has access
	// to. For more information, see Protect Training Jobs by Using an Amazon Virtual
	// Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

func (DescribeTrainingJobOutput) String 

func (s DescribeTrainingJobOutput) String() string

String returns the string representation

type DescribeTrainingJobRequest 

type DescribeTrainingJobRequest struct {
	*aws.Request
	Input *DescribeTrainingJobInput
	Copy  func(*DescribeTrainingJobInput) DescribeTrainingJobRequest
}

DescribeTrainingJobRequest is the request type for the DescribeTrainingJob API operation.

func (DescribeTrainingJobRequest) Send 

func (r DescribeTrainingJobRequest) Send(ctx context.Context) (*DescribeTrainingJobResponse, error)

Send marshals and sends the DescribeTrainingJob API request.

type DescribeTrainingJobResponse added in v0.9.0 

type DescribeTrainingJobResponse struct {
	*DescribeTrainingJobOutput
	// contains filtered or unexported fields
}

DescribeTrainingJobResponse is the response type for the DescribeTrainingJob API operation.

func (*DescribeTrainingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeTrainingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeTrainingJob request.

type DescribeTransformJobInput added in v0.5.0 

type DescribeTransformJobInput struct {

	// The name of the transform job that you want to view details of.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeTransformJobInput) String added in v0.5.0 

func (s DescribeTransformJobInput) String() string

String returns the string representation

func (*DescribeTransformJobInput) Validate added in v0.5.0 

func (s *DescribeTransformJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeTransformJobOutput added in v0.5.0 

type DescribeTransformJobOutput struct {

	// Specifies the number of records to include in a mini-batch for an HTTP inference
	// request. A record is a single unit of input data that inference can be made
	// on. For example, a single line in a CSV file is a record.
	//
	// To enable the batch strategy, you must set SplitType to Line, RecordIO, or
	// TFRecord.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// A timestamp that shows when the transform Job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The data structure used to specify the data to be used for inference in a
	// batch transform job and to associate the data that is relevant to the prediction
	// results in the output. The input filter provided allows you to exclude input
	// data that is not needed for inference in a batch transform job. The output
	// filter provided allows you to include input data relevant to interpreting
	// the predictions in the output from the job. For more information, see Associate
	// Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).
	DataProcessing *DataProcessing `type:"structure"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// If the transform job failed, FailureReason describes why it failed. A transform
	// job creates a log file, which includes error messages, and stores it as an
	// Amazon S3 object. For more information, see Log Amazon SageMaker Events with
	// Amazon CloudWatch (https://docs.aws.amazon.com/sagemaker/latest/dg/logging-cloudwatch.html).
	FailureReason *string `type:"string"`

	// The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling
	// job that created the transform or training job.
	LabelingJobArn *string `type:"string"`

	// The maximum number of parallel requests on each instance node that can be
	// launched in a transform job. The default value is 1.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum payload size, in MB, used in the transform job.
	MaxPayloadInMB *int64 `type:"integer"`

	// The name of the model used in the transform job.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// Indicates when the transform job has been completed, or has stopped or failed.
	// You are billed for the time interval between this time and the value of TransformStartTime.
	TransformEndTime *time.Time `type:"timestamp"`

	// Describes the dataset to be transformed and the Amazon S3 location where
	// it is stored.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`

	// The name of the transform job.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// The status of the transform job. If the transform job failed, the reason
	// is returned in the FailureReason field.
	//
	// TransformJobStatus is a required field
	TransformJobStatus TransformJobStatus `type:"string" required:"true" enum:"true"`

	// Identifies the Amazon S3 location where you want Amazon SageMaker to save
	// the results from the transform job.
	TransformOutput *TransformOutput `type:"structure"`

	// Describes the resources, including ML instance types and ML instance count,
	// to use for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`

	// Indicates when the transform job starts on ML instances. You are billed for
	// the time interval between this time and the value of TransformEndTime.
	TransformStartTime *time.Time `type:"timestamp"`
	// contains filtered or unexported fields
}

func (DescribeTransformJobOutput) String added in v0.5.0 

func (s DescribeTransformJobOutput) String() string

String returns the string representation

type DescribeTransformJobRequest added in v0.5.0 

type DescribeTransformJobRequest struct {
	*aws.Request
	Input *DescribeTransformJobInput
	Copy  func(*DescribeTransformJobInput) DescribeTransformJobRequest
}

DescribeTransformJobRequest is the request type for the DescribeTransformJob API operation.

func (DescribeTransformJobRequest) Send added in v0.5.0 

func (r DescribeTransformJobRequest) Send(ctx context.Context) (*DescribeTransformJobResponse, error)

Send marshals and sends the DescribeTransformJob API request.

type DescribeTransformJobResponse added in v0.9.0 

type DescribeTransformJobResponse struct {
	*DescribeTransformJobOutput
	// contains filtered or unexported fields
}

DescribeTransformJobResponse is the response type for the DescribeTransformJob API operation.

func (*DescribeTransformJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeTransformJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeTransformJob request.

type DescribeWorkteamInput added in v0.6.0 

type DescribeWorkteamInput struct {

	// The name of the work team to return a description of.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeWorkteamInput) String added in v0.6.0 

func (s DescribeWorkteamInput) String() string

String returns the string representation

func (*DescribeWorkteamInput) Validate added in v0.6.0 

func (s *DescribeWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DescribeWorkteamOutput added in v0.6.0 

type DescribeWorkteamOutput struct {

	// A Workteam instance that contains information about the work team.
	//
	// Workteam is a required field
	Workteam *Workteam `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (DescribeWorkteamOutput) String added in v0.6.0 

func (s DescribeWorkteamOutput) String() string

String returns the string representation

type DescribeWorkteamRequest added in v0.6.0 

type DescribeWorkteamRequest struct {
	*aws.Request
	Input *DescribeWorkteamInput
	Copy  func(*DescribeWorkteamInput) DescribeWorkteamRequest
}

DescribeWorkteamRequest is the request type for the DescribeWorkteam API operation.

func (DescribeWorkteamRequest) Send added in v0.6.0 

func (r DescribeWorkteamRequest) Send(ctx context.Context) (*DescribeWorkteamResponse, error)

Send marshals and sends the DescribeWorkteam API request.

type DescribeWorkteamResponse added in v0.9.0 

type DescribeWorkteamResponse struct {
	*DescribeWorkteamOutput
	// contains filtered or unexported fields
}

DescribeWorkteamResponse is the response type for the DescribeWorkteam API operation.

func (*DescribeWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *DescribeWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the DescribeWorkteam request.

type DesiredWeightAndCapacity 

type DesiredWeightAndCapacity struct {

	// The variant's capacity.
	DesiredInstanceCount *int64 `min:"1" type:"integer"`

	// The variant's weight.
	DesiredWeight *float64 `type:"float"`

	// The name of the variant to update.
	//
	// VariantName is a required field
	VariantName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies weight and capacity values for a production variant.

func (DesiredWeightAndCapacity) String 

func (s DesiredWeightAndCapacity) String() string

String returns the string representation

func (*DesiredWeightAndCapacity) Validate 

func (s *DesiredWeightAndCapacity) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type DetailedAlgorithmStatus added in v0.6.0 

type DetailedAlgorithmStatus string
const (
	DetailedAlgorithmStatusNotStarted DetailedAlgorithmStatus = "NotStarted"
	DetailedAlgorithmStatusInProgress DetailedAlgorithmStatus = "InProgress"
	DetailedAlgorithmStatusCompleted  DetailedAlgorithmStatus = "Completed"
	DetailedAlgorithmStatusFailed     DetailedAlgorithmStatus = "Failed"
)

Enum values for DetailedAlgorithmStatus

func (DetailedAlgorithmStatus) MarshalValue added in v0.6.0 

func (enum DetailedAlgorithmStatus) MarshalValue() (string, error)

func (DetailedAlgorithmStatus) MarshalValueBuf added in v0.6.0 

func (enum DetailedAlgorithmStatus) MarshalValueBuf(b []byte) ([]byte, error)

type DetailedModelPackageStatus added in v0.6.0 

type DetailedModelPackageStatus string
const (
	DetailedModelPackageStatusNotStarted DetailedModelPackageStatus = "NotStarted"
	DetailedModelPackageStatusInProgress DetailedModelPackageStatus = "InProgress"
	DetailedModelPackageStatusCompleted  DetailedModelPackageStatus = "Completed"
	DetailedModelPackageStatusFailed     DetailedModelPackageStatus = "Failed"
)

Enum values for DetailedModelPackageStatus

func (DetailedModelPackageStatus) MarshalValue added in v0.6.0 

func (enum DetailedModelPackageStatus) MarshalValue() (string, error)

func (DetailedModelPackageStatus) MarshalValueBuf added in v0.6.0 

func (enum DetailedModelPackageStatus) MarshalValueBuf(b []byte) ([]byte, error)

type DirectInternetAccess added in v0.4.0 

type DirectInternetAccess string
const (
	DirectInternetAccessEnabled  DirectInternetAccess = "Enabled"
	DirectInternetAccessDisabled DirectInternetAccess = "Disabled"
)

Enum values for DirectInternetAccess

func (DirectInternetAccess) MarshalValue added in v0.4.0 

func (enum DirectInternetAccess) MarshalValue() (string, error)

func (DirectInternetAccess) MarshalValueBuf added in v0.4.0 

func (enum DirectInternetAccess) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointConfigSortKey 

type EndpointConfigSortKey string
const (
	EndpointConfigSortKeyName         EndpointConfigSortKey = "Name"
	EndpointConfigSortKeyCreationTime EndpointConfigSortKey = "CreationTime"
)

Enum values for EndpointConfigSortKey

func (EndpointConfigSortKey) MarshalValue added in v0.3.0 

func (enum EndpointConfigSortKey) MarshalValue() (string, error)

func (EndpointConfigSortKey) MarshalValueBuf added in v0.3.0 

func (enum EndpointConfigSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointConfigSummary 

type EndpointConfigSummary struct {

	// A timestamp that shows when the endpoint configuration was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the endpoint configuration.
	//
	// EndpointConfigArn is a required field
	EndpointConfigArn *string `min:"20" type:"string" required:"true"`

	// The name of the endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for an endpoint configuration.

func (EndpointConfigSummary) String 

func (s EndpointConfigSummary) String() string

String returns the string representation

type EndpointSortKey 

type EndpointSortKey string
const (
	EndpointSortKeyName         EndpointSortKey = "Name"
	EndpointSortKeyCreationTime EndpointSortKey = "CreationTime"
	EndpointSortKeyStatus       EndpointSortKey = "Status"
)

Enum values for EndpointSortKey

func (EndpointSortKey) MarshalValue added in v0.3.0 

func (enum EndpointSortKey) MarshalValue() (string, error)

func (EndpointSortKey) MarshalValueBuf added in v0.3.0 

func (enum EndpointSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointStatus 

type EndpointStatus string
const (
	EndpointStatusOutOfService   EndpointStatus = "OutOfService"
	EndpointStatusCreating       EndpointStatus = "Creating"
	EndpointStatusUpdating       EndpointStatus = "Updating"
	EndpointStatusSystemUpdating EndpointStatus = "SystemUpdating"
	EndpointStatusRollingBack    EndpointStatus = "RollingBack"
	EndpointStatusInService      EndpointStatus = "InService"
	EndpointStatusDeleting       EndpointStatus = "Deleting"
	EndpointStatusFailed         EndpointStatus = "Failed"
)

Enum values for EndpointStatus

func (EndpointStatus) MarshalValue added in v0.3.0 

func (enum EndpointStatus) MarshalValue() (string, error)

func (EndpointStatus) MarshalValueBuf added in v0.3.0 

func (enum EndpointStatus) MarshalValueBuf(b []byte) ([]byte, error)

type EndpointSummary 

type EndpointSummary struct {

	// A timestamp that shows when the endpoint was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`

	// The name of the endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`

	// The status of the endpoint.
	//
	//    * OutOfService: Endpoint is not available to take incoming requests.
	//
	//    * Creating: CreateEndpoint is executing.
	//
	//    * Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
	//
	//    * SystemUpdating: Endpoint is undergoing maintenance and cannot be updated
	//    or deleted or re-scaled until it has completed. This maintenance operation
	//    does not change any customer-specified values such as VPC config, KMS
	//    encryption, model, instance type, or instance count.
	//
	//    * RollingBack: Endpoint fails to scale up or down or change its variant
	//    weight and is in the process of rolling back to its previous configuration.
	//    Once the rollback completes, endpoint returns to an InService status.
	//    This transitional status only applies to an endpoint that has autoscaling
	//    enabled and is undergoing variant weight or capacity changes as part of
	//    an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities
	//    operation is called explicitly.
	//
	//    * InService: Endpoint is available to process incoming requests.
	//
	//    * Deleting: DeleteEndpoint is executing.
	//
	//    * Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason
	//    for information about the failure. DeleteEndpoint is the only operation
	//    that can be performed on a failed endpoint.
	//
	// To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals
	// filter.
	//
	// EndpointStatus is a required field
	EndpointStatus EndpointStatus `type:"string" required:"true" enum:"true"`

	// A timestamp that shows when the endpoint was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for an endpoint.

func (EndpointSummary) String 

func (s EndpointSummary) String() string

String returns the string representation

type FileSystemAccessMode added in v0.11.0 

type FileSystemAccessMode string
const (
	FileSystemAccessModeRw FileSystemAccessMode = "rw"
	FileSystemAccessModeRo FileSystemAccessMode = "ro"
)

Enum values for FileSystemAccessMode

func (FileSystemAccessMode) MarshalValue added in v0.11.0 

func (enum FileSystemAccessMode) MarshalValue() (string, error)

func (FileSystemAccessMode) MarshalValueBuf added in v0.11.0 

func (enum FileSystemAccessMode) MarshalValueBuf(b []byte) ([]byte, error)

type FileSystemDataSource added in v0.11.0 

type FileSystemDataSource struct {

	// The full path to the directory to associate with the channel.
	//
	// DirectoryPath is a required field
	DirectoryPath *string `type:"string" required:"true"`

	// The access mode of the mount of the directory associated with the channel.
	// A directory can be mounted either in ro (read-only) or rw (read-write) mode.
	//
	// FileSystemAccessMode is a required field
	FileSystemAccessMode FileSystemAccessMode `type:"string" required:"true" enum:"true"`

	// The file system id.
	//
	// FileSystemId is a required field
	FileSystemId *string `min:"11" type:"string" required:"true"`

	// The file system type.
	//
	// FileSystemType is a required field
	FileSystemType FileSystemType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies a file system data source for a channel.

func (FileSystemDataSource) String added in v0.11.0 

func (s FileSystemDataSource) String() string

String returns the string representation

func (*FileSystemDataSource) Validate added in v0.11.0 

func (s *FileSystemDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type FileSystemType added in v0.11.0 

type FileSystemType string
const (
	FileSystemTypeEfs       FileSystemType = "EFS"
	FileSystemTypeFsxLustre FileSystemType = "FSxLustre"
)

Enum values for FileSystemType

func (FileSystemType) MarshalValue added in v0.11.0 

func (enum FileSystemType) MarshalValue() (string, error)

func (FileSystemType) MarshalValueBuf added in v0.11.0 

func (enum FileSystemType) MarshalValueBuf(b []byte) ([]byte, error)

type Filter added in v0.6.0 

type Filter struct {

	// A property name. For example, TrainingJobName. For the list of valid property
	// names returned in a search result for each supported resource, see TrainingJob
	// properties. You must specify a valid property name for the resource.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// A Boolean binary operator that is used to evaluate the filter. The operator
	// field contains one of the following values:
	//
	// Equals
	//
	// The specified resource in Name equals the specified Value.
	//
	// NotEquals
	//
	// The specified resource in Name does not equal the specified Value.
	//
	// GreaterThan
	//
	// The specified resource in Name is greater than the specified Value. Not supported
	// for text-based properties.
	//
	// GreaterThanOrEqualTo
	//
	// The specified resource in Name is greater than or equal to the specified
	// Value. Not supported for text-based properties.
	//
	// LessThan
	//
	// The specified resource in Name is less than the specified Value. Not supported
	// for text-based properties.
	//
	// LessThanOrEqualTo
	//
	// The specified resource in Name is less than or equal to the specified Value.
	// Not supported for text-based properties.
	//
	// Contains
	//
	// Only supported for text-based properties. The word-list of the property contains
	// the specified Value.
	//
	// If you have specified a filter Value, the default is Equals.
	Operator Operator `type:"string" enum:"true"`

	// A value used with Resource and Operator to determine if objects satisfy the
	// filter's condition. For numerical properties, Value must be an integer or
	// floating-point decimal. For timestamp properties, Value must be an ISO 8601
	// date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.
	Value *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

A conditional statement for a search expression that includes a Boolean operator, a resource property, and a value.

If you don't specify an Operator and a Value, the filter searches for only the specified property. For example, defining a Filter for the FailureReason for the TrainingJob Resource searches for training job objects that have a value in the FailureReason field.

If you specify a Value, but not an Operator, Amazon SageMaker uses the equals operator as the default.

In search, there are several property types:

Metrics

To define a metric filter, enter a value using the form "Metrics.<name>", where <name> is a metric name. For example, the following filter searches for training jobs with an "accuracy" metric greater than "0.9":

{

"Name": "Metrics.accuracy",

"Operator": "GREATER_THAN",

"Value": "0.9"

}

HyperParameters

To define a hyperparameter filter, enter a value with the form "HyperParameters.<name>". Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value is also a decimal value. If the specified Value is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a "learning_rate" hyperparameter that is less than "0.5":

{

"Name": "HyperParameters.learning_rate",

"Operator": "LESS_THAN",

"Value": "0.5"

}

Tags

To define a tag filter, enter a value with the form "Tags.<key>".

func (Filter) String added in v0.6.0 

func (s Filter) String() string

String returns the string representation

func (*Filter) Validate added in v0.6.0 

func (s *Filter) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type FinalHyperParameterTuningJobObjectiveMetric added in v0.5.0 

type FinalHyperParameterTuningJobObjectiveMetric struct {

	// The name of the objective metric.
	//
	// MetricName is a required field
	MetricName *string `min:"1" type:"string" required:"true"`

	// Whether to minimize or maximize the objective metric. Valid values are Minimize
	// and Maximize.
	Type HyperParameterTuningJobObjectiveType `type:"string" enum:"true"`

	// The value of the objective metric.
	//
	// Value is a required field
	Value *float64 `type:"float" required:"true"`
	// contains filtered or unexported fields
}

Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.

func (FinalHyperParameterTuningJobObjectiveMetric) String added in v0.5.0 

func (s FinalHyperParameterTuningJobObjectiveMetric) String() string

String returns the string representation

type Framework added in v0.6.0 

type Framework string
const (
	FrameworkTensorflow Framework = "TENSORFLOW"
	FrameworkMxnet      Framework = "MXNET"
	FrameworkOnnx       Framework = "ONNX"
	FrameworkPytorch    Framework = "PYTORCH"
	FrameworkXgboost    Framework = "XGBOOST"
)

Enum values for Framework

func (Framework) MarshalValue added in v0.6.0 

func (enum Framework) MarshalValue() (string, error)

func (Framework) MarshalValueBuf added in v0.6.0 

func (enum Framework) MarshalValueBuf(b []byte) ([]byte, error)

type GetSearchSuggestionsInput added in v0.6.0 

type GetSearchSuggestionsInput struct {

	// The name of the Amazon SageMaker resource to Search for. The only valid Resource
	// value is TrainingJob.
	//
	// Resource is a required field
	Resource ResourceType `type:"string" required:"true" enum:"true"`

	// Limits the property names that are included in the response.
	SuggestionQuery *SuggestionQuery `type:"structure"`
	// contains filtered or unexported fields
}

func (GetSearchSuggestionsInput) String added in v0.6.0 

func (s GetSearchSuggestionsInput) String() string

String returns the string representation

func (*GetSearchSuggestionsInput) Validate added in v0.6.0 

func (s *GetSearchSuggestionsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type GetSearchSuggestionsOutput added in v0.6.0 

type GetSearchSuggestionsOutput struct {

	// A list of property names for a Resource that match a SuggestionQuery.
	PropertyNameSuggestions []PropertyNameSuggestion `type:"list"`
	// contains filtered or unexported fields
}

func (GetSearchSuggestionsOutput) String added in v0.6.0 

func (s GetSearchSuggestionsOutput) String() string

String returns the string representation

type GetSearchSuggestionsRequest added in v0.6.0 

type GetSearchSuggestionsRequest struct {
	*aws.Request
	Input *GetSearchSuggestionsInput
	Copy  func(*GetSearchSuggestionsInput) GetSearchSuggestionsRequest
}

GetSearchSuggestionsRequest is the request type for the GetSearchSuggestions API operation.

func (GetSearchSuggestionsRequest) Send added in v0.6.0 

func (r GetSearchSuggestionsRequest) Send(ctx context.Context) (*GetSearchSuggestionsResponse, error)

Send marshals and sends the GetSearchSuggestions API request.

type GetSearchSuggestionsResponse added in v0.9.0 

type GetSearchSuggestionsResponse struct {
	*GetSearchSuggestionsOutput
	// contains filtered or unexported fields
}

GetSearchSuggestionsResponse is the response type for the GetSearchSuggestions API operation.

func (*GetSearchSuggestionsResponse) SDKResponseMetdata added in v0.9.0 

func (r *GetSearchSuggestionsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the GetSearchSuggestions request.

type GitConfig added in v0.6.0 

type GitConfig struct {

	// The default branch for the Git repository.
	Branch *string `min:"1" type:"string"`

	// The URL where the Git repository is located.
	//
	// RepositoryUrl is a required field
	RepositoryUrl *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains
	// the credentials used to access the git repository. The secret must have a
	// staging label of AWSCURRENT and must be in the following format:
	//
	// {"username": UserName, "password": Password}
	SecretArn *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Specifies configuration details for a Git repository in your AWS account.

func (GitConfig) String added in v0.6.0 

func (s GitConfig) String() string

String returns the string representation

func (*GitConfig) Validate added in v0.6.0 

func (s *GitConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type GitConfigForUpdate added in v0.6.0 

type GitConfigForUpdate struct {

	// The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains
	// the credentials used to access the git repository. The secret must have a
	// staging label of AWSCURRENT and must be in the following format:
	//
	// {"username": UserName, "password": Password}
	SecretArn *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Specifies configuration details for a Git repository when the repository is updated.

func (GitConfigForUpdate) String added in v0.6.0 

func (s GitConfigForUpdate) String() string

String returns the string representation

func (*GitConfigForUpdate) Validate added in v0.6.0 

func (s *GitConfigForUpdate) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HumanTaskConfig added in v0.6.0 

type HumanTaskConfig struct {

	// Configures how labels are consolidated across human workers.
	//
	// AnnotationConsolidationConfig is a required field
	AnnotationConsolidationConfig *AnnotationConsolidationConfig `type:"structure" required:"true"`

	// Defines the maximum number of data objects that can be labeled by human workers
	// at the same time. Each object may have more than one worker at one time.
	MaxConcurrentTaskCount *int64 `min:"1" type:"integer"`

	// The number of human workers that will label an object.
	//
	// NumberOfHumanWorkersPerDataObject is a required field
	NumberOfHumanWorkersPerDataObject *int64 `min:"1" type:"integer" required:"true"`

	// The Amazon Resource Name (ARN) of a Lambda function that is run before a
	// data object is sent to a human worker. Use this function to provide input
	// to a custom labeling job.
	//
	// For the built-in bounding box, image classification, semantic segmentation,
	// and text classification task types, Amazon SageMaker Ground Truth provides
	// the following Lambda functions:
	//
	// US East (Northern Virginia) (us-east-1):
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
	//
	// US East (Ohio) (us-east-2):
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
	//
	// US West (Oregon) (us-west-2):
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
	//
	// Canada (Central) (ca-central-1):
	//
	//    * arn:awslambda:ca-central-1:918755190332:function:PRE-BoundingBox
	//
	//    * arn:awslambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
	//
	//    * arn:awslambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
	//
	//    * arn:awslambda:ca-central-1:918755190332:function:PRE-TextMultiClass
	//
	//    * arn:awslambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
	//
	// EU (Ireland) (eu-west-1):
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
	//
	// EU (London) (eu-west-2):
	//
	//    * arn:awslambda:eu-west-2:487402164563:function:PRE-BoundingBox
	//
	//    * arn:awslambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
	//
	//    * arn:awslambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
	//
	//    * arn:awslambda:eu-west-2:487402164563:function:PRE-TextMultiClass
	//
	//    * arn:awslambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
	//
	// EU Frankfurt (eu-central-1):
	//
	//    * arn:awslambda:eu-central-1:203001061592:function:PRE-BoundingBox
	//
	//    * arn:awslambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
	//
	//    * arn:awslambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
	//
	//    * arn:awslambda:eu-central-1:203001061592:function:PRE-TextMultiClass
	//
	//    * arn:awslambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
	//
	// Asia Pacific (Tokyo) (ap-northeast-1):
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
	//
	// Asia Pacific (Seoul) (ap-northeast-2):
	//
	//    * arn:awslambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
	//
	//    * arn:awslambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
	//
	//    * arn:awslambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
	//
	//    * arn:awslambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
	//
	//    * arn:awslambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
	//
	// Asia Pacific (Mumbai) (ap-south-1):
	//
	//    * arn:awslambda:ap-south-1:565803892007:function:PRE-BoundingBox
	//
	//    * arn:awslambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
	//
	//    * arn:awslambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
	//
	//    * arn:awslambda:ap-south-1:565803892007:function:PRE-TextMultiClass
	//
	//    * arn:awslambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
	//
	// Asia Pacific (Singapore) (ap-southeast-1):
	//
	//    * arn:awslambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
	//
	//    * arn:awslambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
	//
	//    * arn:awslambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
	//
	//    * arn:awslambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
	//
	//    * arn:awslambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
	//
	// Asia Pacific (Sydney) (ap-southeast-2):
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
	//
	//    * arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
	//
	// PreHumanTaskLambdaArn is a required field
	PreHumanTaskLambdaArn *string `type:"string" required:"true"`

	// The price that you pay for each task performed by an Amazon Mechanical Turk
	// worker.
	PublicWorkforceTaskPrice *PublicWorkforceTaskPrice `type:"structure"`

	// The length of time that a task remains available for labeling by human workers.
	// If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours
	// (43200). For private and vendor workforces, the maximum is as listed.
	TaskAvailabilityLifetimeInSeconds *int64 `min:"1" type:"integer"`

	// A description of the task for your human workers.
	//
	// TaskDescription is a required field
	TaskDescription *string `min:"1" type:"string" required:"true"`

	// Keywords used to describe the task so that workers on Amazon Mechanical Turk
	// can discover the task.
	TaskKeywords []string `min:"1" type:"list"`

	// The amount of time that a worker has to complete a task.
	//
	// TaskTimeLimitInSeconds is a required field
	TaskTimeLimitInSeconds *int64 `min:"30" type:"integer" required:"true"`

	// A title for the task for your human workers.
	//
	// TaskTitle is a required field
	TaskTitle *string `min:"1" type:"string" required:"true"`

	// Information about the user interface that workers use to complete the labeling
	// task.
	//
	// UiConfig is a required field
	UiConfig *UiConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the work team assigned to complete the
	// tasks.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Information required for human workers to complete a labeling task.

func (HumanTaskConfig) String added in v0.6.0 

func (s HumanTaskConfig) String() string

String returns the string representation

func (*HumanTaskConfig) Validate added in v0.6.0 

func (s *HumanTaskConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterAlgorithmSpecification added in v0.5.0 

type HyperParameterAlgorithmSpecification struct {

	// The name of the resource algorithm to use for the hyperparameter tuning job.
	// If you specify a value for this parameter, do not specify a value for TrainingImage.
	AlgorithmName *string `min:"1" type:"string"`

	// An array of MetricDefinition objects that specify the metrics that the algorithm
	// emits.
	MetricDefinitions []MetricDefinition `type:"list"`

	// The registry path of the Docker image that contains the training algorithm.
	// For information about Docker registry paths for built-in algorithms, see
	// Algorithms Provided by Amazon SageMaker: Common Parameters (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-algo-docker-registry-paths.html).
	// Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest]
	// image path formats. For more information, see Using Your Own Algorithms with
	// Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	TrainingImage *string `type:"string"`

	// The input mode that the algorithm supports: File or Pipe. In File input mode,
	// Amazon SageMaker downloads the training data from Amazon S3 to the storage
	// volume that is attached to the training instance and mounts the directory
	// to the Docker volume for the training container. In Pipe input mode, Amazon
	// SageMaker streams data directly from Amazon S3 to the container.
	//
	// If you specify File mode, make sure that you provision the storage volume
	// that is attached to the training instance with enough capacity to accommodate
	// the training data downloaded from Amazon S3, the model artifacts, and intermediate
	// information.
	//
	// For more information about input modes, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	//
	// TrainingInputMode is a required field
	TrainingInputMode TrainingInputMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.

func (HyperParameterAlgorithmSpecification) String added in v0.5.0 

func (s HyperParameterAlgorithmSpecification) String() string

String returns the string representation

func (*HyperParameterAlgorithmSpecification) Validate added in v0.5.0 

func (s *HyperParameterAlgorithmSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterScalingType added in v0.8.0 

type HyperParameterScalingType string
const (
	HyperParameterScalingTypeAuto               HyperParameterScalingType = "Auto"
	HyperParameterScalingTypeLinear             HyperParameterScalingType = "Linear"
	HyperParameterScalingTypeLogarithmic        HyperParameterScalingType = "Logarithmic"
	HyperParameterScalingTypeReverseLogarithmic HyperParameterScalingType = "ReverseLogarithmic"
)

Enum values for HyperParameterScalingType

func (HyperParameterScalingType) MarshalValue added in v0.8.0 

func (enum HyperParameterScalingType) MarshalValue() (string, error)

func (HyperParameterScalingType) MarshalValueBuf added in v0.8.0 

func (enum HyperParameterScalingType) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterSpecification added in v0.6.0 

type HyperParameterSpecification struct {

	// The default value for this hyperparameter. If a default value is specified,
	// a hyperparameter cannot be required.
	DefaultValue *string `type:"string"`

	// A brief description of the hyperparameter.
	Description *string `type:"string"`

	// Indicates whether this hyperparameter is required.
	IsRequired *bool `type:"boolean"`

	// Indicates whether this hyperparameter is tunable in a hyperparameter tuning
	// job.
	IsTunable *bool `type:"boolean"`

	// The name of this hyperparameter. The name must be unique.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// The allowed range for this hyperparameter.
	Range *ParameterRange `type:"structure"`

	// The type of this hyperparameter. The valid types are Integer, Continuous,
	// Categorical, and FreeText.
	//
	// Type is a required field
	Type ParameterType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Defines a hyperparameter to be used by an algorithm.

func (HyperParameterSpecification) String added in v0.6.0 

func (s HyperParameterSpecification) String() string

String returns the string representation

func (*HyperParameterSpecification) Validate added in v0.6.0 

func (s *HyperParameterSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTrainingJobDefinition added in v0.5.0 

type HyperParameterTrainingJobDefinition struct {

	// The HyperParameterAlgorithmSpecification object that specifies the resource
	// algorithm to use for the training jobs that the tuning job launches.
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *HyperParameterAlgorithmSpecification `type:"structure" required:"true"`

	// Contains information about the output location for managed spot training
	// checkpoint data.
	CheckpointConfig *CheckpointConfig `type:"structure"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithm in distributed training.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// A Boolean indicating whether managed spot training is enabled (True) or not
	// (False).
	EnableManagedSpotTraining *bool `type:"boolean"`

	// Isolates the training container. No inbound or outbound network calls can
	// be made, except for calls between peers within a training cluster for distributed
	// training. If network isolation is used for training jobs that are configured
	// to use a VPC, Amazon SageMaker downloads and uploads customer data and model
	// artifacts through the specified VPC, but the training container does not
	// have network access.
	//
	// The Semantic Segmentation built-in algorithm does not support network isolation.
	EnableNetworkIsolation *bool `type:"boolean"`

	// An array of Channel objects that specify the input for the training jobs
	// that the tuning job launches.
	InputDataConfig []Channel `min:"1" type:"list"`

	// Specifies the path to the Amazon S3 bucket where you store model artifacts
	// from the training jobs that the tuning job launches.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *OutputDataConfig `type:"structure" required:"true"`

	// The resources, including the compute instances and storage volumes, to use
	// for the training jobs that the tuning job launches.
	//
	// Storage volumes store model artifacts and incremental states. Training algorithms
	// might also use storage volumes for scratch space. If you want Amazon SageMaker
	// to use the storage volume to store the training data, choose File as the
	// TrainingInputMode in the algorithm specification. For distributed training
	// algorithms, specify an instance count greater than 1.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the IAM role associated with the training
	// jobs that the tuning job launches.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Specifies the values of hyperparameters that do not change for the tuning
	// job.
	StaticHyperParameters map[string]string `type:"map"`

	// Specifies a limit to how long a model hyperparameter training job can run.
	// It also specifies how long you are willing to wait for a managed spot training
	// job to complete. When the job reaches the a limit, Amazon SageMaker ends
	// the training job. Use this API to cap model training costs.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// The VpcConfig object that specifies the VPC that you want the training jobs
	// that this hyperparameter tuning job launches to connect to. Control access
	// to and from your training container by configuring the VPC. For more information,
	// see Protect Training Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

Defines the training jobs launched by a hyperparameter tuning job.

func (HyperParameterTrainingJobDefinition) String added in v0.5.0 

func (s HyperParameterTrainingJobDefinition) String() string

String returns the string representation

func (*HyperParameterTrainingJobDefinition) Validate added in v0.5.0 

func (s *HyperParameterTrainingJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTrainingJobSummary added in v0.5.0 

type HyperParameterTrainingJobSummary struct {

	// The date and time that the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The reason that the training job failed.
	FailureReason *string `type:"string"`

	// The FinalHyperParameterTuningJobObjectiveMetric object that specifies the
	// value of the objective metric of the tuning job that launched this training
	// job.
	FinalHyperParameterTuningJobObjectiveMetric *FinalHyperParameterTuningJobObjectiveMetric `type:"structure"`

	// The status of the objective metric for the training job:
	//
	//    * Succeeded: The final objective metric for the training job was evaluated
	//    by the hyperparameter tuning job and used in the hyperparameter tuning
	//    process.
	//
	//    * Pending: The training job is in progress and evaluation of its final
	//    objective metric is pending.
	//
	//    * Failed: The final objective metric for the training job was not evaluated,
	//    and was not used in the hyperparameter tuning process. This typically
	//    occurs when the training job failed or did not emit an objective metric.
	ObjectiveStatus ObjectiveStatus `type:"string" enum:"true"`

	// Specifies the time when the training job ends on training instances. You
	// are billed for the time interval between the value of TrainingStartTime and
	// this time. For successful jobs and stopped jobs, this is the time after model
	// artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker
	// detects a job failure.
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`

	// The name of the training job.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the training job.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus TrainingJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the training job started.
	TrainingStartTime *time.Time `type:"timestamp"`

	// A list of the hyperparameters for which you specified ranges to search.
	//
	// TunedHyperParameters is a required field
	TunedHyperParameters map[string]string `type:"map" required:"true"`

	// The HyperParameter tuning job that launched the training job.
	TuningJobName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Specifies summary information about a training job.

func (HyperParameterTrainingJobSummary) String added in v0.5.0 

func (s HyperParameterTrainingJobSummary) String() string

String returns the string representation

type HyperParameterTuningJobConfig added in v0.5.0 

type HyperParameterTuningJobConfig struct {

	// The HyperParameterTuningJobObjective object that specifies the objective
	// metric for this tuning job.
	HyperParameterTuningJobObjective *HyperParameterTuningJobObjective `type:"structure"`

	// The ParameterRanges object that specifies the ranges of hyperparameters that
	// this tuning job searches.
	ParameterRanges *ParameterRanges `type:"structure"`

	// The ResourceLimits object that specifies the maximum number of training jobs
	// and parallel training jobs for this tuning job.
	//
	// ResourceLimits is a required field
	ResourceLimits *ResourceLimits `type:"structure" required:"true"`

	// Specifies how hyperparameter tuning chooses the combinations of hyperparameter
	// values to use for the training job it launches. To use the Bayesian search
	// stategy, set this to Bayesian. To randomly search, set it to Random. For
	// information about search strategies, see How Hyperparameter Tuning Works
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html).
	//
	// Strategy is a required field
	Strategy HyperParameterTuningJobStrategyType `type:"string" required:"true" enum:"true"`

	// Specifies whether to use early stopping for training jobs launched by the
	// hyperparameter tuning job. This can be one of the following values (the default
	// value is OFF):
	//
	// OFF
	//
	// Training jobs launched by the hyperparameter tuning job do not use early
	// stopping.
	//
	// AUTO
	//
	// Amazon SageMaker stops training jobs launched by the hyperparameter tuning
	// job when they are unlikely to perform better than previously completed training
	// jobs. For more information, see Stop Training Jobs Early (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-early-stopping.html).
	TrainingJobEarlyStoppingType TrainingJobEarlyStoppingType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

Configures a hyperparameter tuning job.

func (HyperParameterTuningJobConfig) String added in v0.5.0 

func (s HyperParameterTuningJobConfig) String() string

String returns the string representation

func (*HyperParameterTuningJobConfig) Validate added in v0.5.0 

func (s *HyperParameterTuningJobConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTuningJobObjective added in v0.5.0 

type HyperParameterTuningJobObjective struct {

	// The name of the metric to use for the objective metric.
	//
	// MetricName is a required field
	MetricName *string `min:"1" type:"string" required:"true"`

	// Whether to minimize or maximize the objective metric.
	//
	// Type is a required field
	Type HyperParameterTuningJobObjectiveType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter.

func (HyperParameterTuningJobObjective) String added in v0.5.0 

func (s HyperParameterTuningJobObjective) String() string

String returns the string representation

func (*HyperParameterTuningJobObjective) Validate added in v0.5.0 

func (s *HyperParameterTuningJobObjective) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTuningJobObjectiveType added in v0.5.0 

type HyperParameterTuningJobObjectiveType string
const (
	HyperParameterTuningJobObjectiveTypeMaximize HyperParameterTuningJobObjectiveType = "Maximize"
	HyperParameterTuningJobObjectiveTypeMinimize HyperParameterTuningJobObjectiveType = "Minimize"
)

Enum values for HyperParameterTuningJobObjectiveType

func (HyperParameterTuningJobObjectiveType) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobObjectiveType) MarshalValue() (string, error)

func (HyperParameterTuningJobObjectiveType) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobObjectiveType) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobSortByOptions added in v0.5.0 

type HyperParameterTuningJobSortByOptions string
const (
	HyperParameterTuningJobSortByOptionsName         HyperParameterTuningJobSortByOptions = "Name"
	HyperParameterTuningJobSortByOptionsStatus       HyperParameterTuningJobSortByOptions = "Status"
	HyperParameterTuningJobSortByOptionsCreationTime HyperParameterTuningJobSortByOptions = "CreationTime"
)

Enum values for HyperParameterTuningJobSortByOptions

func (HyperParameterTuningJobSortByOptions) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobSortByOptions) MarshalValue() (string, error)

func (HyperParameterTuningJobSortByOptions) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobStatus added in v0.5.0 

type HyperParameterTuningJobStatus string
const (
	HyperParameterTuningJobStatusCompleted  HyperParameterTuningJobStatus = "Completed"
	HyperParameterTuningJobStatusInProgress HyperParameterTuningJobStatus = "InProgress"
	HyperParameterTuningJobStatusFailed     HyperParameterTuningJobStatus = "Failed"
	HyperParameterTuningJobStatusStopped    HyperParameterTuningJobStatus = "Stopped"
	HyperParameterTuningJobStatusStopping   HyperParameterTuningJobStatus = "Stopping"
)

Enum values for HyperParameterTuningJobStatus

func (HyperParameterTuningJobStatus) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobStatus) MarshalValue() (string, error)

func (HyperParameterTuningJobStatus) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobStrategyType added in v0.5.0 

type HyperParameterTuningJobStrategyType string

The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model. Currently, the only supported value is Bayesian. 

const (
	HyperParameterTuningJobStrategyTypeBayesian HyperParameterTuningJobStrategyType = "Bayesian"
	HyperParameterTuningJobStrategyTypeRandom   HyperParameterTuningJobStrategyType = "Random"
)

Enum values for HyperParameterTuningJobStrategyType

func (HyperParameterTuningJobStrategyType) MarshalValue added in v0.5.0 

func (enum HyperParameterTuningJobStrategyType) MarshalValue() (string, error)

func (HyperParameterTuningJobStrategyType) MarshalValueBuf added in v0.5.0 

func (enum HyperParameterTuningJobStrategyType) MarshalValueBuf(b []byte) ([]byte, error)

type HyperParameterTuningJobSummary added in v0.5.0 

type HyperParameterTuningJobSummary struct {

	// The date and time that the tuning job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The date and time that the tuning job ended.
	HyperParameterTuningEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the tuning job.
	//
	// HyperParameterTuningJobArn is a required field
	HyperParameterTuningJobArn *string `type:"string" required:"true"`

	// The name of the tuning job.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// The status of the tuning job.
	//
	// HyperParameterTuningJobStatus is a required field
	HyperParameterTuningJobStatus HyperParameterTuningJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the tuning job was modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The ObjectiveStatusCounters object that specifies the numbers of training
	// jobs, categorized by objective metric status, that this tuning job launched.
	//
	// ObjectiveStatusCounters is a required field
	ObjectiveStatusCounters *ObjectiveStatusCounters `type:"structure" required:"true"`

	// The ResourceLimits object that specifies the maximum number of training jobs
	// and parallel training jobs allowed for this tuning job.
	ResourceLimits *ResourceLimits `type:"structure"`

	// Specifies the search strategy hyperparameter tuning uses to choose which
	// hyperparameters to use for each iteration. Currently, the only valid value
	// is Bayesian.
	//
	// Strategy is a required field
	Strategy HyperParameterTuningJobStrategyType `type:"string" required:"true" enum:"true"`

	// The TrainingJobStatusCounters object that specifies the numbers of training
	// jobs, categorized by status, that this tuning job launched.
	//
	// TrainingJobStatusCounters is a required field
	TrainingJobStatusCounters *TrainingJobStatusCounters `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a hyperparameter tuning job.

func (HyperParameterTuningJobSummary) String added in v0.5.0 

func (s HyperParameterTuningJobSummary) String() string

String returns the string representation

type HyperParameterTuningJobWarmStartConfig added in v0.6.0 

type HyperParameterTuningJobWarmStartConfig struct {

	// An array of hyperparameter tuning jobs that are used as the starting point
	// for the new hyperparameter tuning job. For more information about warm starting
	// a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job
	// as a Starting Point (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-warm-start.html).
	//
	// Hyperparameter tuning jobs created before October 1, 2018 cannot be used
	// as parent jobs for warm start tuning jobs.
	//
	// ParentHyperParameterTuningJobs is a required field
	ParentHyperParameterTuningJobs []ParentHyperParameterTuningJob `min:"1" type:"list" required:"true"`

	// Specifies one of the following:
	//
	// IDENTICAL_DATA_AND_ALGORITHM
	//
	// The new hyperparameter tuning job uses the same input data and training image
	// as the parent tuning jobs. You can change the hyperparameter ranges to search
	// and the maximum number of training jobs that the hyperparameter tuning job
	// launches. You cannot use a new version of the training algorithm, unless
	// the changes in the new version do not affect the algorithm itself. For example,
	// changes that improve logging or adding support for a different data format
	// are allowed. You can also change hyperparameters from tunable to static,
	// and from static to tunable, but the total number of static plus tunable hyperparameters
	// must remain the same as it is in all parent jobs. The objective metric for
	// the new tuning job must be the same as for all parent jobs.
	//
	// TRANSFER_LEARNING
	//
	// The new hyperparameter tuning job can include input data, hyperparameter
	// ranges, maximum number of concurrent training jobs, and maximum number of
	// training jobs that are different than those of its parent hyperparameter
	// tuning jobs. The training image can also be a different version from the
	// version used in the parent hyperparameter tuning job. You can also change
	// hyperparameters from tunable to static, and from static to tunable, but the
	// total number of static plus tunable hyperparameters must remain the same
	// as it is in all parent jobs. The objective metric for the new tuning job
	// must be the same as for all parent jobs.
	//
	// WarmStartType is a required field
	WarmStartType HyperParameterTuningJobWarmStartType `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.

All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.

All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.

func (HyperParameterTuningJobWarmStartConfig) String added in v0.6.0 

func (s HyperParameterTuningJobWarmStartConfig) String() string

String returns the string representation

func (*HyperParameterTuningJobWarmStartConfig) Validate added in v0.6.0 

func (s *HyperParameterTuningJobWarmStartConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type HyperParameterTuningJobWarmStartType added in v0.6.0 

type HyperParameterTuningJobWarmStartType string
const (
	HyperParameterTuningJobWarmStartTypeIdenticalDataAndAlgorithm HyperParameterTuningJobWarmStartType = "IdenticalDataAndAlgorithm"
	HyperParameterTuningJobWarmStartTypeTransferLearning          HyperParameterTuningJobWarmStartType = "TransferLearning"
)

Enum values for HyperParameterTuningJobWarmStartType

func (HyperParameterTuningJobWarmStartType) MarshalValue added in v0.6.0 

func (enum HyperParameterTuningJobWarmStartType) MarshalValue() (string, error)

func (HyperParameterTuningJobWarmStartType) MarshalValueBuf added in v0.6.0 

func (enum HyperParameterTuningJobWarmStartType) MarshalValueBuf(b []byte) ([]byte, error)

type InferenceSpecification added in v0.6.0 

type InferenceSpecification struct {

	// The Amazon ECR registry path of the Docker image that contains the inference
	// code.
	//
	// Containers is a required field
	Containers []ModelPackageContainerDefinition `min:"1" type:"list" required:"true"`

	// The supported MIME types for the input data.
	//
	// SupportedContentTypes is a required field
	SupportedContentTypes []string `type:"list" required:"true"`

	// A list of the instance types that are used to generate inferences in real-time.
	//
	// SupportedRealtimeInferenceInstanceTypes is a required field
	SupportedRealtimeInferenceInstanceTypes []ProductionVariantInstanceType `type:"list" required:"true"`

	// The supported MIME types for the output data.
	//
	// SupportedResponseMIMETypes is a required field
	SupportedResponseMIMETypes []string `type:"list" required:"true"`

	// A list of the instance types on which a transformation job can be run or
	// on which an endpoint can be deployed.
	//
	// SupportedTransformInstanceTypes is a required field
	SupportedTransformInstanceTypes []TransformInstanceType `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Defines how to perform inference generation after a training job is run.

func (InferenceSpecification) String added in v0.6.0 

func (s InferenceSpecification) String() string

String returns the string representation

func (*InferenceSpecification) Validate added in v0.6.0 

func (s *InferenceSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type InputConfig added in v0.6.0 

type InputConfig struct {

	// Specifies the name and shape of the expected data inputs for your trained
	// model with a JSON dictionary form. The data inputs are InputConfig$Framework
	// specific.
	//
	//    * TensorFlow: You must specify the name and shape (NHWC format) of the
	//    expected data inputs using a dictionary format for your trained model.
	//    The dictionary formats required for the console and CLI are different.
	//    Examples for one input: If using the console, {"input":[1,1024,1024,3]}
	//    If using the CLI, {\"input\":[1,1024,1024,3]} Examples for two inputs:
	//    If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]} If using
	//    the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
	//
	//    * MXNET/ONNX: You must specify the name and shape (NCHW format) of the
	//    expected data inputs in order using a dictionary format for your trained
	//    model. The dictionary formats required for the console and CLI are different.
	//    Examples for one input: If using the console, {"data":[1,3,1024,1024]}
	//    If using the CLI, {\"data\":[1,3,1024,1024]} Examples for two inputs:
	//    If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]} If using
	//    the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
	//
	//    * PyTorch: You can either specify the name and shape (NCHW format) of
	//    expected data inputs in order using a dictionary format for your trained
	//    model or you can specify the shape only using a list format. The dictionary
	//    formats required for the console and CLI are different. The list formats
	//    for the console and CLI are the same. Examples for one input in dictionary
	//    format: If using the console, {"input0":[1,3,224,224]} If using the CLI,
	//    {\"input0\":[1,3,224,224]} Example for one input in list format: [[1,3,224,224]]
	//    Examples for two inputs in dictionary format: If using the console, {"input0":[1,3,224,224],
	//    "input1":[1,3,224,224]} If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
	//    Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
	//
	//    * XGBOOST: input data name and shape are not needed.
	//
	// DataInputConfig is a required field
	DataInputConfig *string `min:"1" type:"string" required:"true"`

	// Identifies the framework in which the model was trained. For example: TENSORFLOW.
	//
	// Framework is a required field
	Framework Framework `type:"string" required:"true" enum:"true"`

	// The S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix).
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

func (InputConfig) String added in v0.6.0 

func (s InputConfig) String() string

String returns the string representation

func (*InputConfig) Validate added in v0.6.0 

func (s *InputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type InstanceType 

type InstanceType string
const (
	InstanceTypeMlT2Medium    InstanceType = "ml.t2.medium"
	InstanceTypeMlT2Large     InstanceType = "ml.t2.large"
	InstanceTypeMlT2Xlarge    InstanceType = "ml.t2.xlarge"
	InstanceTypeMlT22xlarge   InstanceType = "ml.t2.2xlarge"
	InstanceTypeMlT3Medium    InstanceType = "ml.t3.medium"
	InstanceTypeMlT3Large     InstanceType = "ml.t3.large"
	InstanceTypeMlT3Xlarge    InstanceType = "ml.t3.xlarge"
	InstanceTypeMlT32xlarge   InstanceType = "ml.t3.2xlarge"
	InstanceTypeMlM4Xlarge    InstanceType = "ml.m4.xlarge"
	InstanceTypeMlM42xlarge   InstanceType = "ml.m4.2xlarge"
	InstanceTypeMlM44xlarge   InstanceType = "ml.m4.4xlarge"
	InstanceTypeMlM410xlarge  InstanceType = "ml.m4.10xlarge"
	InstanceTypeMlM416xlarge  InstanceType = "ml.m4.16xlarge"
	InstanceTypeMlM5Xlarge    InstanceType = "ml.m5.xlarge"
	InstanceTypeMlM52xlarge   InstanceType = "ml.m5.2xlarge"
	InstanceTypeMlM54xlarge   InstanceType = "ml.m5.4xlarge"
	InstanceTypeMlM512xlarge  InstanceType = "ml.m5.12xlarge"
	InstanceTypeMlM524xlarge  InstanceType = "ml.m5.24xlarge"
	InstanceTypeMlC4Xlarge    InstanceType = "ml.c4.xlarge"
	InstanceTypeMlC42xlarge   InstanceType = "ml.c4.2xlarge"
	InstanceTypeMlC44xlarge   InstanceType = "ml.c4.4xlarge"
	InstanceTypeMlC48xlarge   InstanceType = "ml.c4.8xlarge"
	InstanceTypeMlC5Xlarge    InstanceType = "ml.c5.xlarge"
	InstanceTypeMlC52xlarge   InstanceType = "ml.c5.2xlarge"
	InstanceTypeMlC54xlarge   InstanceType = "ml.c5.4xlarge"
	InstanceTypeMlC59xlarge   InstanceType = "ml.c5.9xlarge"
	InstanceTypeMlC518xlarge  InstanceType = "ml.c5.18xlarge"
	InstanceTypeMlC5dXlarge   InstanceType = "ml.c5d.xlarge"
	InstanceTypeMlC5d2xlarge  InstanceType = "ml.c5d.2xlarge"
	InstanceTypeMlC5d4xlarge  InstanceType = "ml.c5d.4xlarge"
	InstanceTypeMlC5d9xlarge  InstanceType = "ml.c5d.9xlarge"
	InstanceTypeMlC5d18xlarge InstanceType = "ml.c5d.18xlarge"
	InstanceTypeMlP2Xlarge    InstanceType = "ml.p2.xlarge"
	InstanceTypeMlP28xlarge   InstanceType = "ml.p2.8xlarge"
	InstanceTypeMlP216xlarge  InstanceType = "ml.p2.16xlarge"
	InstanceTypeMlP32xlarge   InstanceType = "ml.p3.2xlarge"
	InstanceTypeMlP38xlarge   InstanceType = "ml.p3.8xlarge"
	InstanceTypeMlP316xlarge  InstanceType = "ml.p3.16xlarge"
)

Enum values for InstanceType

func (InstanceType) MarshalValue added in v0.3.0 

func (enum InstanceType) MarshalValue() (string, error)

func (InstanceType) MarshalValueBuf added in v0.3.0 

func (enum InstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type IntegerParameterRange added in v0.5.0 

type IntegerParameterRange struct {

	// The maximum value of the hyperparameter to search.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum value of the hyperparameter to search.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`

	// The name of the hyperparameter to search.
	//
	// Name is a required field
	Name *string `type:"string" required:"true"`

	// The scale that hyperparameter tuning uses to search the hyperparameter range.
	// For information about choosing a hyperparameter scale, see Hyperparameter
	// Scaling (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type).
	// One of the following values:
	//
	// Auto
	//
	// Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
	//
	// Linear
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a linear scale.
	//
	// Logarithmic
	//
	// Hyperparemeter tuning searches the values in the hyperparameter range by
	// using a logarithmic scale.
	//
	// Logarithmic scaling works only for ranges that have only values greater than
	// 0.
	ScalingType HyperParameterScalingType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.

func (IntegerParameterRange) String added in v0.5.0 

func (s IntegerParameterRange) String() string

String returns the string representation

func (*IntegerParameterRange) Validate added in v0.5.0 

func (s *IntegerParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type IntegerParameterRangeSpecification added in v0.6.0 

type IntegerParameterRangeSpecification struct {

	// The maximum integer value allowed.
	//
	// MaxValue is a required field
	MaxValue *string `type:"string" required:"true"`

	// The minimum integer value allowed.
	//
	// MinValue is a required field
	MinValue *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Defines the possible values for an integer hyperparameter.

func (IntegerParameterRangeSpecification) String added in v0.6.0 

func (s IntegerParameterRangeSpecification) String() string

String returns the string representation

func (*IntegerParameterRangeSpecification) Validate added in v0.6.0 

func (s *IntegerParameterRangeSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type JoinSource added in v0.10.0 

type JoinSource string
const (
	JoinSourceInput JoinSource = "Input"
	JoinSourceNone  JoinSource = "None"
)

Enum values for JoinSource

func (JoinSource) MarshalValue added in v0.10.0 

func (enum JoinSource) MarshalValue() (string, error)

func (JoinSource) MarshalValueBuf added in v0.10.0 

func (enum JoinSource) MarshalValueBuf(b []byte) ([]byte, error)

type LabelCounters added in v0.6.0 

type LabelCounters struct {

	// The total number of objects that could not be labeled due to an error.
	FailedNonRetryableError *int64 `type:"integer"`

	// The total number of objects labeled by a human worker.
	HumanLabeled *int64 `type:"integer"`

	// The total number of objects labeled by automated data labeling.
	MachineLabeled *int64 `type:"integer"`

	// The total number of objects labeled.
	TotalLabeled *int64 `type:"integer"`

	// The total number of objects not yet labeled.
	Unlabeled *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Provides a breakdown of the number of objects labeled.

func (LabelCounters) String added in v0.6.0 

func (s LabelCounters) String() string

String returns the string representation

type LabelCountersForWorkteam added in v0.6.0 

type LabelCountersForWorkteam struct {

	// The total number of data objects labeled by a human worker.
	HumanLabeled *int64 `type:"integer"`

	// The total number of data objects that need to be labeled by a human worker.
	PendingHuman *int64 `type:"integer"`

	// The total number of tasks in the labeling job.
	Total *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Provides counts for human-labeled tasks in the labeling job.

func (LabelCountersForWorkteam) String added in v0.6.0 

func (s LabelCountersForWorkteam) String() string

String returns the string representation

type LabelingJobAlgorithmsConfig added in v0.6.0 

type LabelingJobAlgorithmsConfig struct {

	// At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon
	// Resource Nam (ARN) of the final model used for auto-labeling. You can use
	// this model as the starting point for subsequent similar jobs by providing
	// the ARN of the model here.
	InitialActiveLearningModelArn *string `min:"20" type:"string"`

	// Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.
	// You must select one of the following ARNs:
	//
	//    * Image classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
	//
	//    * Text classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
	//
	//    * Object detection arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
	//
	//    * Semantic Segmentation arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
	//
	// LabelingJobAlgorithmSpecificationArn is a required field
	LabelingJobAlgorithmSpecificationArn *string `type:"string" required:"true"`

	// Provides configuration information for a labeling job.
	LabelingJobResourceConfig *LabelingJobResourceConfig `type:"structure"`
	// contains filtered or unexported fields
}

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

func (LabelingJobAlgorithmsConfig) String added in v0.6.0 

func (s LabelingJobAlgorithmsConfig) String() string

String returns the string representation

func (*LabelingJobAlgorithmsConfig) Validate added in v0.6.0 

func (s *LabelingJobAlgorithmsConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobDataAttributes added in v0.6.0 

type LabelingJobDataAttributes struct {

	// Declares that your content is free of personally identifiable information
	// or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk
	// workers that can view your task based on this information.
	ContentClassifiers []ContentClassifier `type:"list"`
	// contains filtered or unexported fields
}

Attributes of the data specified by the customer. Use these to describe the data to be labeled.

func (LabelingJobDataAttributes) String added in v0.6.0 

func (s LabelingJobDataAttributes) String() string

String returns the string representation

type LabelingJobDataSource added in v0.6.0 

type LabelingJobDataSource struct {

	// The Amazon S3 location of the input data objects.
	//
	// S3DataSource is a required field
	S3DataSource *LabelingJobS3DataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Provides information about the location of input data.

func (LabelingJobDataSource) String added in v0.6.0 

func (s LabelingJobDataSource) String() string

String returns the string representation

func (*LabelingJobDataSource) Validate added in v0.6.0 

func (s *LabelingJobDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobForWorkteamSummary added in v0.6.0 

type LabelingJobForWorkteamSummary struct {

	// The date and time that the labeling job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// A unique identifier for a labeling job. You can use this to refer to a specific
	// labeling job.
	//
	// JobReferenceCode is a required field
	JobReferenceCode *string `min:"1" type:"string" required:"true"`

	// Provides information about the progress of a labeling job.
	LabelCounters *LabelCountersForWorkteam `type:"structure"`

	// The name of the labeling job that the work team is assigned to.
	LabelingJobName *string `min:"1" type:"string"`

	// The configured number of workers per data object.
	NumberOfHumanWorkersPerDataObject *int64 `min:"1" type:"integer"`

	// WorkRequesterAccountId is a required field
	WorkRequesterAccountId *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for a work team.

func (LabelingJobForWorkteamSummary) String added in v0.6.0 

func (s LabelingJobForWorkteamSummary) String() string

String returns the string representation

type LabelingJobInputConfig added in v0.6.0 

type LabelingJobInputConfig struct {

	// Attributes of the data specified by the customer.
	DataAttributes *LabelingJobDataAttributes `type:"structure"`

	// The location of the input data.
	//
	// DataSource is a required field
	DataSource *LabelingJobDataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Input configuration information for a labeling job.

func (LabelingJobInputConfig) String added in v0.6.0 

func (s LabelingJobInputConfig) String() string

String returns the string representation

func (*LabelingJobInputConfig) Validate added in v0.6.0 

func (s *LabelingJobInputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobOutput added in v0.6.0 

type LabelingJobOutput struct {

	// The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model
	// trained as part of automated data labeling.
	FinalActiveLearningModelArn *string `min:"20" type:"string"`

	// The Amazon S3 bucket location of the manifest file for labeled data.
	//
	// OutputDatasetS3Uri is a required field
	OutputDatasetS3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies the location of the output produced by the labeling job.

func (LabelingJobOutput) String added in v0.6.0 

func (s LabelingJobOutput) String() string

String returns the string representation

type LabelingJobOutputConfig added in v0.6.0 

type LabelingJobOutputConfig struct {

	// The AWS Key Management Service ID of the key used to encrypt the output data,
	// if any.
	//
	// If you use a KMS key ID or an alias of your master key, the Amazon SageMaker
	// execution role must include permissions to call kms:Encrypt. If you don't
	// provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon
	// S3 for your role's account. Amazon SageMaker uses server-side encryption
	// with KMS-managed keys for LabelingJobOutputConfig. If you use a bucket policy
	// with an s3:PutObject permission that only allows objects with server-side
	// encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms".
	// For more information, see KMS-Managed Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in the Amazon Simple Storage Service Developer Guide.
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateLabelingJob request. For more information, see Using Key Policies
	// in AWS KMS (http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// The Amazon S3 location to write output data.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Output configuration information for a labeling job.

func (LabelingJobOutputConfig) String added in v0.6.0 

func (s LabelingJobOutputConfig) String() string

String returns the string representation

func (*LabelingJobOutputConfig) Validate added in v0.6.0 

func (s *LabelingJobOutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobResourceConfig added in v0.6.0 

type LabelingJobResourceConfig struct {

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt data on the storage volume attached to the ML compute instance(s)
	// that run the training job. The VolumeKmsKeyId can be any of the following
	// formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	VolumeKmsKeyId *string `type:"string"`
	// contains filtered or unexported fields
}

Provides configuration information for labeling jobs.

func (LabelingJobResourceConfig) String added in v0.6.0 

func (s LabelingJobResourceConfig) String() string

String returns the string representation

type LabelingJobS3DataSource added in v0.6.0 

type LabelingJobS3DataSource struct {

	// The Amazon S3 location of the manifest file that describes the input data
	// objects.
	//
	// ManifestS3Uri is a required field
	ManifestS3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

The Amazon S3 location of the input data objects.

func (LabelingJobS3DataSource) String added in v0.6.0 

func (s LabelingJobS3DataSource) String() string

String returns the string representation

func (*LabelingJobS3DataSource) Validate added in v0.6.0 

func (s *LabelingJobS3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobStatus added in v0.6.0 

type LabelingJobStatus string
const (
	LabelingJobStatusInProgress LabelingJobStatus = "InProgress"
	LabelingJobStatusCompleted  LabelingJobStatus = "Completed"
	LabelingJobStatusFailed     LabelingJobStatus = "Failed"
	LabelingJobStatusStopping   LabelingJobStatus = "Stopping"
	LabelingJobStatusStopped    LabelingJobStatus = "Stopped"
)

Enum values for LabelingJobStatus

func (LabelingJobStatus) MarshalValue added in v0.6.0 

func (enum LabelingJobStatus) MarshalValue() (string, error)

func (LabelingJobStatus) MarshalValueBuf added in v0.6.0 

func (enum LabelingJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type LabelingJobStoppingConditions added in v0.6.0 

type LabelingJobStoppingConditions struct {

	// The maximum number of objects that can be labeled by human workers.
	MaxHumanLabeledObjectCount *int64 `min:"1" type:"integer"`

	// The maximum number of input data objects that should be labeled.
	MaxPercentageOfInputDatasetLabeled *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.

func (LabelingJobStoppingConditions) String added in v0.6.0 

func (s LabelingJobStoppingConditions) String() string

String returns the string representation

func (*LabelingJobStoppingConditions) Validate added in v0.6.0 

func (s *LabelingJobStoppingConditions) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type LabelingJobSummary added in v0.6.0 

type LabelingJobSummary struct {

	// The Amazon Resource Name (ARN) of the Lambda function used to consolidate
	// the annotations from individual workers into a label for a data object. For
	// more information, see Annotation Consolidation (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-annotation-consolidation.html).
	AnnotationConsolidationLambdaArn *string `type:"string"`

	// The date and time that the job was created (timestamp).
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the LabelingJobStatus field is Failed, this field contains a description
	// of the error.
	FailureReason *string `type:"string"`

	// Input configuration for the labeling job.
	InputConfig *LabelingJobInputConfig `type:"structure"`

	// Counts showing the progress of the labeling job.
	//
	// LabelCounters is a required field
	LabelCounters *LabelCounters `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
	//
	// LabelingJobArn is a required field
	LabelingJobArn *string `type:"string" required:"true"`

	// The name of the labeling job.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`

	// The location of the output produced by the labeling job.
	LabelingJobOutput *LabelingJobOutput `type:"structure"`

	// The current status of the labeling job.
	//
	// LabelingJobStatus is a required field
	LabelingJobStatus LabelingJobStatus `type:"string" required:"true" enum:"true"`

	// The date and time that the job was last modified (timestamp).
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of a Lambda function. The function is run
	// before each data object is sent to a worker.
	//
	// PreHumanTaskLambdaArn is a required field
	PreHumanTaskLambdaArn *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the work team assigned to the job.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a labeling job.

func (LabelingJobSummary) String added in v0.6.0 

func (s LabelingJobSummary) String() string

String returns the string representation

type ListAlgorithmsInput added in v0.6.0 

type ListAlgorithmsInput struct {

	// A filter that returns only algorithms created after the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only algorithms created before the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of algorithms to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the algorithm name. This filter returns only algorithms whose
	// name contains the specified string.
	NameContains *string `type:"string"`

	// If the response to a previous ListAlgorithms request was truncated, the response
	// includes a NextToken. To retrieve the next set of algorithms, use the token
	// in the next request.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is CreationTime.
	SortBy AlgorithmSortBy `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListAlgorithmsInput) String added in v0.6.0 

func (s ListAlgorithmsInput) String() string

String returns the string representation

func (*ListAlgorithmsInput) Validate added in v0.6.0 

func (s *ListAlgorithmsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListAlgorithmsOutput added in v0.6.0 

type ListAlgorithmsOutput struct {

	// >An array of AlgorithmSummary objects, each of which lists an algorithm.
	//
	// AlgorithmSummaryList is a required field
	AlgorithmSummaryList []AlgorithmSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of algorithms, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListAlgorithmsOutput) String added in v0.6.0 

func (s ListAlgorithmsOutput) String() string

String returns the string representation

type ListAlgorithmsRequest added in v0.6.0 

type ListAlgorithmsRequest struct {
	*aws.Request
	Input *ListAlgorithmsInput
	Copy  func(*ListAlgorithmsInput) ListAlgorithmsRequest
}

ListAlgorithmsRequest is the request type for the ListAlgorithms API operation.

func (ListAlgorithmsRequest) Send added in v0.6.0 

func (r ListAlgorithmsRequest) Send(ctx context.Context) (*ListAlgorithmsResponse, error)

Send marshals and sends the ListAlgorithms API request.

type ListAlgorithmsResponse added in v0.9.0 

type ListAlgorithmsResponse struct {
	*ListAlgorithmsOutput
	// contains filtered or unexported fields
}

ListAlgorithmsResponse is the response type for the ListAlgorithms API operation.

func (*ListAlgorithmsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListAlgorithmsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListAlgorithms request.

type ListCodeRepositoriesInput added in v0.6.0 

type ListCodeRepositoriesInput struct {

	// A filter that returns only Git repositories that were created after the specified
	// time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only Git repositories that were created before the
	// specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only Git repositories that were last modified after
	// the specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only Git repositories that were last modified before
	// the specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of Git repositories to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the Git repositories name. This filter returns only repositories
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of a ListCodeRepositoriesOutput request was truncated, the
	// response includes a NextToken. To get the next set of Git repositories, use
	// the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is Name.
	SortBy CodeRepositorySortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder CodeRepositorySortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListCodeRepositoriesInput) String added in v0.6.0 

func (s ListCodeRepositoriesInput) String() string

String returns the string representation

func (*ListCodeRepositoriesInput) Validate added in v0.6.0 

func (s *ListCodeRepositoriesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListCodeRepositoriesOutput added in v0.6.0 

type ListCodeRepositoriesOutput struct {

	// Gets a list of summaries of the Git repositories. Each summary specifies
	// the following values for the repository:
	//
	//    * Name
	//
	//    * Amazon Resource Name (ARN)
	//
	//    * Creation time
	//
	//    * Last modified time
	//
	//    * Configuration information, including the URL location of the repository
	//    and the ARN of the AWS Secrets Manager secret that contains the credentials
	//    used to access the repository.
	//
	// CodeRepositorySummaryList is a required field
	CodeRepositorySummaryList []CodeRepositorySummary `type:"list" required:"true"`

	// If the result of a ListCodeRepositoriesOutput request was truncated, the
	// response includes a NextToken. To get the next set of Git repositories, use
	// the token in the next request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListCodeRepositoriesOutput) String added in v0.6.0 

func (s ListCodeRepositoriesOutput) String() string

String returns the string representation

type ListCodeRepositoriesRequest added in v0.6.0 

type ListCodeRepositoriesRequest struct {
	*aws.Request
	Input *ListCodeRepositoriesInput
	Copy  func(*ListCodeRepositoriesInput) ListCodeRepositoriesRequest
}

ListCodeRepositoriesRequest is the request type for the ListCodeRepositories API operation.

func (ListCodeRepositoriesRequest) Send added in v0.6.0 

func (r ListCodeRepositoriesRequest) Send(ctx context.Context) (*ListCodeRepositoriesResponse, error)

Send marshals and sends the ListCodeRepositories API request.

type ListCodeRepositoriesResponse added in v0.9.0 

type ListCodeRepositoriesResponse struct {
	*ListCodeRepositoriesOutput
	// contains filtered or unexported fields
}

ListCodeRepositoriesResponse is the response type for the ListCodeRepositories API operation.

func (*ListCodeRepositoriesResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListCodeRepositoriesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListCodeRepositories request.

type ListCompilationJobsInput added in v0.6.0 

type ListCompilationJobsInput struct {

	// A filter that returns the model compilation jobs that were created after
	// a specified time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns the model compilation jobs that were created before
	// a specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns the model compilation jobs that were modified after
	// a specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns the model compilation jobs that were modified before
	// a specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of model compilation jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A filter that returns the model compilation jobs whose name contains a specified
	// string.
	NameContains *string `type:"string"`

	// If the result of the previous ListCompilationJobs request was truncated,
	// the response includes a NextToken. To retrieve the next set of model compilation
	// jobs, use the token in the next request.
	NextToken *string `type:"string"`

	// The field by which to sort results. The default is CreationTime.
	SortBy ListCompilationJobsSortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves model compilation jobs with a specific DescribeCompilationJobResponse$CompilationJobStatus
	// status.
	StatusEquals CompilationJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListCompilationJobsInput) String added in v0.6.0 

func (s ListCompilationJobsInput) String() string

String returns the string representation

func (*ListCompilationJobsInput) Validate added in v0.6.0 

func (s *ListCompilationJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListCompilationJobsOutput added in v0.6.0 

type ListCompilationJobsOutput struct {

	// An array of CompilationJobSummary objects, each describing a model compilation
	// job.
	//
	// CompilationJobSummaries is a required field
	CompilationJobSummaries []CompilationJobSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this NextToken. To
	// retrieve the next set of model compilation jobs, use this token in the next
	// request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListCompilationJobsOutput) String added in v0.6.0 

func (s ListCompilationJobsOutput) String() string

String returns the string representation

type ListCompilationJobsPaginator added in v0.9.0 

type ListCompilationJobsPaginator struct {
	aws.Pager
}

ListCompilationJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListCompilationJobsPaginator added in v0.9.0 

func NewListCompilationJobsPaginator(req ListCompilationJobsRequest) ListCompilationJobsPaginator

NewListCompilationJobsRequestPaginator returns a paginator for ListCompilationJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListCompilationJobsRequest(input)
p := sagemaker.NewListCompilationJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListCompilationJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListCompilationJobsPaginator) CurrentPage() *ListCompilationJobsOutput

type ListCompilationJobsRequest added in v0.6.0 

type ListCompilationJobsRequest struct {
	*aws.Request
	Input *ListCompilationJobsInput
	Copy  func(*ListCompilationJobsInput) ListCompilationJobsRequest
}

ListCompilationJobsRequest is the request type for the ListCompilationJobs API operation.

func (ListCompilationJobsRequest) Send added in v0.6.0 

func (r ListCompilationJobsRequest) Send(ctx context.Context) (*ListCompilationJobsResponse, error)

Send marshals and sends the ListCompilationJobs API request.

type ListCompilationJobsResponse added in v0.9.0 

type ListCompilationJobsResponse struct {
	*ListCompilationJobsOutput
	// contains filtered or unexported fields
}

ListCompilationJobsResponse is the response type for the ListCompilationJobs API operation.

func (*ListCompilationJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListCompilationJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListCompilationJobs request.

type ListCompilationJobsSortBy added in v0.7.0 

type ListCompilationJobsSortBy string
const (
	ListCompilationJobsSortByName         ListCompilationJobsSortBy = "Name"
	ListCompilationJobsSortByCreationTime ListCompilationJobsSortBy = "CreationTime"
	ListCompilationJobsSortByStatus       ListCompilationJobsSortBy = "Status"
)

Enum values for ListCompilationJobsSortBy

func (ListCompilationJobsSortBy) MarshalValue added in v0.7.0 

func (enum ListCompilationJobsSortBy) MarshalValue() (string, error)

func (ListCompilationJobsSortBy) MarshalValueBuf added in v0.7.0 

func (enum ListCompilationJobsSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type ListEndpointConfigsInput 

type ListEndpointConfigsInput struct {

	// A filter that returns only endpoint configurations with a creation time greater
	// than or equal to the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only endpoint configurations created before the specified
	// time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of training jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the endpoint configuration name. This filter returns only endpoint
	// configurations whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListEndpointConfig request was truncated, the
	// response includes a NextToken. To retrieve the next set of endpoint configurations,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy EndpointConfigSortKey `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder OrderKey `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListEndpointConfigsInput) String 

func (s ListEndpointConfigsInput) String() string

String returns the string representation

func (*ListEndpointConfigsInput) Validate 

func (s *ListEndpointConfigsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListEndpointConfigsOutput 

type ListEndpointConfigsOutput struct {

	// An array of endpoint configurations.
	//
	// EndpointConfigs is a required field
	EndpointConfigs []EndpointConfigSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of endpoint configurations, use it in the subsequent request
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListEndpointConfigsOutput) String 

func (s ListEndpointConfigsOutput) String() string

String returns the string representation

type ListEndpointConfigsPaginator added in v0.9.0 

type ListEndpointConfigsPaginator struct {
	aws.Pager
}

ListEndpointConfigsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListEndpointConfigsPaginator added in v0.9.0 

func NewListEndpointConfigsPaginator(req ListEndpointConfigsRequest) ListEndpointConfigsPaginator

NewListEndpointConfigsRequestPaginator returns a paginator for ListEndpointConfigs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListEndpointConfigsRequest(input)
p := sagemaker.NewListEndpointConfigsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListEndpointConfigsPaginator) CurrentPage added in v0.9.0 

func (p *ListEndpointConfigsPaginator) CurrentPage() *ListEndpointConfigsOutput

type ListEndpointConfigsRequest 

type ListEndpointConfigsRequest struct {
	*aws.Request
	Input *ListEndpointConfigsInput
	Copy  func(*ListEndpointConfigsInput) ListEndpointConfigsRequest
}

ListEndpointConfigsRequest is the request type for the ListEndpointConfigs API operation.

func (ListEndpointConfigsRequest) Send 

func (r ListEndpointConfigsRequest) Send(ctx context.Context) (*ListEndpointConfigsResponse, error)

Send marshals and sends the ListEndpointConfigs API request.

type ListEndpointConfigsResponse added in v0.9.0 

type ListEndpointConfigsResponse struct {
	*ListEndpointConfigsOutput
	// contains filtered or unexported fields
}

ListEndpointConfigsResponse is the response type for the ListEndpointConfigs API operation.

func (*ListEndpointConfigsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListEndpointConfigsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListEndpointConfigs request.

type ListEndpointsInput 

type ListEndpointsInput struct {

	// A filter that returns only endpoints with a creation time greater than or
	// equal to the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only endpoints that were created before the specified
	// time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only endpoints that were modified after the specified
	// timestamp.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only endpoints that were modified before the specified
	// timestamp.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of endpoints to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in endpoint names. This filter returns only endpoints whose name
	// contains the specified string.
	NameContains *string `type:"string"`

	// If the result of a ListEndpoints request was truncated, the response includes
	// a NextToken. To retrieve the next set of endpoints, use the token in the
	// next request.
	NextToken *string `type:"string"`

	// Sorts the list of results. The default is CreationTime.
	SortBy EndpointSortKey `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder OrderKey `type:"string" enum:"true"`

	// A filter that returns only endpoints with the specified status.
	StatusEquals EndpointStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListEndpointsInput) String 

func (s ListEndpointsInput) String() string

String returns the string representation

func (*ListEndpointsInput) Validate 

func (s *ListEndpointsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListEndpointsOutput 

type ListEndpointsOutput struct {

	// An array or endpoint objects.
	//
	// Endpoints is a required field
	Endpoints []EndpointSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of training jobs, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListEndpointsOutput) String 

func (s ListEndpointsOutput) String() string

String returns the string representation

type ListEndpointsPaginator added in v0.9.0 

type ListEndpointsPaginator struct {
	aws.Pager
}

ListEndpointsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListEndpointsPaginator added in v0.9.0 

func NewListEndpointsPaginator(req ListEndpointsRequest) ListEndpointsPaginator

NewListEndpointsRequestPaginator returns a paginator for ListEndpoints. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListEndpointsRequest(input)
p := sagemaker.NewListEndpointsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListEndpointsPaginator) CurrentPage added in v0.9.0 

func (p *ListEndpointsPaginator) CurrentPage() *ListEndpointsOutput

type ListEndpointsRequest 

type ListEndpointsRequest struct {
	*aws.Request
	Input *ListEndpointsInput
	Copy  func(*ListEndpointsInput) ListEndpointsRequest
}

ListEndpointsRequest is the request type for the ListEndpoints API operation.

func (ListEndpointsRequest) Send 

func (r ListEndpointsRequest) Send(ctx context.Context) (*ListEndpointsResponse, error)

Send marshals and sends the ListEndpoints API request.

type ListEndpointsResponse added in v0.9.0 

type ListEndpointsResponse struct {
	*ListEndpointsOutput
	// contains filtered or unexported fields
}

ListEndpointsResponse is the response type for the ListEndpoints API operation.

func (*ListEndpointsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListEndpointsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListEndpoints request.

type ListHyperParameterTuningJobsInput added in v0.5.0 

type ListHyperParameterTuningJobsInput struct {

	// A filter that returns only tuning jobs that were created after the specified
	// time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only tuning jobs that were created before the specified
	// time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only tuning jobs that were modified after the specified
	// time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only tuning jobs that were modified before the specified
	// time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of tuning jobs to return. The default value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the tuning job name. This filter returns only tuning jobs whose
	// name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListHyperParameterTuningJobs request was truncated,
	// the response includes a NextToken. To retrieve the next set of tuning jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is Name.
	SortBy HyperParameterTuningJobSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only tuning jobs with the specified status.
	StatusEquals HyperParameterTuningJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListHyperParameterTuningJobsInput) String added in v0.5.0 

func (s ListHyperParameterTuningJobsInput) String() string

String returns the string representation

func (*ListHyperParameterTuningJobsInput) Validate added in v0.5.0 

func (s *ListHyperParameterTuningJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListHyperParameterTuningJobsOutput added in v0.5.0 

type ListHyperParameterTuningJobsOutput struct {

	// A list of HyperParameterTuningJobSummary objects that describe the tuning
	// jobs that the ListHyperParameterTuningJobs request returned.
	//
	// HyperParameterTuningJobSummaries is a required field
	HyperParameterTuningJobSummaries []HyperParameterTuningJobSummary `type:"list" required:"true"`

	// If the result of this ListHyperParameterTuningJobs request was truncated,
	// the response includes a NextToken. To retrieve the next set of tuning jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListHyperParameterTuningJobsOutput) String added in v0.5.0 

func (s ListHyperParameterTuningJobsOutput) String() string

String returns the string representation

type ListHyperParameterTuningJobsPaginator added in v0.9.0 

type ListHyperParameterTuningJobsPaginator struct {
	aws.Pager
}

ListHyperParameterTuningJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListHyperParameterTuningJobsPaginator added in v0.9.0 

func NewListHyperParameterTuningJobsPaginator(req ListHyperParameterTuningJobsRequest) ListHyperParameterTuningJobsPaginator

NewListHyperParameterTuningJobsRequestPaginator returns a paginator for ListHyperParameterTuningJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListHyperParameterTuningJobsRequest(input)
p := sagemaker.NewListHyperParameterTuningJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListHyperParameterTuningJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListHyperParameterTuningJobsPaginator) CurrentPage() *ListHyperParameterTuningJobsOutput

type ListHyperParameterTuningJobsRequest added in v0.5.0 

type ListHyperParameterTuningJobsRequest struct {
	*aws.Request
	Input *ListHyperParameterTuningJobsInput
	Copy  func(*ListHyperParameterTuningJobsInput) ListHyperParameterTuningJobsRequest
}

ListHyperParameterTuningJobsRequest is the request type for the ListHyperParameterTuningJobs API operation.

func (ListHyperParameterTuningJobsRequest) Send added in v0.5.0 

func (r ListHyperParameterTuningJobsRequest) Send(ctx context.Context) (*ListHyperParameterTuningJobsResponse, error)

Send marshals and sends the ListHyperParameterTuningJobs API request.

type ListHyperParameterTuningJobsResponse added in v0.9.0 

type ListHyperParameterTuningJobsResponse struct {
	*ListHyperParameterTuningJobsOutput
	// contains filtered or unexported fields
}

ListHyperParameterTuningJobsResponse is the response type for the ListHyperParameterTuningJobs API operation.

func (*ListHyperParameterTuningJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListHyperParameterTuningJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListHyperParameterTuningJobs request.

type ListLabelingJobsForWorkteamInput added in v0.6.0 

type ListLabelingJobsForWorkteamInput struct {

	// A filter that returns only labeling jobs created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter the limits jobs to only the ones whose job reference code contains
	// the specified string.
	JobReferenceCodeContains *string `min:"1" type:"string"`

	// The maximum number of labeling jobs to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the result of the previous ListLabelingJobsForWorkteam request was truncated,
	// the response includes a NextToken. To retrieve the next set of labeling jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy ListLabelingJobsForWorkteamSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// The Amazon Resource Name (ARN) of the work team for which you want to see
	// labeling jobs for.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsForWorkteamInput) String added in v0.6.0 

func (s ListLabelingJobsForWorkteamInput) String() string

String returns the string representation

func (*ListLabelingJobsForWorkteamInput) Validate added in v0.6.0 

func (s *ListLabelingJobsForWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListLabelingJobsForWorkteamOutput added in v0.6.0 

type ListLabelingJobsForWorkteamOutput struct {

	// An array of LabelingJobSummary objects, each describing a labeling job.
	//
	// LabelingJobSummaryList is a required field
	LabelingJobSummaryList []LabelingJobForWorkteamSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of labeling jobs, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsForWorkteamOutput) String added in v0.6.0 

func (s ListLabelingJobsForWorkteamOutput) String() string

String returns the string representation

type ListLabelingJobsForWorkteamPaginator added in v0.9.0 

type ListLabelingJobsForWorkteamPaginator struct {
	aws.Pager
}

ListLabelingJobsForWorkteamPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListLabelingJobsForWorkteamPaginator added in v0.9.0 

func NewListLabelingJobsForWorkteamPaginator(req ListLabelingJobsForWorkteamRequest) ListLabelingJobsForWorkteamPaginator

NewListLabelingJobsForWorkteamRequestPaginator returns a paginator for ListLabelingJobsForWorkteam. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListLabelingJobsForWorkteamRequest(input)
p := sagemaker.NewListLabelingJobsForWorkteamRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListLabelingJobsForWorkteamPaginator) CurrentPage added in v0.9.0 

func (p *ListLabelingJobsForWorkteamPaginator) CurrentPage() *ListLabelingJobsForWorkteamOutput

type ListLabelingJobsForWorkteamRequest added in v0.6.0 

type ListLabelingJobsForWorkteamRequest struct {
	*aws.Request
	Input *ListLabelingJobsForWorkteamInput
	Copy  func(*ListLabelingJobsForWorkteamInput) ListLabelingJobsForWorkteamRequest
}

ListLabelingJobsForWorkteamRequest is the request type for the ListLabelingJobsForWorkteam API operation.

func (ListLabelingJobsForWorkteamRequest) Send added in v0.6.0 

func (r ListLabelingJobsForWorkteamRequest) Send(ctx context.Context) (*ListLabelingJobsForWorkteamResponse, error)

Send marshals and sends the ListLabelingJobsForWorkteam API request.

type ListLabelingJobsForWorkteamResponse added in v0.9.0 

type ListLabelingJobsForWorkteamResponse struct {
	*ListLabelingJobsForWorkteamOutput
	// contains filtered or unexported fields
}

ListLabelingJobsForWorkteamResponse is the response type for the ListLabelingJobsForWorkteam API operation.

func (*ListLabelingJobsForWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListLabelingJobsForWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListLabelingJobsForWorkteam request.

type ListLabelingJobsForWorkteamSortByOptions added in v0.6.0 

type ListLabelingJobsForWorkteamSortByOptions string
const (
	ListLabelingJobsForWorkteamSortByOptionsCreationTime ListLabelingJobsForWorkteamSortByOptions = "CreationTime"
)

Enum values for ListLabelingJobsForWorkteamSortByOptions

func (ListLabelingJobsForWorkteamSortByOptions) MarshalValue added in v0.6.0 

func (enum ListLabelingJobsForWorkteamSortByOptions) MarshalValue() (string, error)

func (ListLabelingJobsForWorkteamSortByOptions) MarshalValueBuf added in v0.6.0 

func (enum ListLabelingJobsForWorkteamSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type ListLabelingJobsInput added in v0.6.0 

type ListLabelingJobsInput struct {

	// A filter that returns only labeling jobs created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs modified after the specified time
	// (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only labeling jobs modified before the specified time
	// (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of labeling jobs to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the labeling job name. This filter returns only labeling jobs
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListLabelingJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of labeling jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only labeling jobs with a specific status.
	StatusEquals LabelingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsInput) String added in v0.6.0 

func (s ListLabelingJobsInput) String() string

String returns the string representation

func (*ListLabelingJobsInput) Validate added in v0.6.0 

func (s *ListLabelingJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListLabelingJobsOutput added in v0.6.0 

type ListLabelingJobsOutput struct {

	// An array of LabelingJobSummary objects, each describing a labeling job.
	LabelingJobSummaryList []LabelingJobSummary `type:"list"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of labeling jobs, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListLabelingJobsOutput) String added in v0.6.0 

func (s ListLabelingJobsOutput) String() string

String returns the string representation

type ListLabelingJobsPaginator added in v0.9.0 

type ListLabelingJobsPaginator struct {
	aws.Pager
}

ListLabelingJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListLabelingJobsPaginator added in v0.9.0 

func NewListLabelingJobsPaginator(req ListLabelingJobsRequest) ListLabelingJobsPaginator

NewListLabelingJobsRequestPaginator returns a paginator for ListLabelingJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListLabelingJobsRequest(input)
p := sagemaker.NewListLabelingJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListLabelingJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListLabelingJobsPaginator) CurrentPage() *ListLabelingJobsOutput

type ListLabelingJobsRequest added in v0.6.0 

type ListLabelingJobsRequest struct {
	*aws.Request
	Input *ListLabelingJobsInput
	Copy  func(*ListLabelingJobsInput) ListLabelingJobsRequest
}

ListLabelingJobsRequest is the request type for the ListLabelingJobs API operation.

func (ListLabelingJobsRequest) Send added in v0.6.0 

func (r ListLabelingJobsRequest) Send(ctx context.Context) (*ListLabelingJobsResponse, error)

Send marshals and sends the ListLabelingJobs API request.

type ListLabelingJobsResponse added in v0.9.0 

type ListLabelingJobsResponse struct {
	*ListLabelingJobsOutput
	// contains filtered or unexported fields
}

ListLabelingJobsResponse is the response type for the ListLabelingJobs API operation.

func (*ListLabelingJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListLabelingJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListLabelingJobs request.

type ListModelPackagesInput added in v0.6.0 

type ListModelPackagesInput struct {

	// A filter that returns only model packages created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only model packages created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of model packages to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the model package name. This filter returns only model packages
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the response to a previous ListModelPackages request was truncated, the
	// response includes a NextToken. To retrieve the next set of model packages,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The parameter by which to sort the results. The default is CreationTime.
	SortBy ModelPackageSortBy `type:"string" enum:"true"`

	// The sort order for the results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListModelPackagesInput) String added in v0.6.0 

func (s ListModelPackagesInput) String() string

String returns the string representation

func (*ListModelPackagesInput) Validate added in v0.6.0 

func (s *ListModelPackagesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListModelPackagesOutput added in v0.6.0 

type ListModelPackagesOutput struct {

	// An array of ModelPackageSummary objects, each of which lists a model package.
	//
	// ModelPackageSummaryList is a required field
	ModelPackageSummaryList []ModelPackageSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of model packages, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListModelPackagesOutput) String added in v0.6.0 

func (s ListModelPackagesOutput) String() string

String returns the string representation

type ListModelPackagesRequest added in v0.6.0 

type ListModelPackagesRequest struct {
	*aws.Request
	Input *ListModelPackagesInput
	Copy  func(*ListModelPackagesInput) ListModelPackagesRequest
}

ListModelPackagesRequest is the request type for the ListModelPackages API operation.

func (ListModelPackagesRequest) Send added in v0.6.0 

func (r ListModelPackagesRequest) Send(ctx context.Context) (*ListModelPackagesResponse, error)

Send marshals and sends the ListModelPackages API request.

type ListModelPackagesResponse added in v0.9.0 

type ListModelPackagesResponse struct {
	*ListModelPackagesOutput
	// contains filtered or unexported fields
}

ListModelPackagesResponse is the response type for the ListModelPackages API operation.

func (*ListModelPackagesResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListModelPackagesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListModelPackages request.

type ListModelsInput 

type ListModelsInput struct {

	// A filter that returns only models with a creation time greater than or equal
	// to the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only models created before the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of models to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the training job name. This filter returns only models in the
	// training job whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the response to a previous ListModels request was truncated, the response
	// includes a NextToken. To retrieve the next set of models, use the token in
	// the next request.
	NextToken *string `type:"string"`

	// Sorts the list of results. The default is CreationTime.
	SortBy ModelSortKey `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder OrderKey `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListModelsInput) String 

func (s ListModelsInput) String() string

String returns the string representation

func (*ListModelsInput) Validate 

func (s *ListModelsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListModelsOutput 

type ListModelsOutput struct {

	// An array of ModelSummary objects, each of which lists a model.
	//
	// Models is a required field
	Models []ModelSummary `type:"list" required:"true"`

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of models, use it in the subsequent request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListModelsOutput) String 

func (s ListModelsOutput) String() string

String returns the string representation

type ListModelsPaginator added in v0.9.0 

type ListModelsPaginator struct {
	aws.Pager
}

ListModelsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListModelsPaginator added in v0.9.0 

func NewListModelsPaginator(req ListModelsRequest) ListModelsPaginator

NewListModelsRequestPaginator returns a paginator for ListModels. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListModelsRequest(input)
p := sagemaker.NewListModelsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListModelsPaginator) CurrentPage added in v0.9.0 

func (p *ListModelsPaginator) CurrentPage() *ListModelsOutput

type ListModelsRequest 

type ListModelsRequest struct {
	*aws.Request
	Input *ListModelsInput
	Copy  func(*ListModelsInput) ListModelsRequest
}

ListModelsRequest is the request type for the ListModels API operation.

func (ListModelsRequest) Send 

func (r ListModelsRequest) Send(ctx context.Context) (*ListModelsResponse, error)

Send marshals and sends the ListModels API request.

type ListModelsResponse added in v0.9.0 

type ListModelsResponse struct {
	*ListModelsOutput
	// contains filtered or unexported fields
}

ListModelsResponse is the response type for the ListModels API operation.

func (*ListModelsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListModelsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListModels request.

type ListNotebookInstanceLifecycleConfigsInput added in v0.4.0 

type ListNotebookInstanceLifecycleConfigsInput struct {

	// A filter that returns only lifecycle configurations that were created after
	// the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only lifecycle configurations that were created before
	// the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only lifecycle configurations that were modified after
	// the specified time (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only lifecycle configurations that were modified before
	// the specified time (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of lifecycle configurations to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the lifecycle configuration name. This filter returns only lifecycle
	// configurations whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of a ListNotebookInstanceLifecycleConfigs request was truncated,
	// the response includes a NextToken. To get the next set of lifecycle configurations,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// Sorts the list of results. The default is CreationTime.
	SortBy NotebookInstanceLifecycleConfigSortKey `type:"string" enum:"true"`

	// The sort order for results.
	SortOrder NotebookInstanceLifecycleConfigSortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListNotebookInstanceLifecycleConfigsInput) String added in v0.4.0 

func (s ListNotebookInstanceLifecycleConfigsInput) String() string

String returns the string representation

func (*ListNotebookInstanceLifecycleConfigsInput) Validate added in v0.4.0 

func (s *ListNotebookInstanceLifecycleConfigsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListNotebookInstanceLifecycleConfigsOutput added in v0.4.0 

type ListNotebookInstanceLifecycleConfigsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To get
	// the next set of lifecycle configurations, use it in the next request.
	NextToken *string `type:"string"`

	// An array of NotebookInstanceLifecycleConfiguration objects, each listing
	// a lifecycle configuration.
	NotebookInstanceLifecycleConfigs []NotebookInstanceLifecycleConfigSummary `type:"list"`
	// contains filtered or unexported fields
}

func (ListNotebookInstanceLifecycleConfigsOutput) String added in v0.4.0 

func (s ListNotebookInstanceLifecycleConfigsOutput) String() string

String returns the string representation

type ListNotebookInstanceLifecycleConfigsPaginator added in v0.9.0 

type ListNotebookInstanceLifecycleConfigsPaginator struct {
	aws.Pager
}

ListNotebookInstanceLifecycleConfigsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListNotebookInstanceLifecycleConfigsPaginator added in v0.9.0 

func NewListNotebookInstanceLifecycleConfigsPaginator(req ListNotebookInstanceLifecycleConfigsRequest) ListNotebookInstanceLifecycleConfigsPaginator

NewListNotebookInstanceLifecycleConfigsRequestPaginator returns a paginator for ListNotebookInstanceLifecycleConfigs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListNotebookInstanceLifecycleConfigsRequest(input)
p := sagemaker.NewListNotebookInstanceLifecycleConfigsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListNotebookInstanceLifecycleConfigsPaginator) CurrentPage added in v0.9.0 

func (p *ListNotebookInstanceLifecycleConfigsPaginator) CurrentPage() *ListNotebookInstanceLifecycleConfigsOutput

type ListNotebookInstanceLifecycleConfigsRequest added in v0.4.0 

type ListNotebookInstanceLifecycleConfigsRequest struct {
	*aws.Request
	Input *ListNotebookInstanceLifecycleConfigsInput
	Copy  func(*ListNotebookInstanceLifecycleConfigsInput) ListNotebookInstanceLifecycleConfigsRequest
}

ListNotebookInstanceLifecycleConfigsRequest is the request type for the ListNotebookInstanceLifecycleConfigs API operation.

func (ListNotebookInstanceLifecycleConfigsRequest) Send added in v0.4.0 

func (r ListNotebookInstanceLifecycleConfigsRequest) Send(ctx context.Context) (*ListNotebookInstanceLifecycleConfigsResponse, error)

Send marshals and sends the ListNotebookInstanceLifecycleConfigs API request.

type ListNotebookInstanceLifecycleConfigsResponse added in v0.9.0 

type ListNotebookInstanceLifecycleConfigsResponse struct {
	*ListNotebookInstanceLifecycleConfigsOutput
	// contains filtered or unexported fields
}

ListNotebookInstanceLifecycleConfigsResponse is the response type for the ListNotebookInstanceLifecycleConfigs API operation.

func (*ListNotebookInstanceLifecycleConfigsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListNotebookInstanceLifecycleConfigsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListNotebookInstanceLifecycleConfigs request.

type ListNotebookInstancesInput 

type ListNotebookInstancesInput struct {

	// A filter that returns only notebook instances with associated with the specified
	// git repository.
	AdditionalCodeRepositoryEquals *string `min:"1" type:"string"`

	// A filter that returns only notebook instances that were created after the
	// specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only notebook instances that were created before the
	// specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A string in the name or URL of a Git repository associated with this notebook
	// instance. This filter returns only notebook instances associated with a git
	// repository with a name that contains the specified string.
	DefaultCodeRepositoryContains *string `type:"string"`

	// A filter that returns only notebook instances that were modified after the
	// specified time (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only notebook instances that were modified before the
	// specified time (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of notebook instances to return.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the notebook instances' name. This filter returns only notebook
	// instances whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the previous call to the ListNotebookInstances is truncated, the response
	// includes a NextToken. You can use this token in your subsequent ListNotebookInstances
	// request to fetch the next set of notebook instances.
	//
	// You might specify a filter or a sort order in your request. When response
	// is truncated, you must use the same values for the filer and sort order in
	// the next request.
	NextToken *string `type:"string"`

	// A string in the name of a notebook instances lifecycle configuration associated
	// with this notebook instance. This filter returns only notebook instances
	// associated with a lifecycle configuration with a name that contains the specified
	// string.
	NotebookInstanceLifecycleConfigNameContains *string `type:"string"`

	// The field to sort results by. The default is Name.
	SortBy NotebookInstanceSortKey `type:"string" enum:"true"`

	// The sort order for results.
	SortOrder NotebookInstanceSortOrder `type:"string" enum:"true"`

	// A filter that returns only notebook instances with the specified status.
	StatusEquals NotebookInstanceStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListNotebookInstancesInput) String 

func (s ListNotebookInstancesInput) String() string

String returns the string representation

func (*ListNotebookInstancesInput) Validate 

func (s *ListNotebookInstancesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListNotebookInstancesOutput 

type ListNotebookInstancesOutput struct {

	// If the response to the previous ListNotebookInstances request was truncated,
	// Amazon SageMaker returns this token. To retrieve the next set of notebook
	// instances, use the token in the next request.
	NextToken *string `type:"string"`

	// An array of NotebookInstanceSummary objects, one for each notebook instance.
	NotebookInstances []NotebookInstanceSummary `type:"list"`
	// contains filtered or unexported fields
}

func (ListNotebookInstancesOutput) String 

func (s ListNotebookInstancesOutput) String() string

String returns the string representation

type ListNotebookInstancesPaginator added in v0.9.0 

type ListNotebookInstancesPaginator struct {
	aws.Pager
}

ListNotebookInstancesPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListNotebookInstancesPaginator added in v0.9.0 

func NewListNotebookInstancesPaginator(req ListNotebookInstancesRequest) ListNotebookInstancesPaginator

NewListNotebookInstancesRequestPaginator returns a paginator for ListNotebookInstances. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListNotebookInstancesRequest(input)
p := sagemaker.NewListNotebookInstancesRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListNotebookInstancesPaginator) CurrentPage added in v0.9.0 

func (p *ListNotebookInstancesPaginator) CurrentPage() *ListNotebookInstancesOutput

type ListNotebookInstancesRequest 

type ListNotebookInstancesRequest struct {
	*aws.Request
	Input *ListNotebookInstancesInput
	Copy  func(*ListNotebookInstancesInput) ListNotebookInstancesRequest
}

ListNotebookInstancesRequest is the request type for the ListNotebookInstances API operation.

func (ListNotebookInstancesRequest) Send 

func (r ListNotebookInstancesRequest) Send(ctx context.Context) (*ListNotebookInstancesResponse, error)

Send marshals and sends the ListNotebookInstances API request.

type ListNotebookInstancesResponse added in v0.9.0 

type ListNotebookInstancesResponse struct {
	*ListNotebookInstancesOutput
	// contains filtered or unexported fields
}

ListNotebookInstancesResponse is the response type for the ListNotebookInstances API operation.

func (*ListNotebookInstancesResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListNotebookInstancesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListNotebookInstances request.

type ListSubscribedWorkteamsInput added in v0.6.0 

type ListSubscribedWorkteamsInput struct {

	// The maximum number of work teams to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the work team name. This filter returns only work teams whose
	// name contains the specified string.
	NameContains *string `min:"1" type:"string"`

	// If the result of the previous ListSubscribedWorkteams request was truncated,
	// the response includes a NextToken. To retrieve the next set of labeling jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`
	// contains filtered or unexported fields
}

func (ListSubscribedWorkteamsInput) String added in v0.6.0 

func (s ListSubscribedWorkteamsInput) String() string

String returns the string representation

func (*ListSubscribedWorkteamsInput) Validate added in v0.6.0 

func (s *ListSubscribedWorkteamsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListSubscribedWorkteamsOutput added in v0.6.0 

type ListSubscribedWorkteamsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of work teams, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of Workteam objects, each describing a work team.
	//
	// SubscribedWorkteams is a required field
	SubscribedWorkteams []SubscribedWorkteam `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListSubscribedWorkteamsOutput) String added in v0.6.0 

func (s ListSubscribedWorkteamsOutput) String() string

String returns the string representation

type ListSubscribedWorkteamsPaginator added in v0.9.0 

type ListSubscribedWorkteamsPaginator struct {
	aws.Pager
}

ListSubscribedWorkteamsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListSubscribedWorkteamsPaginator added in v0.9.0 

func NewListSubscribedWorkteamsPaginator(req ListSubscribedWorkteamsRequest) ListSubscribedWorkteamsPaginator

NewListSubscribedWorkteamsRequestPaginator returns a paginator for ListSubscribedWorkteams. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListSubscribedWorkteamsRequest(input)
p := sagemaker.NewListSubscribedWorkteamsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListSubscribedWorkteamsPaginator) CurrentPage added in v0.9.0 

func (p *ListSubscribedWorkteamsPaginator) CurrentPage() *ListSubscribedWorkteamsOutput

type ListSubscribedWorkteamsRequest added in v0.6.0 

type ListSubscribedWorkteamsRequest struct {
	*aws.Request
	Input *ListSubscribedWorkteamsInput
	Copy  func(*ListSubscribedWorkteamsInput) ListSubscribedWorkteamsRequest
}

ListSubscribedWorkteamsRequest is the request type for the ListSubscribedWorkteams API operation.

func (ListSubscribedWorkteamsRequest) Send added in v0.6.0 

func (r ListSubscribedWorkteamsRequest) Send(ctx context.Context) (*ListSubscribedWorkteamsResponse, error)

Send marshals and sends the ListSubscribedWorkteams API request.

type ListSubscribedWorkteamsResponse added in v0.9.0 

type ListSubscribedWorkteamsResponse struct {
	*ListSubscribedWorkteamsOutput
	// contains filtered or unexported fields
}

ListSubscribedWorkteamsResponse is the response type for the ListSubscribedWorkteams API operation.

func (*ListSubscribedWorkteamsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListSubscribedWorkteamsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListSubscribedWorkteams request.

type ListTagsInput 

type ListTagsInput struct {

	// Maximum number of tags to return.
	MaxResults *int64 `min:"50" type:"integer"`

	// If the response to the previous ListTags request is truncated, Amazon SageMaker
	// returns this token. To retrieve the next set of tags, use it in the subsequent
	// request.
	NextToken *string `type:"string"`

	// The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (ListTagsInput) String 

func (s ListTagsInput) String() string

String returns the string representation

func (*ListTagsInput) Validate 

func (s *ListTagsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTagsOutput 

type ListTagsOutput struct {

	// If response is truncated, Amazon SageMaker includes a token in the response.
	// You can use this token in your subsequent request to fetch next set of tokens.
	NextToken *string `type:"string"`

	// An array of Tag objects, each with a tag key and a value.
	Tags []Tag `type:"list"`
	// contains filtered or unexported fields
}

func (ListTagsOutput) String 

func (s ListTagsOutput) String() string

String returns the string representation

type ListTagsPaginator added in v0.9.0 

type ListTagsPaginator struct {
	aws.Pager
}

ListTagsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTagsPaginator added in v0.9.0 

func NewListTagsPaginator(req ListTagsRequest) ListTagsPaginator

NewListTagsRequestPaginator returns a paginator for ListTags. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTagsRequest(input)
p := sagemaker.NewListTagsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTagsPaginator) CurrentPage added in v0.9.0 

func (p *ListTagsPaginator) CurrentPage() *ListTagsOutput

type ListTagsRequest 

type ListTagsRequest struct {
	*aws.Request
	Input *ListTagsInput
	Copy  func(*ListTagsInput) ListTagsRequest
}

ListTagsRequest is the request type for the ListTags API operation.

func (ListTagsRequest) Send 

func (r ListTagsRequest) Send(ctx context.Context) (*ListTagsResponse, error)

Send marshals and sends the ListTags API request.

type ListTagsResponse added in v0.9.0 

type ListTagsResponse struct {
	*ListTagsOutput
	// contains filtered or unexported fields
}

ListTagsResponse is the response type for the ListTags API operation.

func (*ListTagsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTagsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTags request.

type ListTrainingJobsForHyperParameterTuningJobInput added in v0.5.0 

type ListTrainingJobsForHyperParameterTuningJobInput struct {

	// The name of the tuning job whose training jobs you want to list.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`

	// The maximum number of training jobs to return. The default value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// If the result of the previous ListTrainingJobsForHyperParameterTuningJob
	// request was truncated, the response includes a NextToken. To retrieve the
	// next set of training jobs, use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is Name.
	//
	// If the value of this field is FinalObjectiveMetricValue, any training jobs
	// that did not return an objective metric are not listed.
	SortBy TrainingJobSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that returns only training jobs with the specified status.
	StatusEquals TrainingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsForHyperParameterTuningJobInput) String added in v0.5.0 

func (s ListTrainingJobsForHyperParameterTuningJobInput) String() string

String returns the string representation

func (*ListTrainingJobsForHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *ListTrainingJobsForHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTrainingJobsForHyperParameterTuningJobOutput added in v0.5.0 

type ListTrainingJobsForHyperParameterTuningJobOutput struct {

	// If the result of this ListTrainingJobsForHyperParameterTuningJob request
	// was truncated, the response includes a NextToken. To retrieve the next set
	// of training jobs, use the token in the next request.
	NextToken *string `type:"string"`

	// A list of TrainingJobSummary objects that describe the training jobs that
	// the ListTrainingJobsForHyperParameterTuningJob request returned.
	//
	// TrainingJobSummaries is a required field
	TrainingJobSummaries []HyperParameterTrainingJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsForHyperParameterTuningJobOutput) String added in v0.5.0 

func (s ListTrainingJobsForHyperParameterTuningJobOutput) String() string

String returns the string representation

type ListTrainingJobsForHyperParameterTuningJobPaginator added in v0.9.0 

type ListTrainingJobsForHyperParameterTuningJobPaginator struct {
	aws.Pager
}

ListTrainingJobsForHyperParameterTuningJobPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTrainingJobsForHyperParameterTuningJobPaginator added in v0.9.0 

func NewListTrainingJobsForHyperParameterTuningJobPaginator(req ListTrainingJobsForHyperParameterTuningJobRequest) ListTrainingJobsForHyperParameterTuningJobPaginator

NewListTrainingJobsForHyperParameterTuningJobRequestPaginator returns a paginator for ListTrainingJobsForHyperParameterTuningJob. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTrainingJobsForHyperParameterTuningJobRequest(input)
p := sagemaker.NewListTrainingJobsForHyperParameterTuningJobRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTrainingJobsForHyperParameterTuningJobPaginator) CurrentPage added in v0.9.0 

func (p *ListTrainingJobsForHyperParameterTuningJobPaginator) CurrentPage() *ListTrainingJobsForHyperParameterTuningJobOutput

type ListTrainingJobsForHyperParameterTuningJobRequest added in v0.5.0 

type ListTrainingJobsForHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *ListTrainingJobsForHyperParameterTuningJobInput
	Copy  func(*ListTrainingJobsForHyperParameterTuningJobInput) ListTrainingJobsForHyperParameterTuningJobRequest
}

ListTrainingJobsForHyperParameterTuningJobRequest is the request type for the ListTrainingJobsForHyperParameterTuningJob API operation.

func (ListTrainingJobsForHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r ListTrainingJobsForHyperParameterTuningJobRequest) Send(ctx context.Context) (*ListTrainingJobsForHyperParameterTuningJobResponse, error)

Send marshals and sends the ListTrainingJobsForHyperParameterTuningJob API request.

type ListTrainingJobsForHyperParameterTuningJobResponse added in v0.9.0 

type ListTrainingJobsForHyperParameterTuningJobResponse struct {
	*ListTrainingJobsForHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

ListTrainingJobsForHyperParameterTuningJobResponse is the response type for the ListTrainingJobsForHyperParameterTuningJob API operation.

func (*ListTrainingJobsForHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTrainingJobsForHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTrainingJobsForHyperParameterTuningJob request.

type ListTrainingJobsInput 

type ListTrainingJobsInput struct {

	// A filter that returns only training jobs created after the specified time
	// (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only training jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only training jobs modified after the specified time
	// (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only training jobs modified before the specified time
	// (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of training jobs to return in the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the training job name. This filter returns only training jobs
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListTrainingJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of training jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only training jobs with a specific status.
	StatusEquals TrainingJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsInput) String 

func (s ListTrainingJobsInput) String() string

String returns the string representation

func (*ListTrainingJobsInput) Validate 

func (s *ListTrainingJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTrainingJobsOutput 

type ListTrainingJobsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of training jobs, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of TrainingJobSummary objects, each listing a training job.
	//
	// TrainingJobSummaries is a required field
	TrainingJobSummaries []TrainingJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListTrainingJobsOutput) String 

func (s ListTrainingJobsOutput) String() string

String returns the string representation

type ListTrainingJobsPaginator added in v0.9.0 

type ListTrainingJobsPaginator struct {
	aws.Pager
}

ListTrainingJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTrainingJobsPaginator added in v0.9.0 

func NewListTrainingJobsPaginator(req ListTrainingJobsRequest) ListTrainingJobsPaginator

NewListTrainingJobsRequestPaginator returns a paginator for ListTrainingJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTrainingJobsRequest(input)
p := sagemaker.NewListTrainingJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTrainingJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListTrainingJobsPaginator) CurrentPage() *ListTrainingJobsOutput

type ListTrainingJobsRequest 

type ListTrainingJobsRequest struct {
	*aws.Request
	Input *ListTrainingJobsInput
	Copy  func(*ListTrainingJobsInput) ListTrainingJobsRequest
}

ListTrainingJobsRequest is the request type for the ListTrainingJobs API operation.

func (ListTrainingJobsRequest) Send 

func (r ListTrainingJobsRequest) Send(ctx context.Context) (*ListTrainingJobsResponse, error)

Send marshals and sends the ListTrainingJobs API request.

type ListTrainingJobsResponse added in v0.9.0 

type ListTrainingJobsResponse struct {
	*ListTrainingJobsOutput
	// contains filtered or unexported fields
}

ListTrainingJobsResponse is the response type for the ListTrainingJobs API operation.

func (*ListTrainingJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTrainingJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTrainingJobs request.

type ListTransformJobsInput added in v0.5.0 

type ListTransformJobsInput struct {

	// A filter that returns only transform jobs created after the specified time.
	CreationTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only transform jobs created before the specified time.
	CreationTimeBefore *time.Time `type:"timestamp"`

	// A filter that returns only transform jobs modified after the specified time.
	LastModifiedTimeAfter *time.Time `type:"timestamp"`

	// A filter that returns only transform jobs modified before the specified time.
	LastModifiedTimeBefore *time.Time `type:"timestamp"`

	// The maximum number of transform jobs to return in the response. The default
	// value is 10.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the transform job name. This filter returns only transform jobs
	// whose name contains the specified string.
	NameContains *string `type:"string"`

	// If the result of the previous ListTransformJobs request was truncated, the
	// response includes a NextToken. To retrieve the next set of transform jobs,
	// use the token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy SortBy `type:"string" enum:"true"`

	// The sort order for results. The default is Descending.
	SortOrder SortOrder `type:"string" enum:"true"`

	// A filter that retrieves only transform jobs with a specific status.
	StatusEquals TransformJobStatus `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListTransformJobsInput) String added in v0.5.0 

func (s ListTransformJobsInput) String() string

String returns the string representation

func (*ListTransformJobsInput) Validate added in v0.5.0 

func (s *ListTransformJobsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListTransformJobsOutput added in v0.5.0 

type ListTransformJobsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of transform jobs, use it in the next request.
	NextToken *string `type:"string"`

	// An array of TransformJobSummary objects.
	//
	// TransformJobSummaries is a required field
	TransformJobSummaries []TransformJobSummary `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListTransformJobsOutput) String added in v0.5.0 

func (s ListTransformJobsOutput) String() string

String returns the string representation

type ListTransformJobsPaginator added in v0.9.0 

type ListTransformJobsPaginator struct {
	aws.Pager
}

ListTransformJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListTransformJobsPaginator added in v0.9.0 

func NewListTransformJobsPaginator(req ListTransformJobsRequest) ListTransformJobsPaginator

NewListTransformJobsRequestPaginator returns a paginator for ListTransformJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListTransformJobsRequest(input)
p := sagemaker.NewListTransformJobsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListTransformJobsPaginator) CurrentPage added in v0.9.0 

func (p *ListTransformJobsPaginator) CurrentPage() *ListTransformJobsOutput

type ListTransformJobsRequest added in v0.5.0 

type ListTransformJobsRequest struct {
	*aws.Request
	Input *ListTransformJobsInput
	Copy  func(*ListTransformJobsInput) ListTransformJobsRequest
}

ListTransformJobsRequest is the request type for the ListTransformJobs API operation.

func (ListTransformJobsRequest) Send added in v0.5.0 

func (r ListTransformJobsRequest) Send(ctx context.Context) (*ListTransformJobsResponse, error)

Send marshals and sends the ListTransformJobs API request.

type ListTransformJobsResponse added in v0.9.0 

type ListTransformJobsResponse struct {
	*ListTransformJobsOutput
	// contains filtered or unexported fields
}

ListTransformJobsResponse is the response type for the ListTransformJobs API operation.

func (*ListTransformJobsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListTransformJobsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListTransformJobs request.

type ListWorkteamsInput added in v0.6.0 

type ListWorkteamsInput struct {

	// The maximum number of work teams to return in each page of the response.
	MaxResults *int64 `min:"1" type:"integer"`

	// A string in the work team's name. This filter returns only work teams whose
	// name contains the specified string.
	NameContains *string `min:"1" type:"string"`

	// If the result of the previous ListWorkteams request was truncated, the response
	// includes a NextToken. To retrieve the next set of labeling jobs, use the
	// token in the next request.
	NextToken *string `type:"string"`

	// The field to sort results by. The default is CreationTime.
	SortBy ListWorkteamsSortByOptions `type:"string" enum:"true"`

	// The sort order for results. The default is Ascending.
	SortOrder SortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (ListWorkteamsInput) String added in v0.6.0 

func (s ListWorkteamsInput) String() string

String returns the string representation

func (*ListWorkteamsInput) Validate added in v0.6.0 

func (s *ListWorkteamsInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ListWorkteamsOutput added in v0.6.0 

type ListWorkteamsOutput struct {

	// If the response is truncated, Amazon SageMaker returns this token. To retrieve
	// the next set of work teams, use it in the subsequent request.
	NextToken *string `type:"string"`

	// An array of Workteam objects, each describing a work team.
	//
	// Workteams is a required field
	Workteams []Workteam `type:"list" required:"true"`
	// contains filtered or unexported fields
}

func (ListWorkteamsOutput) String added in v0.6.0 

func (s ListWorkteamsOutput) String() string

String returns the string representation

type ListWorkteamsPaginator added in v0.9.0 

type ListWorkteamsPaginator struct {
	aws.Pager
}

ListWorkteamsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewListWorkteamsPaginator added in v0.9.0 

func NewListWorkteamsPaginator(req ListWorkteamsRequest) ListWorkteamsPaginator

NewListWorkteamsRequestPaginator returns a paginator for ListWorkteams. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.ListWorkteamsRequest(input)
p := sagemaker.NewListWorkteamsRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*ListWorkteamsPaginator) CurrentPage added in v0.9.0 

func (p *ListWorkteamsPaginator) CurrentPage() *ListWorkteamsOutput

type ListWorkteamsRequest added in v0.6.0 

type ListWorkteamsRequest struct {
	*aws.Request
	Input *ListWorkteamsInput
	Copy  func(*ListWorkteamsInput) ListWorkteamsRequest
}

ListWorkteamsRequest is the request type for the ListWorkteams API operation.

func (ListWorkteamsRequest) Send added in v0.6.0 

func (r ListWorkteamsRequest) Send(ctx context.Context) (*ListWorkteamsResponse, error)

Send marshals and sends the ListWorkteams API request.

type ListWorkteamsResponse added in v0.9.0 

type ListWorkteamsResponse struct {
	*ListWorkteamsOutput
	// contains filtered or unexported fields
}

ListWorkteamsResponse is the response type for the ListWorkteams API operation.

func (*ListWorkteamsResponse) SDKResponseMetdata added in v0.9.0 

func (r *ListWorkteamsResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the ListWorkteams request.

type ListWorkteamsSortByOptions added in v0.6.0 

type ListWorkteamsSortByOptions string
const (
	ListWorkteamsSortByOptionsName       ListWorkteamsSortByOptions = "Name"
	ListWorkteamsSortByOptionsCreateDate ListWorkteamsSortByOptions = "CreateDate"
)

Enum values for ListWorkteamsSortByOptions

func (ListWorkteamsSortByOptions) MarshalValue added in v0.6.0 

func (enum ListWorkteamsSortByOptions) MarshalValue() (string, error)

func (ListWorkteamsSortByOptions) MarshalValueBuf added in v0.6.0 

func (enum ListWorkteamsSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type MemberDefinition added in v0.6.0 

type MemberDefinition struct {

	// The Amazon Cognito user group that is part of the work team.
	CognitoMemberDefinition *CognitoMemberDefinition `type:"structure"`
	// contains filtered or unexported fields
}

Defines the Amazon Cognito user group that is part of a work team.

func (MemberDefinition) String added in v0.6.0 

func (s MemberDefinition) String() string

String returns the string representation

func (*MemberDefinition) Validate added in v0.6.0 

func (s *MemberDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type MetricData added in v0.6.0 

type MetricData struct {

	// The name of the metric.
	MetricName *string `min:"1" type:"string"`

	// The date and time that the algorithm emitted the metric.
	Timestamp *time.Time `type:"timestamp"`

	// The value of the metric.
	Value *float64 `type:"float"`
	// contains filtered or unexported fields
}

The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.

func (MetricData) String added in v0.6.0 

func (s MetricData) String() string

String returns the string representation

type MetricDefinition added in v0.5.0 

type MetricDefinition struct {

	// The name of the metric.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// A regular expression that searches the output of a training job and gets
	// the value of the metric. For more information about using regular expressions
	// to define metrics, see Defining Objective Metrics (https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics.html).
	//
	// Regex is a required field
	Regex *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies a metric that the training algorithm writes to stderr or stdout . Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.

func (MetricDefinition) String added in v0.5.0 

func (s MetricDefinition) String() string

String returns the string representation

func (*MetricDefinition) Validate added in v0.5.0 

func (s *MetricDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelArtifacts 

type ModelArtifacts struct {

	// The path of the S3 object that contains the model artifacts. For example,
	// s3://bucket-name/keynameprefix/model.tar.gz.
	//
	// S3ModelArtifacts is a required field
	S3ModelArtifacts *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides information about the location that is configured for storing model artifacts.

func (ModelArtifacts) String 

func (s ModelArtifacts) String() string

String returns the string representation

type ModelPackageContainerDefinition added in v0.6.0 

type ModelPackageContainerDefinition struct {

	// The DNS host name for the Docker container.
	ContainerHostname *string `type:"string"`

	// The Amazon EC2 Container Registry (Amazon ECR) path where inference code
	// is stored.
	//
	// If you are using your own custom algorithm instead of an algorithm provided
	// by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements.
	// Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest]
	// image path formats. For more information, see Using Your Own Algorithms with
	// Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html).
	//
	// Image is a required field
	Image *string `type:"string" required:"true"`

	// An MD5 hash of the training algorithm that identifies the Docker image used
	// for training.
	ImageDigest *string `type:"string"`

	// The Amazon S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix).
	ModelDataUrl *string `type:"string"`

	// The AWS Marketplace product ID of the model package.
	ProductId *string `type:"string"`
	// contains filtered or unexported fields
}

Describes the Docker container for the model package.

func (ModelPackageContainerDefinition) String added in v0.6.0 

func (s ModelPackageContainerDefinition) String() string

String returns the string representation

func (*ModelPackageContainerDefinition) Validate added in v0.6.0 

func (s *ModelPackageContainerDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelPackageSortBy added in v0.6.0 

type ModelPackageSortBy string
const (
	ModelPackageSortByName         ModelPackageSortBy = "Name"
	ModelPackageSortByCreationTime ModelPackageSortBy = "CreationTime"
)

Enum values for ModelPackageSortBy

func (ModelPackageSortBy) MarshalValue added in v0.6.0 

func (enum ModelPackageSortBy) MarshalValue() (string, error)

func (ModelPackageSortBy) MarshalValueBuf added in v0.6.0 

func (enum ModelPackageSortBy) MarshalValueBuf(b []byte) ([]byte, error)

type ModelPackageStatus added in v0.6.0 

type ModelPackageStatus string
const (
	ModelPackageStatusPending    ModelPackageStatus = "Pending"
	ModelPackageStatusInProgress ModelPackageStatus = "InProgress"
	ModelPackageStatusCompleted  ModelPackageStatus = "Completed"
	ModelPackageStatusFailed     ModelPackageStatus = "Failed"
	ModelPackageStatusDeleting   ModelPackageStatus = "Deleting"
)

Enum values for ModelPackageStatus

func (ModelPackageStatus) MarshalValue added in v0.6.0 

func (enum ModelPackageStatus) MarshalValue() (string, error)

func (ModelPackageStatus) MarshalValueBuf added in v0.6.0 

func (enum ModelPackageStatus) MarshalValueBuf(b []byte) ([]byte, error)

type ModelPackageStatusDetails added in v0.6.0 

type ModelPackageStatusDetails struct {

	// The status of the scan of the Docker image container for the model package.
	ImageScanStatuses []ModelPackageStatusItem `type:"list"`

	// The validation status of the model package.
	//
	// ValidationStatuses is a required field
	ValidationStatuses []ModelPackageStatusItem `type:"list" required:"true"`
	// contains filtered or unexported fields
}

Specifies the validation and image scan statuses of the model package.

func (ModelPackageStatusDetails) String added in v0.6.0 

func (s ModelPackageStatusDetails) String() string

String returns the string representation

type ModelPackageStatusItem added in v0.6.0 

type ModelPackageStatusItem struct {

	// if the overall status is Failed, the reason for the failure.
	FailureReason *string `type:"string"`

	// The name of the model package for which the overall status is being reported.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The current status.
	//
	// Status is a required field
	Status DetailedModelPackageStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Represents the overall status of a model package.

func (ModelPackageStatusItem) String added in v0.6.0 

func (s ModelPackageStatusItem) String() string

String returns the string representation

type ModelPackageSummary added in v0.6.0 

type ModelPackageSummary struct {

	// A timestamp that shows when the model package was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the model package.
	//
	// ModelPackageArn is a required field
	ModelPackageArn *string `min:"1" type:"string" required:"true"`

	// A brief description of the model package.
	ModelPackageDescription *string `type:"string"`

	// The name of the model package.
	//
	// ModelPackageName is a required field
	ModelPackageName *string `min:"1" type:"string" required:"true"`

	// The overall status of the model package.
	//
	// ModelPackageStatus is a required field
	ModelPackageStatus ModelPackageStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a model package.

func (ModelPackageSummary) String added in v0.6.0 

func (s ModelPackageSummary) String() string

String returns the string representation

type ModelPackageValidationProfile added in v0.6.0 

type ModelPackageValidationProfile struct {

	// The name of the profile for the model package.
	//
	// ProfileName is a required field
	ProfileName *string `min:"1" type:"string" required:"true"`

	// The TransformJobDefinition object that describes the transform job used for
	// the validation of the model package.
	//
	// TransformJobDefinition is a required field
	TransformJobDefinition *TransformJobDefinition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.

The data provided in the validation profile is made available to your buyers on AWS Marketplace.

func (ModelPackageValidationProfile) String added in v0.6.0 

func (s ModelPackageValidationProfile) String() string

String returns the string representation

func (*ModelPackageValidationProfile) Validate added in v0.6.0 

func (s *ModelPackageValidationProfile) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelPackageValidationSpecification added in v0.6.0 

type ModelPackageValidationSpecification struct {

	// An array of ModelPackageValidationProfile objects, each of which specifies
	// a batch transform job that Amazon SageMaker runs to validate your model package.
	//
	// ValidationProfiles is a required field
	ValidationProfiles []ModelPackageValidationProfile `min:"1" type:"list" required:"true"`

	// The IAM roles to be used for the validation of the model package.
	//
	// ValidationRole is a required field
	ValidationRole *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.

func (ModelPackageValidationSpecification) String added in v0.6.0 

func (s ModelPackageValidationSpecification) String() string

String returns the string representation

func (*ModelPackageValidationSpecification) Validate added in v0.6.0 

func (s *ModelPackageValidationSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ModelSortKey 

type ModelSortKey string
const (
	ModelSortKeyName         ModelSortKey = "Name"
	ModelSortKeyCreationTime ModelSortKey = "CreationTime"
)

Enum values for ModelSortKey

func (ModelSortKey) MarshalValue added in v0.3.0 

func (enum ModelSortKey) MarshalValue() (string, error)

func (ModelSortKey) MarshalValueBuf added in v0.3.0 

func (enum ModelSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type ModelSummary 

type ModelSummary struct {

	// A timestamp that indicates when the model was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The Amazon Resource Name (ARN) of the model.
	//
	// ModelArn is a required field
	ModelArn *string `min:"20" type:"string" required:"true"`

	// The name of the model that you want a summary for.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a model.

func (ModelSummary) String 

func (s ModelSummary) String() string

String returns the string representation

type NestedFilters added in v0.6.0 

type NestedFilters struct {

	// A list of filters. Each filter acts on a property. Filters must contain at
	// least one Filters value. For example, a NestedFilters call might include
	// a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.
	//
	// Filters is a required field
	Filters []Filter `min:"1" type:"list" required:"true"`

	// The name of the property to use in the nested filters. The value must match
	// a listed property name, such as InputDataConfig .
	//
	// NestedPropertyName is a required field
	NestedPropertyName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Defines a list of NestedFilters objects. To satisfy the conditions specified in the NestedFilters call, a resource must satisfy the conditions of all of the filters.

For example, you could define a NestedFilters using the training job's InputDataConfig property to filter on Channel objects.

A NestedFilters object contains multiple filters. For example, to find all training jobs whose name contains train and that have cat/data in their S3Uri (specified in InputDataConfig), you need to create a NestedFilters object that specifies the InputDataConfig property with the following Filter objects:

  • '{Name:"InputDataConfig.ChannelName", "Operator":"EQUALS", "Value":"train"}',

  • '{Name:"InputDataConfig.DataSource.S3DataSource.S3Uri", "Operator":"CONTAINS", "Value":"cat/data"}'

func (NestedFilters) String added in v0.6.0 

func (s NestedFilters) String() string

String returns the string representation

func (*NestedFilters) Validate added in v0.6.0 

func (s *NestedFilters) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type NotebookInstanceAcceleratorType added in v0.6.0 

type NotebookInstanceAcceleratorType string
const (
	NotebookInstanceAcceleratorTypeMlEia1Medium NotebookInstanceAcceleratorType = "ml.eia1.medium"
	NotebookInstanceAcceleratorTypeMlEia1Large  NotebookInstanceAcceleratorType = "ml.eia1.large"
	NotebookInstanceAcceleratorTypeMlEia1Xlarge NotebookInstanceAcceleratorType = "ml.eia1.xlarge"
)

Enum values for NotebookInstanceAcceleratorType

func (NotebookInstanceAcceleratorType) MarshalValue added in v0.6.0 

func (enum NotebookInstanceAcceleratorType) MarshalValue() (string, error)

func (NotebookInstanceAcceleratorType) MarshalValueBuf added in v0.6.0 

func (enum NotebookInstanceAcceleratorType) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceLifecycleConfigSortKey added in v0.4.0 

type NotebookInstanceLifecycleConfigSortKey string
const (
	NotebookInstanceLifecycleConfigSortKeyName             NotebookInstanceLifecycleConfigSortKey = "Name"
	NotebookInstanceLifecycleConfigSortKeyCreationTime     NotebookInstanceLifecycleConfigSortKey = "CreationTime"
	NotebookInstanceLifecycleConfigSortKeyLastModifiedTime NotebookInstanceLifecycleConfigSortKey = "LastModifiedTime"
)

Enum values for NotebookInstanceLifecycleConfigSortKey

func (NotebookInstanceLifecycleConfigSortKey) MarshalValue added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortKey) MarshalValue() (string, error)

func (NotebookInstanceLifecycleConfigSortKey) MarshalValueBuf added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceLifecycleConfigSortOrder added in v0.4.0 

type NotebookInstanceLifecycleConfigSortOrder string
const (
	NotebookInstanceLifecycleConfigSortOrderAscending  NotebookInstanceLifecycleConfigSortOrder = "Ascending"
	NotebookInstanceLifecycleConfigSortOrderDescending NotebookInstanceLifecycleConfigSortOrder = "Descending"
)

Enum values for NotebookInstanceLifecycleConfigSortOrder

func (NotebookInstanceLifecycleConfigSortOrder) MarshalValue added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortOrder) MarshalValue() (string, error)

func (NotebookInstanceLifecycleConfigSortOrder) MarshalValueBuf added in v0.4.0 

func (enum NotebookInstanceLifecycleConfigSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceLifecycleConfigSummary added in v0.4.0 

type NotebookInstanceLifecycleConfigSummary struct {

	// A timestamp that tells when the lifecycle configuration was created.
	CreationTime *time.Time `type:"timestamp"`

	// A timestamp that tells when the lifecycle configuration was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigArn is a required field
	NotebookInstanceLifecycleConfigArn *string `type:"string" required:"true"`

	// The name of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides a summary of a notebook instance lifecycle configuration.

func (NotebookInstanceLifecycleConfigSummary) String added in v0.4.0 

func (s NotebookInstanceLifecycleConfigSummary) String() string

String returns the string representation

type NotebookInstanceLifecycleHook added in v0.4.0 

type NotebookInstanceLifecycleHook struct {

	// A base64-encoded string that contains a shell script for a notebook instance
	// lifecycle configuration.
	Content *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

Contains the notebook instance lifecycle configuration script.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).

func (NotebookInstanceLifecycleHook) String added in v0.4.0 

func (s NotebookInstanceLifecycleHook) String() string

String returns the string representation

func (*NotebookInstanceLifecycleHook) Validate added in v0.4.0 

func (s *NotebookInstanceLifecycleHook) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type NotebookInstanceSortKey 

type NotebookInstanceSortKey string
const (
	NotebookInstanceSortKeyName         NotebookInstanceSortKey = "Name"
	NotebookInstanceSortKeyCreationTime NotebookInstanceSortKey = "CreationTime"
	NotebookInstanceSortKeyStatus       NotebookInstanceSortKey = "Status"
)

Enum values for NotebookInstanceSortKey

func (NotebookInstanceSortKey) MarshalValue added in v0.3.0 

func (enum NotebookInstanceSortKey) MarshalValue() (string, error)

func (NotebookInstanceSortKey) MarshalValueBuf added in v0.3.0 

func (enum NotebookInstanceSortKey) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceSortOrder 

type NotebookInstanceSortOrder string
const (
	NotebookInstanceSortOrderAscending  NotebookInstanceSortOrder = "Ascending"
	NotebookInstanceSortOrderDescending NotebookInstanceSortOrder = "Descending"
)

Enum values for NotebookInstanceSortOrder

func (NotebookInstanceSortOrder) MarshalValue added in v0.3.0 

func (enum NotebookInstanceSortOrder) MarshalValue() (string, error)

func (NotebookInstanceSortOrder) MarshalValueBuf added in v0.3.0 

func (enum NotebookInstanceSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceStatus 

type NotebookInstanceStatus string
const (
	NotebookInstanceStatusPending   NotebookInstanceStatus = "Pending"
	NotebookInstanceStatusInService NotebookInstanceStatus = "InService"
	NotebookInstanceStatusStopping  NotebookInstanceStatus = "Stopping"
	NotebookInstanceStatusStopped   NotebookInstanceStatus = "Stopped"
	NotebookInstanceStatusFailed    NotebookInstanceStatus = "Failed"
	NotebookInstanceStatusDeleting  NotebookInstanceStatus = "Deleting"
	NotebookInstanceStatusUpdating  NotebookInstanceStatus = "Updating"
)

Enum values for NotebookInstanceStatus

func (NotebookInstanceStatus) MarshalValue added in v0.3.0 

func (enum NotebookInstanceStatus) MarshalValue() (string, error)

func (NotebookInstanceStatus) MarshalValueBuf added in v0.3.0 

func (enum NotebookInstanceStatus) MarshalValueBuf(b []byte) ([]byte, error)

type NotebookInstanceSummary 

type NotebookInstanceSummary struct {

	// An array of up to three Git repositories associated with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// A timestamp that shows when the notebook instance was created.
	CreationTime *time.Time `type:"timestamp"`

	// The Git repository associated with the notebook instance as its default code
	// repository. This can be either the name of a Git repository stored as a resource
	// in your account, or the URL of a Git repository in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// The type of ML compute instance that the notebook instance is running on.
	InstanceType InstanceType `type:"string" enum:"true"`

	// A timestamp that shows when the notebook instance was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the notebook instance.
	//
	// NotebookInstanceArn is a required field
	NotebookInstanceArn *string `type:"string" required:"true"`

	// The name of a notebook instance lifecycle configuration associated with this
	// notebook instance.
	//
	// For information about notebook instance lifestyle configurations, see Step
	// 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
	NotebookInstanceLifecycleConfigName *string `type:"string"`

	// The name of the notebook instance that you want a summary for.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// The status of the notebook instance.
	NotebookInstanceStatus NotebookInstanceStatus `type:"string" enum:"true"`

	// The URL that you use to connect to the Jupyter instance running in your notebook
	// instance.
	Url *string `type:"string"`
	// contains filtered or unexported fields
}

Provides summary information for an Amazon SageMaker notebook instance.

func (NotebookInstanceSummary) String 

func (s NotebookInstanceSummary) String() string

String returns the string representation

type NotificationConfiguration added in v0.9.0 

type NotificationConfiguration struct {

	// The ARN for the SNS topic to which notifications should be published.
	NotificationTopicArn *string `type:"string"`
	// contains filtered or unexported fields
}

Configures SNS notifications of available or expiring work items for work teams.

func (NotificationConfiguration) String added in v0.9.0 

func (s NotificationConfiguration) String() string

String returns the string representation

type ObjectiveStatus added in v0.5.0 

type ObjectiveStatus string
const (
	ObjectiveStatusSucceeded ObjectiveStatus = "Succeeded"
	ObjectiveStatusPending   ObjectiveStatus = "Pending"
	ObjectiveStatusFailed    ObjectiveStatus = "Failed"
)

Enum values for ObjectiveStatus

func (ObjectiveStatus) MarshalValue added in v0.5.0 

func (enum ObjectiveStatus) MarshalValue() (string, error)

func (ObjectiveStatus) MarshalValueBuf added in v0.5.0 

func (enum ObjectiveStatus) MarshalValueBuf(b []byte) ([]byte, error)

type ObjectiveStatusCounters added in v0.5.0 

type ObjectiveStatusCounters struct {

	// The number of training jobs whose final objective metric was not evaluated
	// and used in the hyperparameter tuning process. This typically occurs when
	// the training job failed or did not emit an objective metric.
	Failed *int64 `type:"integer"`

	// The number of training jobs that are in progress and pending evaluation of
	// their final objective metric.
	Pending *int64 `type:"integer"`

	// The number of training jobs whose final objective metric was evaluated by
	// the hyperparameter tuning job and used in the hyperparameter tuning process.
	Succeeded *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.

func (ObjectiveStatusCounters) String added in v0.5.0 

func (s ObjectiveStatusCounters) String() string

String returns the string representation

type Operator added in v0.6.0 

type Operator string
const (
	OperatorEquals               Operator = "Equals"
	OperatorNotEquals            Operator = "NotEquals"
	OperatorGreaterThan          Operator = "GreaterThan"
	OperatorGreaterThanOrEqualTo Operator = "GreaterThanOrEqualTo"
	OperatorLessThan             Operator = "LessThan"
	OperatorLessThanOrEqualTo    Operator = "LessThanOrEqualTo"
	OperatorContains             Operator = "Contains"
)

Enum values for Operator

func (Operator) MarshalValue added in v0.6.0 

func (enum Operator) MarshalValue() (string, error)

func (Operator) MarshalValueBuf added in v0.6.0 

func (enum Operator) MarshalValueBuf(b []byte) ([]byte, error)

type OrderKey 

type OrderKey string
const (
	OrderKeyAscending  OrderKey = "Ascending"
	OrderKeyDescending OrderKey = "Descending"
)

Enum values for OrderKey

func (OrderKey) MarshalValue added in v0.3.0 

func (enum OrderKey) MarshalValue() (string, error)

func (OrderKey) MarshalValueBuf added in v0.3.0 

func (enum OrderKey) MarshalValueBuf(b []byte) ([]byte, error)

type OutputConfig added in v0.6.0 

type OutputConfig struct {

	// Identifies the S3 path where you want Amazon SageMaker to store the model
	// artifacts. For example, s3://bucket-name/key-name-prefix.
	//
	// S3OutputLocation is a required field
	S3OutputLocation *string `type:"string" required:"true"`

	// Identifies the device that you want to run your model on after it has been
	// compiled. For example: ml_c5.
	//
	// TargetDevice is a required field
	TargetDevice TargetDevice `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Contains information about the output location for the compiled model and the device (target) that the model runs on.

func (OutputConfig) String added in v0.6.0 

func (s OutputConfig) String() string

String returns the string representation

func (*OutputConfig) Validate added in v0.6.0 

func (s *OutputConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type OutputDataConfig 

type OutputDataConfig struct {

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt the model artifacts at rest using Amazon S3 server-side encryption.
	// The KmsKeyId can be any of the following formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // KMS Key Alias "alias/ExampleAlias"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key Alias "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
	//
	// If you use a KMS key ID or an alias of your master key, the Amazon SageMaker
	// execution role must include permissions to call kms:Encrypt. If you don't
	// provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon
	// S3 for your role's account. Amazon SageMaker uses server-side encryption
	// with KMS-managed keys for OutputDataConfig. If you use a bucket policy with
	// an s3:PutObject permission that only allows objects with server-side encryption,
	// set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For
	// more information, see KMS-Managed Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in the Amazon Simple Storage Service Developer Guide.
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob
	// requests. For more information, see Using Key Policies in AWS KMS (https://docs.aws.amazon.com/http:/docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// Identifies the S3 path where you want Amazon SageMaker to store the model
	// artifacts. For example, s3://bucket-name/key-name-prefix.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides information about how to store model training results (model artifacts).

func (OutputDataConfig) String 

func (s OutputDataConfig) String() string

String returns the string representation

func (*OutputDataConfig) Validate 

func (s *OutputDataConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ParameterRange added in v0.6.0 

type ParameterRange struct {

	// A CategoricalParameterRangeSpecification object that defines the possible
	// values for a categorical hyperparameter.
	CategoricalParameterRangeSpecification *CategoricalParameterRangeSpecification `type:"structure"`

	// A ContinuousParameterRangeSpecification object that defines the possible
	// values for a continuous hyperparameter.
	ContinuousParameterRangeSpecification *ContinuousParameterRangeSpecification `type:"structure"`

	// A IntegerParameterRangeSpecification object that defines the possible values
	// for an integer hyperparameter.
	IntegerParameterRangeSpecification *IntegerParameterRangeSpecification `type:"structure"`
	// contains filtered or unexported fields
}

Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.

func (ParameterRange) String added in v0.6.0 

func (s ParameterRange) String() string

String returns the string representation

func (*ParameterRange) Validate added in v0.6.0 

func (s *ParameterRange) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ParameterRanges added in v0.5.0 

type ParameterRanges struct {

	// The array of CategoricalParameterRange objects that specify ranges of categorical
	// hyperparameters that a hyperparameter tuning job searches.
	CategoricalParameterRanges []CategoricalParameterRange `type:"list"`

	// The array of ContinuousParameterRange objects that specify ranges of continuous
	// hyperparameters that a hyperparameter tuning job searches.
	ContinuousParameterRanges []ContinuousParameterRange `type:"list"`

	// The array of IntegerParameterRange objects that specify ranges of integer
	// hyperparameters that a hyperparameter tuning job searches.
	IntegerParameterRanges []IntegerParameterRange `type:"list"`
	// contains filtered or unexported fields
}

Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.

You can specify a maximum of 20 hyperparameters that a hyperparameter tuning job can search over. Every possible value of a categorical parameter range counts against this limit.

func (ParameterRanges) String added in v0.5.0 

func (s ParameterRanges) String() string

String returns the string representation

func (*ParameterRanges) Validate added in v0.5.0 

func (s *ParameterRanges) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ParameterType added in v0.6.0 

type ParameterType string
const (
	ParameterTypeInteger     ParameterType = "Integer"
	ParameterTypeContinuous  ParameterType = "Continuous"
	ParameterTypeCategorical ParameterType = "Categorical"
	ParameterTypeFreeText    ParameterType = "FreeText"
)

Enum values for ParameterType

func (ParameterType) MarshalValue added in v0.6.0 

func (enum ParameterType) MarshalValue() (string, error)

func (ParameterType) MarshalValueBuf added in v0.6.0 

func (enum ParameterType) MarshalValueBuf(b []byte) ([]byte, error)

type ParentHyperParameterTuningJob added in v0.6.0 

type ParentHyperParameterTuningJob struct {

	// The name of the hyperparameter tuning job to be used as a starting point
	// for a new hyperparameter tuning job.
	HyperParameterTuningJobName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

func (ParentHyperParameterTuningJob) String added in v0.6.0 

func (s ParentHyperParameterTuningJob) String() string

String returns the string representation

func (*ParentHyperParameterTuningJob) Validate added in v0.6.0 

func (s *ParentHyperParameterTuningJob) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProductionVariant 

type ProductionVariant struct {

	// The size of the Elastic Inference (EI) instance to use for the production
	// variant. EI instances provide on-demand GPU computing for inference. For
	// more information, see Using Elastic Inference in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html).
	AcceleratorType ProductionVariantAcceleratorType `type:"string" enum:"true"`

	// Number of instances to launch initially.
	//
	// InitialInstanceCount is a required field
	InitialInstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// Determines initial traffic distribution among all of the models that you
	// specify in the endpoint configuration. The traffic to a production variant
	// is determined by the ratio of the VariantWeight to the sum of all VariantWeight
	// values across all ProductionVariants. If unspecified, it defaults to 1.0.
	InitialVariantWeight *float64 `type:"float"`

	// The ML compute instance type.
	//
	// InstanceType is a required field
	InstanceType ProductionVariantInstanceType `type:"string" required:"true" enum:"true"`

	// The name of the model that you want to host. This is the name that you specified
	// when creating the model.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// The name of the production variant.
	//
	// VariantName is a required field
	VariantName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Identifies a model that you want to host and the resources to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

func (ProductionVariant) String 

func (s ProductionVariant) String() string

String returns the string representation

func (*ProductionVariant) Validate 

func (s *ProductionVariant) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ProductionVariantAcceleratorType added in v0.6.0 

type ProductionVariantAcceleratorType string
const (
	ProductionVariantAcceleratorTypeMlEia1Medium ProductionVariantAcceleratorType = "ml.eia1.medium"
	ProductionVariantAcceleratorTypeMlEia1Large  ProductionVariantAcceleratorType = "ml.eia1.large"
	ProductionVariantAcceleratorTypeMlEia1Xlarge ProductionVariantAcceleratorType = "ml.eia1.xlarge"
)

Enum values for ProductionVariantAcceleratorType

func (ProductionVariantAcceleratorType) MarshalValue added in v0.6.0 

func (enum ProductionVariantAcceleratorType) MarshalValue() (string, error)

func (ProductionVariantAcceleratorType) MarshalValueBuf added in v0.6.0 

func (enum ProductionVariantAcceleratorType) MarshalValueBuf(b []byte) ([]byte, error)

type ProductionVariantInstanceType 

type ProductionVariantInstanceType string
const (
	ProductionVariantInstanceTypeMlT2Medium     ProductionVariantInstanceType = "ml.t2.medium"
	ProductionVariantInstanceTypeMlT2Large      ProductionVariantInstanceType = "ml.t2.large"
	ProductionVariantInstanceTypeMlT2Xlarge     ProductionVariantInstanceType = "ml.t2.xlarge"
	ProductionVariantInstanceTypeMlT22xlarge    ProductionVariantInstanceType = "ml.t2.2xlarge"
	ProductionVariantInstanceTypeMlM4Xlarge     ProductionVariantInstanceType = "ml.m4.xlarge"
	ProductionVariantInstanceTypeMlM42xlarge    ProductionVariantInstanceType = "ml.m4.2xlarge"
	ProductionVariantInstanceTypeMlM44xlarge    ProductionVariantInstanceType = "ml.m4.4xlarge"
	ProductionVariantInstanceTypeMlM410xlarge   ProductionVariantInstanceType = "ml.m4.10xlarge"
	ProductionVariantInstanceTypeMlM416xlarge   ProductionVariantInstanceType = "ml.m4.16xlarge"
	ProductionVariantInstanceTypeMlM5Large      ProductionVariantInstanceType = "ml.m5.large"
	ProductionVariantInstanceTypeMlM5Xlarge     ProductionVariantInstanceType = "ml.m5.xlarge"
	ProductionVariantInstanceTypeMlM52xlarge    ProductionVariantInstanceType = "ml.m5.2xlarge"
	ProductionVariantInstanceTypeMlM54xlarge    ProductionVariantInstanceType = "ml.m5.4xlarge"
	ProductionVariantInstanceTypeMlM512xlarge   ProductionVariantInstanceType = "ml.m5.12xlarge"
	ProductionVariantInstanceTypeMlM524xlarge   ProductionVariantInstanceType = "ml.m5.24xlarge"
	ProductionVariantInstanceTypeMlC4Large      ProductionVariantInstanceType = "ml.c4.large"
	ProductionVariantInstanceTypeMlC4Xlarge     ProductionVariantInstanceType = "ml.c4.xlarge"
	ProductionVariantInstanceTypeMlC42xlarge    ProductionVariantInstanceType = "ml.c4.2xlarge"
	ProductionVariantInstanceTypeMlC44xlarge    ProductionVariantInstanceType = "ml.c4.4xlarge"
	ProductionVariantInstanceTypeMlC48xlarge    ProductionVariantInstanceType = "ml.c4.8xlarge"
	ProductionVariantInstanceTypeMlP2Xlarge     ProductionVariantInstanceType = "ml.p2.xlarge"
	ProductionVariantInstanceTypeMlP28xlarge    ProductionVariantInstanceType = "ml.p2.8xlarge"
	ProductionVariantInstanceTypeMlP216xlarge   ProductionVariantInstanceType = "ml.p2.16xlarge"
	ProductionVariantInstanceTypeMlP32xlarge    ProductionVariantInstanceType = "ml.p3.2xlarge"
	ProductionVariantInstanceTypeMlP38xlarge    ProductionVariantInstanceType = "ml.p3.8xlarge"
	ProductionVariantInstanceTypeMlP316xlarge   ProductionVariantInstanceType = "ml.p3.16xlarge"
	ProductionVariantInstanceTypeMlC5Large      ProductionVariantInstanceType = "ml.c5.large"
	ProductionVariantInstanceTypeMlC5Xlarge     ProductionVariantInstanceType = "ml.c5.xlarge"
	ProductionVariantInstanceTypeMlC52xlarge    ProductionVariantInstanceType = "ml.c5.2xlarge"
	ProductionVariantInstanceTypeMlC54xlarge    ProductionVariantInstanceType = "ml.c5.4xlarge"
	ProductionVariantInstanceTypeMlC59xlarge    ProductionVariantInstanceType = "ml.c5.9xlarge"
	ProductionVariantInstanceTypeMlC518xlarge   ProductionVariantInstanceType = "ml.c5.18xlarge"
	ProductionVariantInstanceTypeMlG4dnXlarge   ProductionVariantInstanceType = "ml.g4dn.xlarge"
	ProductionVariantInstanceTypeMlG4dn2xlarge  ProductionVariantInstanceType = "ml.g4dn.2xlarge"
	ProductionVariantInstanceTypeMlG4dn4xlarge  ProductionVariantInstanceType = "ml.g4dn.4xlarge"
	ProductionVariantInstanceTypeMlG4dn8xlarge  ProductionVariantInstanceType = "ml.g4dn.8xlarge"
	ProductionVariantInstanceTypeMlG4dn12xlarge ProductionVariantInstanceType = "ml.g4dn.12xlarge"
	ProductionVariantInstanceTypeMlG4dn16xlarge ProductionVariantInstanceType = "ml.g4dn.16xlarge"
	ProductionVariantInstanceTypeMlR5Large      ProductionVariantInstanceType = "ml.r5.large"
	ProductionVariantInstanceTypeMlR5Xlarge     ProductionVariantInstanceType = "ml.r5.xlarge"
	ProductionVariantInstanceTypeMlR52xlarge    ProductionVariantInstanceType = "ml.r5.2xlarge"
	ProductionVariantInstanceTypeMlR54xlarge    ProductionVariantInstanceType = "ml.r5.4xlarge"
	ProductionVariantInstanceTypeMlR512xlarge   ProductionVariantInstanceType = "ml.r5.12xlarge"
	ProductionVariantInstanceTypeMlR524xlarge   ProductionVariantInstanceType = "ml.r5.24xlarge"
)

Enum values for ProductionVariantInstanceType

func (ProductionVariantInstanceType) MarshalValue added in v0.3.0 

func (enum ProductionVariantInstanceType) MarshalValue() (string, error)

func (ProductionVariantInstanceType) MarshalValueBuf added in v0.3.0 

func (enum ProductionVariantInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type ProductionVariantSummary 

type ProductionVariantSummary struct {

	// The number of instances associated with the variant.
	CurrentInstanceCount *int64 `min:"1" type:"integer"`

	// The weight associated with the variant.
	CurrentWeight *float64 `type:"float"`

	// An array of DeployedImage objects that specify the Amazon EC2 Container Registry
	// paths of the inference images deployed on instances of this ProductionVariant.
	DeployedImages []DeployedImage `type:"list"`

	// The number of instances requested in the UpdateEndpointWeightsAndCapacities
	// request.
	DesiredInstanceCount *int64 `min:"1" type:"integer"`

	// The requested weight, as specified in the UpdateEndpointWeightsAndCapacities
	// request.
	DesiredWeight *float64 `type:"float"`

	// The name of the variant.
	//
	// VariantName is a required field
	VariantName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the UpdateEndpointWeightsAndCapacities API and the endpoint status is Updating, you get different desired and current values.

func (ProductionVariantSummary) String 

func (s ProductionVariantSummary) String() string

String returns the string representation

type PropertyNameQuery added in v0.6.0 

type PropertyNameQuery struct {

	// Text that is part of a property's name. The property names of hyperparameter,
	// metric, and tag key names that begin with the specified text in the PropertyNameHint.
	//
	// PropertyNameHint is a required field
	PropertyNameHint *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

A type of SuggestionQuery. A suggestion query for retrieving property names that match the specified hint.

func (PropertyNameQuery) String added in v0.6.0 

func (s PropertyNameQuery) String() string

String returns the string representation

func (*PropertyNameQuery) Validate added in v0.6.0 

func (s *PropertyNameQuery) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type PropertyNameSuggestion added in v0.6.0 

type PropertyNameSuggestion struct {

	// A suggested property name based on what you entered in the search textbox
	// in the Amazon SageMaker console.
	PropertyName *string `min:"1" type:"string"`
	// contains filtered or unexported fields
}

A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.

func (PropertyNameSuggestion) String added in v0.6.0 

func (s PropertyNameSuggestion) String() string

String returns the string representation

type PublicWorkforceTaskPrice added in v0.6.0 

type PublicWorkforceTaskPrice struct {

	// Defines the amount of money paid to an Amazon Mechanical Turk worker in United
	// States dollars.
	AmountInUsd *USD `type:"structure"`
	// contains filtered or unexported fields
}

Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.

Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.

  • 0.036

  • 0.048

  • 0.060

  • 0.072

  • 0.120

  • 0.240

  • 0.360

  • 0.480

  • 0.600

  • 0.720

  • 0.840

  • 0.960

  • 1.080

  • 1.200

Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.

  • 0.012

  • 0.024

  • 0.036

  • 0.048

  • 0.060

  • 0.072

  • 0.120

  • 0.240

  • 0.360

  • 0.480

  • 0.600

  • 0.720

  • 0.840

  • 0.960

  • 1.080

  • 1.200

Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.

  • 0.840

  • 0.960

  • 1.080

  • 1.200

func (PublicWorkforceTaskPrice) String added in v0.6.0 

func (s PublicWorkforceTaskPrice) String() string

String returns the string representation

type RecordWrapper 

type RecordWrapper string
const (
	RecordWrapperNone     RecordWrapper = "None"
	RecordWrapperRecordIo RecordWrapper = "RecordIO"
)

Enum values for RecordWrapper

func (RecordWrapper) MarshalValue added in v0.3.0 

func (enum RecordWrapper) MarshalValue() (string, error)

func (RecordWrapper) MarshalValueBuf added in v0.3.0 

func (enum RecordWrapper) MarshalValueBuf(b []byte) ([]byte, error)

type RenderUiTemplateInput added in v0.6.0 

type RenderUiTemplateInput struct {

	// The Amazon Resource Name (ARN) that has access to the S3 objects that are
	// used by the template.
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// A RenderableTask object containing a representative task to render.
	//
	// Task is a required field
	Task *RenderableTask `type:"structure" required:"true"`

	// A Template object containing the worker UI template to render.
	//
	// UiTemplate is a required field
	UiTemplate *UiTemplate `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (RenderUiTemplateInput) String added in v0.6.0 

func (s RenderUiTemplateInput) String() string

String returns the string representation

func (*RenderUiTemplateInput) Validate added in v0.6.0 

func (s *RenderUiTemplateInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type RenderUiTemplateOutput added in v0.6.0 

type RenderUiTemplateOutput struct {

	// A list of one or more RenderingError objects if any were encountered while
	// rendering the template. If there were no errors, the list is empty.
	//
	// Errors is a required field
	Errors []RenderingError `type:"list" required:"true"`

	// A Liquid template that renders the HTML for the worker UI.
	//
	// RenderedContent is a required field
	RenderedContent *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (RenderUiTemplateOutput) String added in v0.6.0 

func (s RenderUiTemplateOutput) String() string

String returns the string representation

type RenderUiTemplateRequest added in v0.6.0 

type RenderUiTemplateRequest struct {
	*aws.Request
	Input *RenderUiTemplateInput
	Copy  func(*RenderUiTemplateInput) RenderUiTemplateRequest
}

RenderUiTemplateRequest is the request type for the RenderUiTemplate API operation.

func (RenderUiTemplateRequest) Send added in v0.6.0 

func (r RenderUiTemplateRequest) Send(ctx context.Context) (*RenderUiTemplateResponse, error)

Send marshals and sends the RenderUiTemplate API request.

type RenderUiTemplateResponse added in v0.9.0 

type RenderUiTemplateResponse struct {
	*RenderUiTemplateOutput
	// contains filtered or unexported fields
}

RenderUiTemplateResponse is the response type for the RenderUiTemplate API operation.

func (*RenderUiTemplateResponse) SDKResponseMetdata added in v0.9.0 

func (r *RenderUiTemplateResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the RenderUiTemplate request.

type RenderableTask added in v0.6.0 

type RenderableTask struct {

	// A JSON object that contains values for the variables defined in the template.
	// It is made available to the template under the substitution variable task.input.
	// For example, if you define a variable task.input.text in your template, you
	// can supply the variable in the JSON object as "text": "sample text".
	//
	// Input is a required field
	Input *string `min:"2" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Contains input values for a task.

func (RenderableTask) String added in v0.6.0 

func (s RenderableTask) String() string

String returns the string representation

func (*RenderableTask) Validate added in v0.6.0 

func (s *RenderableTask) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type RenderingError added in v0.6.0 

type RenderingError struct {

	// A unique identifier for a specific class of errors.
	//
	// Code is a required field
	Code *string `type:"string" required:"true"`

	// A human-readable message describing the error.
	//
	// Message is a required field
	Message *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

A description of an error that occurred while rendering the template.

func (RenderingError) String added in v0.6.0 

func (s RenderingError) String() string

String returns the string representation

type ResourceConfig 

type ResourceConfig struct {

	// The number of ML compute instances to use. For distributed training, provide
	// a value greater than 1.
	//
	// InstanceCount is a required field
	InstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// The ML compute instance type.
	//
	// InstanceType is a required field
	InstanceType TrainingInstanceType `type:"string" required:"true" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt data on the storage volume attached to the ML compute instance(s)
	// that run the training job. The VolumeKmsKeyId can be any of the following
	// formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	VolumeKmsKeyId *string `type:"string"`

	// The size of the ML storage volume that you want to provision.
	//
	// ML storage volumes store model artifacts and incremental states. Training
	// algorithms might also use the ML storage volume for scratch space. If you
	// want to store the training data in the ML storage volume, choose File as
	// the TrainingInputMode in the algorithm specification.
	//
	// You must specify sufficient ML storage for your scenario.
	//
	// Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume
	// type.
	//
	// VolumeSizeInGB is a required field
	VolumeSizeInGB *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Describes the resources, including ML compute instances and ML storage volumes, to use for model training.

func (ResourceConfig) String 

func (s ResourceConfig) String() string

String returns the string representation

func (*ResourceConfig) Validate 

func (s *ResourceConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ResourceLimits added in v0.5.0 

type ResourceLimits struct {

	// The maximum number of training jobs that a hyperparameter tuning job can
	// launch.
	//
	// MaxNumberOfTrainingJobs is a required field
	MaxNumberOfTrainingJobs *int64 `min:"1" type:"integer" required:"true"`

	// The maximum number of concurrent training jobs that a hyperparameter tuning
	// job can launch.
	//
	// MaxParallelTrainingJobs is a required field
	MaxParallelTrainingJobs *int64 `min:"1" type:"integer" required:"true"`
	// contains filtered or unexported fields
}

Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.

func (ResourceLimits) String added in v0.5.0 

func (s ResourceLimits) String() string

String returns the string representation

func (*ResourceLimits) Validate added in v0.5.0 

func (s *ResourceLimits) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type ResourceType added in v0.6.0 

type ResourceType string
const (
	ResourceTypeTrainingJob ResourceType = "TrainingJob"
)

Enum values for ResourceType

func (ResourceType) MarshalValue added in v0.6.0 

func (enum ResourceType) MarshalValue() (string, error)

func (ResourceType) MarshalValueBuf added in v0.6.0 

func (enum ResourceType) MarshalValueBuf(b []byte) ([]byte, error)

type RootAccess added in v0.8.0 

type RootAccess string
const (
	RootAccessEnabled  RootAccess = "Enabled"
	RootAccessDisabled RootAccess = "Disabled"
)

Enum values for RootAccess

func (RootAccess) MarshalValue added in v0.8.0 

func (enum RootAccess) MarshalValue() (string, error)

func (RootAccess) MarshalValueBuf added in v0.8.0 

func (enum RootAccess) MarshalValueBuf(b []byte) ([]byte, error)

type S3DataDistribution 

type S3DataDistribution string
const (
	S3DataDistributionFullyReplicated S3DataDistribution = "FullyReplicated"
	S3DataDistributionShardedByS3key  S3DataDistribution = "ShardedByS3Key"
)

Enum values for S3DataDistribution

func (S3DataDistribution) MarshalValue added in v0.3.0 

func (enum S3DataDistribution) MarshalValue() (string, error)

func (S3DataDistribution) MarshalValueBuf added in v0.3.0 

func (enum S3DataDistribution) MarshalValueBuf(b []byte) ([]byte, error)

type S3DataSource 

type S3DataSource struct {

	// A list of one or more attribute names to use that are found in a specified
	// augmented manifest file.
	AttributeNames []string `type:"list"`

	// If you want Amazon SageMaker to replicate the entire dataset on each ML compute
	// instance that is launched for model training, specify FullyReplicated.
	//
	// If you want Amazon SageMaker to replicate a subset of data on each ML compute
	// instance that is launched for model training, specify ShardedByS3Key. If
	// there are n ML compute instances launched for a training job, each instance
	// gets approximately 1/n of the number of S3 objects. In this case, model training
	// on each machine uses only the subset of training data.
	//
	// Don't choose more ML compute instances for training than available S3 objects.
	// If you do, some nodes won't get any data and you will pay for nodes that
	// aren't getting any training data. This applies in both File and Pipe modes.
	// Keep this in mind when developing algorithms.
	//
	// In distributed training, where you use multiple ML compute EC2 instances,
	// you might choose ShardedByS3Key. If the algorithm requires copying training
	// data to the ML storage volume (when TrainingInputMode is set to File), this
	// copies 1/n of the number of objects.
	S3DataDistributionType S3DataDistribution `type:"string" enum:"true"`

	// If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker
	// uses all objects that match the specified key name prefix for model training.
	//
	// If you choose ManifestFile, S3Uri identifies an object that is a manifest
	// file containing a list of object keys that you want Amazon SageMaker to use
	// for model training.
	//
	// If you choose AugmentedManifestFile, S3Uri identifies an object that is an
	// augmented manifest file in JSON lines format. This file contains the data
	// you want to use for model training. AugmentedManifestFile can only be used
	// if the Channel's input mode is Pipe.
	//
	// S3DataType is a required field
	S3DataType S3DataType `type:"string" required:"true" enum:"true"`

	// Depending on the value specified for the S3DataType, identifies either a
	// key name prefix or a manifest. For example:
	//
	//    * A key name prefix might look like this: s3://bucketname/exampleprefix.
	//
	//    * A manifest might look like this: s3://bucketname/example.manifest The
	//    manifest is an S3 object which is a JSON file with the following format:
	//    [ {"prefix": "s3://customer_bucket/some/prefix/"}, "relative/path/to/custdata-1",
	//    "relative/path/custdata-2", ... ] The preceding JSON matches the following
	//    s3Uris: s3://customer_bucket/some/prefix/relative/path/to/custdata-1 s3://customer_bucket/some/prefix/relative/path/custdata-2
	//    ... The complete set of s3uris in this manifest is the input data for
	//    the channel for this datasource. The object that each s3uris points to
	//    must be readable by the IAM role that Amazon SageMaker uses to perform
	//    tasks on your behalf.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the S3 data source.

func (S3DataSource) String 

func (s S3DataSource) String() string

String returns the string representation

func (*S3DataSource) Validate 

func (s *S3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type S3DataType 

type S3DataType string
const (
	S3DataTypeManifestFile          S3DataType = "ManifestFile"
	S3DataTypeS3prefix              S3DataType = "S3Prefix"
	S3DataTypeAugmentedManifestFile S3DataType = "AugmentedManifestFile"
)

Enum values for S3DataType

func (S3DataType) MarshalValue added in v0.3.0 

func (enum S3DataType) MarshalValue() (string, error)

func (S3DataType) MarshalValueBuf added in v0.3.0 

func (enum S3DataType) MarshalValueBuf(b []byte) ([]byte, error)

type SearchExpression added in v0.6.0 

type SearchExpression struct {

	// A list of filter objects.
	Filters []Filter `min:"1" type:"list"`

	// A list of nested filter objects.
	NestedFilters []NestedFilters `min:"1" type:"list"`

	// A Boolean operator used to evaluate the search expression. If you want every
	// conditional statement in all lists to be satisfied for the entire search
	// expression to be true, specify And. If only a single conditional statement
	// needs to be true for the entire search expression to be true, specify Or.
	// The default value is And.
	Operator BooleanOperator `type:"string" enum:"true"`

	// A list of search expression objects.
	SubExpressions []SearchExpression `min:"1" type:"list"`
	// contains filtered or unexported fields
}

A multi-expression that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results. You must specify at least one subexpression, filter, or nested filter. A SearchExpression can contain up to twenty elements.

A SearchExpression contains the following components:

  • A list of Filter objects. Each filter defines a simple Boolean expression comprised of a resource property name, Boolean operator, and value.

  • A list of NestedFilter objects. Each nested filter defines a list of Boolean expressions using a list of resource properties. A nested filter is satisfied if a single object in the list satisfies all Boolean expressions.

  • A list of SearchExpression objects. A search expression object can be nested in a list of search expression objects.

  • A Boolean operator: And or Or.

func (SearchExpression) String added in v0.6.0 

func (s SearchExpression) String() string

String returns the string representation

func (*SearchExpression) Validate added in v0.6.0 

func (s *SearchExpression) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchInput added in v0.6.0 

type SearchInput struct {

	// The maximum number of results to return in a SearchResponse.
	MaxResults *int64 `min:"1" type:"integer"`

	// If more than MaxResults resource objects match the specified SearchExpression,
	// the SearchResponse includes a NextToken. The NextToken can be passed to the
	// next SearchRequest to continue retrieving results for the specified SearchExpression
	// and Sort parameters.
	NextToken *string `type:"string"`

	// The name of the Amazon SageMaker resource to search for. Currently, the only
	// valid Resource value is TrainingJob.
	//
	// Resource is a required field
	Resource ResourceType `type:"string" required:"true" enum:"true"`

	// A Boolean conditional statement. Resource objects must satisfy this condition
	// to be included in search results. You must provide at least one subexpression,
	// filter, or nested filter. The maximum number of recursive SubExpressions,
	// NestedFilters, and Filters that can be included in a SearchExpression object
	// is 50.
	SearchExpression *SearchExpression `type:"structure"`

	// The name of the resource property used to sort the SearchResults. The default
	// is LastModifiedTime.
	SortBy *string `min:"1" type:"string"`

	// How SearchResults are ordered. Valid values are Ascending or Descending.
	// The default is Descending.
	SortOrder SearchSortOrder `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

func (SearchInput) String added in v0.6.0 

func (s SearchInput) String() string

String returns the string representation

func (*SearchInput) Validate added in v0.6.0 

func (s *SearchInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SearchOutput added in v0.6.0 

type SearchOutput struct {

	// If the result of the previous Search request was truncated, the response
	// includes a NextToken. To retrieve the next set of results, use the token
	// in the next request.
	NextToken *string `type:"string"`

	// A list of SearchResult objects.
	Results []SearchRecord `type:"list"`
	// contains filtered or unexported fields
}

func (SearchOutput) String added in v0.6.0 

func (s SearchOutput) String() string

String returns the string representation

type SearchPaginator added in v0.9.0 

type SearchPaginator struct {
	aws.Pager
}

SearchPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.

func NewSearchPaginator added in v0.9.0 

func NewSearchPaginator(req SearchRequest) SearchPaginator

NewSearchRequestPaginator returns a paginator for Search. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.

Note: This operation can generate multiple requests to a service. 

// Example iterating over pages.
req := client.SearchRequest(input)
p := sagemaker.NewSearchRequestPaginator(req)

for p.Next(context.TODO()) {
    page := p.CurrentPage()
}

if err := p.Err(); err != nil {
    return err
}

func (*SearchPaginator) CurrentPage added in v0.9.0 

func (p *SearchPaginator) CurrentPage() *SearchOutput

type SearchRecord added in v0.6.0 

type SearchRecord struct {

	// A TrainingJob object that is returned as part of a Search request.
	TrainingJob *TrainingJob `type:"structure"`
	// contains filtered or unexported fields
}

An individual search result record that contains a single resource object.

func (SearchRecord) String added in v0.6.0 

func (s SearchRecord) String() string

String returns the string representation

type SearchRequest added in v0.6.0 

type SearchRequest struct {
	*aws.Request
	Input *SearchInput
	Copy  func(*SearchInput) SearchRequest
}

SearchRequest is the request type for the Search API operation.

func (SearchRequest) Send added in v0.6.0 

func (r SearchRequest) Send(ctx context.Context) (*SearchResponse, error)

Send marshals and sends the Search API request.

type SearchResponse added in v0.9.0 

type SearchResponse struct {
	*SearchOutput
	// contains filtered or unexported fields
}

SearchResponse is the response type for the Search API operation.

func (*SearchResponse) SDKResponseMetdata added in v0.9.0 

func (r *SearchResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the Search request.

type SearchSortOrder added in v0.6.0 

type SearchSortOrder string
const (
	SearchSortOrderAscending  SearchSortOrder = "Ascending"
	SearchSortOrderDescending SearchSortOrder = "Descending"
)

Enum values for SearchSortOrder

func (SearchSortOrder) MarshalValue added in v0.6.0 

func (enum SearchSortOrder) MarshalValue() (string, error)

func (SearchSortOrder) MarshalValueBuf added in v0.6.0 

func (enum SearchSortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type SecondaryStatus 

type SecondaryStatus string
const (
	SecondaryStatusStarting                 SecondaryStatus = "Starting"
	SecondaryStatusLaunchingMlinstances     SecondaryStatus = "LaunchingMLInstances"
	SecondaryStatusPreparingTrainingStack   SecondaryStatus = "PreparingTrainingStack"
	SecondaryStatusDownloading              SecondaryStatus = "Downloading"
	SecondaryStatusDownloadingTrainingImage SecondaryStatus = "DownloadingTrainingImage"
	SecondaryStatusTraining                 SecondaryStatus = "Training"
	SecondaryStatusUploading                SecondaryStatus = "Uploading"
	SecondaryStatusStopping                 SecondaryStatus = "Stopping"
	SecondaryStatusStopped                  SecondaryStatus = "Stopped"
	SecondaryStatusMaxRuntimeExceeded       SecondaryStatus = "MaxRuntimeExceeded"
	SecondaryStatusCompleted                SecondaryStatus = "Completed"
	SecondaryStatusFailed                   SecondaryStatus = "Failed"
	SecondaryStatusInterrupted              SecondaryStatus = "Interrupted"
	SecondaryStatusMaxWaitTimeExceeded      SecondaryStatus = "MaxWaitTimeExceeded"
)

Enum values for SecondaryStatus

func (SecondaryStatus) MarshalValue added in v0.3.0 

func (enum SecondaryStatus) MarshalValue() (string, error)

func (SecondaryStatus) MarshalValueBuf added in v0.3.0 

func (enum SecondaryStatus) MarshalValueBuf(b []byte) ([]byte, error)

type SecondaryStatusTransition added in v0.5.0 

type SecondaryStatusTransition struct {

	// A timestamp that shows when the training job transitioned out of this secondary
	// status state into another secondary status state or when the training job
	// has ended.
	EndTime *time.Time `type:"timestamp"`

	// A timestamp that shows when the training job transitioned to the current
	// secondary status state.
	//
	// StartTime is a required field
	StartTime *time.Time `type:"timestamp" required:"true"`

	// Contains a secondary status information from a training job.
	//
	// Status might be one of the following secondary statuses:
	//
	// InProgress
	//
	//    * Starting - Starting the training job.
	//
	//    * Downloading - An optional stage for algorithms that support File training
	//    input mode. It indicates that data is being downloaded to the ML storage
	//    volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Uploading - Training is complete and the model artifacts are being uploaded
	//    to the S3 location.
	//
	// Completed
	//
	//    * Completed - The training job has completed.
	//
	// Failed
	//
	//    * Failed - The training job has failed. The reason for the failure is
	//    returned in the FailureReason field of DescribeTrainingJobResponse.
	//
	// Stopped
	//
	//    * MaxRuntimeExceeded - The job stopped because it exceeded the maximum
	//    allowed runtime.
	//
	//    * Stopped - The training job has stopped.
	//
	// Stopping
	//
	//    * Stopping - Stopping the training job.
	//
	// We no longer support the following secondary statuses:
	//
	//    * LaunchingMLInstances
	//
	//    * PreparingTrainingStack
	//
	//    * DownloadingTrainingImage
	//
	// Status is a required field
	Status SecondaryStatus `type:"string" required:"true" enum:"true"`

	// A detailed description of the progress within a secondary status.
	//
	// Amazon SageMaker provides secondary statuses and status messages that apply
	// to each of them:
	//
	// Starting
	//
	//    * Starting the training job.
	//
	//    * Launching requested ML instances.
	//
	//    * Insufficient capacity error from EC2 while launching instances, retrying!
	//
	//    * Launched instance was unhealthy, replacing it!
	//
	//    * Preparing the instances for training.
	//
	// Training
	//
	//    * Downloading the training image.
	//
	//    * Training image download completed. Training in progress.
	//
	// Status messages are subject to change. Therefore, we recommend not including
	// them in code that programmatically initiates actions. For examples, don't
	// use status messages in if statements.
	//
	// To have an overview of your training job's progress, view TrainingJobStatus
	// and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For
	// example, at the start of a training job, you might see the following:
	//
	//    * TrainingJobStatus - InProgress
	//
	//    * SecondaryStatus - Training
	//
	//    * StatusMessage - Downloading the training image
	StatusMessage *string `type:"string"`
	// contains filtered or unexported fields
}

An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions. It provides additional details about a status that the training job has transitioned through. A training job can be in one of several states, for example, starting, downloading, training, or uploading. Within each state, there are a number of intermediate states. For example, within the starting state, Amazon SageMaker could be starting the training job or launching the ML instances. These transitional states are referred to as the job's secondary status.

func (SecondaryStatusTransition) String added in v0.5.0 

func (s SecondaryStatusTransition) String() string

String returns the string representation

type ShuffleConfig added in v0.6.0 

type ShuffleConfig struct {

	// Determines the shuffling order in ShuffleConfig value.
	//
	// Seed is a required field
	Seed *int64 `type:"long" required:"true"`
	// contains filtered or unexported fields
}

A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

func (ShuffleConfig) String added in v0.6.0 

func (s ShuffleConfig) String() string

String returns the string representation

func (*ShuffleConfig) Validate added in v0.6.0 

func (s *ShuffleConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SortBy 

type SortBy string
const (
	SortByName         SortBy = "Name"
	SortByCreationTime SortBy = "CreationTime"
	SortByStatus       SortBy = "Status"
)

Enum values for SortBy

func (SortBy) MarshalValue added in v0.3.0 

func (enum SortBy) MarshalValue() (string, error)

func (SortBy) MarshalValueBuf added in v0.3.0 

func (enum SortBy) MarshalValueBuf(b []byte) ([]byte, error)

type SortOrder 

type SortOrder string
const (
	SortOrderAscending  SortOrder = "Ascending"
	SortOrderDescending SortOrder = "Descending"
)

Enum values for SortOrder

func (SortOrder) MarshalValue added in v0.3.0 

func (enum SortOrder) MarshalValue() (string, error)

func (SortOrder) MarshalValueBuf added in v0.3.0 

func (enum SortOrder) MarshalValueBuf(b []byte) ([]byte, error)

type SourceAlgorithm added in v0.6.0 

type SourceAlgorithm struct {

	// The name of an algorithm that was used to create the model package. The algorithm
	// must be either an algorithm resource in your Amazon SageMaker account or
	// an algorithm in AWS Marketplace that you are subscribed to.
	//
	// AlgorithmName is a required field
	AlgorithmName *string `min:"1" type:"string" required:"true"`

	// The Amazon S3 path where the model artifacts, which result from model training,
	// are stored. This path must point to a single gzip compressed tar archive
	// (.tar.gz suffix).
	ModelDataUrl *string `type:"string"`
	// contains filtered or unexported fields
}

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in AWS Marketplace that you are subscribed to.

func (SourceAlgorithm) String added in v0.6.0 

func (s SourceAlgorithm) String() string

String returns the string representation

func (*SourceAlgorithm) Validate added in v0.6.0 

func (s *SourceAlgorithm) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SourceAlgorithmSpecification added in v0.6.0 

type SourceAlgorithmSpecification struct {

	// A list of the algorithms that were used to create a model package.
	//
	// SourceAlgorithms is a required field
	SourceAlgorithms []SourceAlgorithm `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

A list of algorithms that were used to create a model package.

func (SourceAlgorithmSpecification) String added in v0.6.0 

func (s SourceAlgorithmSpecification) String() string

String returns the string representation

func (*SourceAlgorithmSpecification) Validate added in v0.6.0 

func (s *SourceAlgorithmSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SplitType added in v0.5.0 

type SplitType string
const (
	SplitTypeNone     SplitType = "None"
	SplitTypeLine     SplitType = "Line"
	SplitTypeRecordIo SplitType = "RecordIO"
	SplitTypeTfrecord SplitType = "TFRecord"
)

Enum values for SplitType

func (SplitType) MarshalValue added in v0.5.0 

func (enum SplitType) MarshalValue() (string, error)

func (SplitType) MarshalValueBuf added in v0.5.0 

func (enum SplitType) MarshalValueBuf(b []byte) ([]byte, error)

type StartNotebookInstanceInput 

type StartNotebookInstanceInput struct {

	// The name of the notebook instance to start.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StartNotebookInstanceInput) String 

func (s StartNotebookInstanceInput) String() string

String returns the string representation

func (*StartNotebookInstanceInput) Validate 

func (s *StartNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StartNotebookInstanceOutput 

type StartNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (StartNotebookInstanceOutput) String 

func (s StartNotebookInstanceOutput) String() string

String returns the string representation

type StartNotebookInstanceRequest 

type StartNotebookInstanceRequest struct {
	*aws.Request
	Input *StartNotebookInstanceInput
	Copy  func(*StartNotebookInstanceInput) StartNotebookInstanceRequest
}

StartNotebookInstanceRequest is the request type for the StartNotebookInstance API operation.

func (StartNotebookInstanceRequest) Send 

func (r StartNotebookInstanceRequest) Send(ctx context.Context) (*StartNotebookInstanceResponse, error)

Send marshals and sends the StartNotebookInstance API request.

type StartNotebookInstanceResponse added in v0.9.0 

type StartNotebookInstanceResponse struct {
	*StartNotebookInstanceOutput
	// contains filtered or unexported fields
}

StartNotebookInstanceResponse is the response type for the StartNotebookInstance API operation.

func (*StartNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *StartNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StartNotebookInstance request.

type StopCompilationJobInput added in v0.6.0 

type StopCompilationJobInput struct {

	// The name of the model compilation job to stop.
	//
	// CompilationJobName is a required field
	CompilationJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopCompilationJobInput) String added in v0.6.0 

func (s StopCompilationJobInput) String() string

String returns the string representation

func (*StopCompilationJobInput) Validate added in v0.6.0 

func (s *StopCompilationJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopCompilationJobOutput added in v0.6.0 

type StopCompilationJobOutput struct {
	// contains filtered or unexported fields
}

func (StopCompilationJobOutput) String added in v0.6.0 

func (s StopCompilationJobOutput) String() string

String returns the string representation

type StopCompilationJobRequest added in v0.6.0 

type StopCompilationJobRequest struct {
	*aws.Request
	Input *StopCompilationJobInput
	Copy  func(*StopCompilationJobInput) StopCompilationJobRequest
}

StopCompilationJobRequest is the request type for the StopCompilationJob API operation.

func (StopCompilationJobRequest) Send added in v0.6.0 

func (r StopCompilationJobRequest) Send(ctx context.Context) (*StopCompilationJobResponse, error)

Send marshals and sends the StopCompilationJob API request.

type StopCompilationJobResponse added in v0.9.0 

type StopCompilationJobResponse struct {
	*StopCompilationJobOutput
	// contains filtered or unexported fields
}

StopCompilationJobResponse is the response type for the StopCompilationJob API operation.

func (*StopCompilationJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopCompilationJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopCompilationJob request.

type StopHyperParameterTuningJobInput added in v0.5.0 

type StopHyperParameterTuningJobInput struct {

	// The name of the tuning job to stop.
	//
	// HyperParameterTuningJobName is a required field
	HyperParameterTuningJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopHyperParameterTuningJobInput) String added in v0.5.0 

func (s StopHyperParameterTuningJobInput) String() string

String returns the string representation

func (*StopHyperParameterTuningJobInput) Validate added in v0.5.0 

func (s *StopHyperParameterTuningJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopHyperParameterTuningJobOutput added in v0.5.0 

type StopHyperParameterTuningJobOutput struct {
	// contains filtered or unexported fields
}

func (StopHyperParameterTuningJobOutput) String added in v0.5.0 

func (s StopHyperParameterTuningJobOutput) String() string

String returns the string representation

type StopHyperParameterTuningJobRequest added in v0.5.0 

type StopHyperParameterTuningJobRequest struct {
	*aws.Request
	Input *StopHyperParameterTuningJobInput
	Copy  func(*StopHyperParameterTuningJobInput) StopHyperParameterTuningJobRequest
}

StopHyperParameterTuningJobRequest is the request type for the StopHyperParameterTuningJob API operation.

func (StopHyperParameterTuningJobRequest) Send added in v0.5.0 

func (r StopHyperParameterTuningJobRequest) Send(ctx context.Context) (*StopHyperParameterTuningJobResponse, error)

Send marshals and sends the StopHyperParameterTuningJob API request.

type StopHyperParameterTuningJobResponse added in v0.9.0 

type StopHyperParameterTuningJobResponse struct {
	*StopHyperParameterTuningJobOutput
	// contains filtered or unexported fields
}

StopHyperParameterTuningJobResponse is the response type for the StopHyperParameterTuningJob API operation.

func (*StopHyperParameterTuningJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopHyperParameterTuningJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopHyperParameterTuningJob request.

type StopLabelingJobInput added in v0.6.0 

type StopLabelingJobInput struct {

	// The name of the labeling job to stop.
	//
	// LabelingJobName is a required field
	LabelingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopLabelingJobInput) String added in v0.6.0 

func (s StopLabelingJobInput) String() string

String returns the string representation

func (*StopLabelingJobInput) Validate added in v0.6.0 

func (s *StopLabelingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopLabelingJobOutput added in v0.6.0 

type StopLabelingJobOutput struct {
	// contains filtered or unexported fields
}

func (StopLabelingJobOutput) String added in v0.6.0 

func (s StopLabelingJobOutput) String() string

String returns the string representation

type StopLabelingJobRequest added in v0.6.0 

type StopLabelingJobRequest struct {
	*aws.Request
	Input *StopLabelingJobInput
	Copy  func(*StopLabelingJobInput) StopLabelingJobRequest
}

StopLabelingJobRequest is the request type for the StopLabelingJob API operation.

func (StopLabelingJobRequest) Send added in v0.6.0 

func (r StopLabelingJobRequest) Send(ctx context.Context) (*StopLabelingJobResponse, error)

Send marshals and sends the StopLabelingJob API request.

type StopLabelingJobResponse added in v0.9.0 

type StopLabelingJobResponse struct {
	*StopLabelingJobOutput
	// contains filtered or unexported fields
}

StopLabelingJobResponse is the response type for the StopLabelingJob API operation.

func (*StopLabelingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopLabelingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopLabelingJob request.

type StopNotebookInstanceInput 

type StopNotebookInstanceInput struct {

	// The name of the notebook instance to terminate.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopNotebookInstanceInput) String 

func (s StopNotebookInstanceInput) String() string

String returns the string representation

func (*StopNotebookInstanceInput) Validate 

func (s *StopNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopNotebookInstanceOutput 

type StopNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (StopNotebookInstanceOutput) String 

func (s StopNotebookInstanceOutput) String() string

String returns the string representation

type StopNotebookInstanceRequest 

type StopNotebookInstanceRequest struct {
	*aws.Request
	Input *StopNotebookInstanceInput
	Copy  func(*StopNotebookInstanceInput) StopNotebookInstanceRequest
}

StopNotebookInstanceRequest is the request type for the StopNotebookInstance API operation.

func (StopNotebookInstanceRequest) Send 

func (r StopNotebookInstanceRequest) Send(ctx context.Context) (*StopNotebookInstanceResponse, error)

Send marshals and sends the StopNotebookInstance API request.

type StopNotebookInstanceResponse added in v0.9.0 

type StopNotebookInstanceResponse struct {
	*StopNotebookInstanceOutput
	// contains filtered or unexported fields
}

StopNotebookInstanceResponse is the response type for the StopNotebookInstance API operation.

func (*StopNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopNotebookInstance request.

type StopTrainingJobInput 

type StopTrainingJobInput struct {

	// The name of the training job to stop.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopTrainingJobInput) String 

func (s StopTrainingJobInput) String() string

String returns the string representation

func (*StopTrainingJobInput) Validate 

func (s *StopTrainingJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopTrainingJobOutput 

type StopTrainingJobOutput struct {
	// contains filtered or unexported fields
}

func (StopTrainingJobOutput) String 

func (s StopTrainingJobOutput) String() string

String returns the string representation

type StopTrainingJobRequest 

type StopTrainingJobRequest struct {
	*aws.Request
	Input *StopTrainingJobInput
	Copy  func(*StopTrainingJobInput) StopTrainingJobRequest
}

StopTrainingJobRequest is the request type for the StopTrainingJob API operation.

func (StopTrainingJobRequest) Send 

func (r StopTrainingJobRequest) Send(ctx context.Context) (*StopTrainingJobResponse, error)

Send marshals and sends the StopTrainingJob API request.

type StopTrainingJobResponse added in v0.9.0 

type StopTrainingJobResponse struct {
	*StopTrainingJobOutput
	// contains filtered or unexported fields
}

StopTrainingJobResponse is the response type for the StopTrainingJob API operation.

func (*StopTrainingJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopTrainingJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopTrainingJob request.

type StopTransformJobInput added in v0.5.0 

type StopTransformJobInput struct {

	// The name of the transform job to stop.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (StopTransformJobInput) String added in v0.5.0 

func (s StopTransformJobInput) String() string

String returns the string representation

func (*StopTransformJobInput) Validate added in v0.5.0 

func (s *StopTransformJobInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type StopTransformJobOutput added in v0.5.0 

type StopTransformJobOutput struct {
	// contains filtered or unexported fields
}

func (StopTransformJobOutput) String added in v0.5.0 

func (s StopTransformJobOutput) String() string

String returns the string representation

type StopTransformJobRequest added in v0.5.0 

type StopTransformJobRequest struct {
	*aws.Request
	Input *StopTransformJobInput
	Copy  func(*StopTransformJobInput) StopTransformJobRequest
}

StopTransformJobRequest is the request type for the StopTransformJob API operation.

func (StopTransformJobRequest) Send added in v0.5.0 

func (r StopTransformJobRequest) Send(ctx context.Context) (*StopTransformJobResponse, error)

Send marshals and sends the StopTransformJob API request.

type StopTransformJobResponse added in v0.9.0 

type StopTransformJobResponse struct {
	*StopTransformJobOutput
	// contains filtered or unexported fields
}

StopTransformJobResponse is the response type for the StopTransformJob API operation.

func (*StopTransformJobResponse) SDKResponseMetdata added in v0.9.0 

func (r *StopTransformJobResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the StopTransformJob request.

type StoppingCondition 

type StoppingCondition struct {

	// The maximum length of time, in seconds, that the training or compilation
	// job can run. If job does not complete during this time, Amazon SageMaker
	// ends the job. If value is not specified, default value is 1 day. The maximum
	// value is 28 days.
	MaxRuntimeInSeconds *int64 `min:"1" type:"integer"`

	// The maximum length of time, in seconds, how long you are willing to wait
	// for a managed spot training job to complete. It is the amount of time spent
	// waiting for Spot capacity plus the amount of time the training job runs.
	// It must be equal to or greater than MaxRuntimeInSeconds.
	MaxWaitTimeInSeconds *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

Specifies a limit to how long a model training or compilation job can run. It also specifies how long you are willing to wait for a managed spot training job to complete. When the job reaches the time limit, Amazon SageMaker ends the training or compilation job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

The training algorithms provided by Amazon SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel.

The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.

func (StoppingCondition) String 

func (s StoppingCondition) String() string

String returns the string representation

func (*StoppingCondition) Validate 

func (s *StoppingCondition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type SubscribedWorkteam added in v0.6.0 

type SubscribedWorkteam struct {
	ListingId *string `type:"string"`

	// The description of the vendor from the Amazon Marketplace.
	MarketplaceDescription *string `min:"1" type:"string"`

	// The title of the service provided by the vendor in the Amazon Marketplace.
	MarketplaceTitle *string `min:"1" type:"string"`

	// The name of the vendor in the Amazon Marketplace.
	SellerName *string `type:"string"`

	// The Amazon Resource Name (ARN) of the vendor that you have subscribed.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes a work team of a vendor that does the a labelling job.

func (SubscribedWorkteam) String added in v0.6.0 

func (s SubscribedWorkteam) String() string

String returns the string representation

type SuggestionQuery added in v0.6.0 

type SuggestionQuery struct {

	// A type of SuggestionQuery. Defines a property name hint. Only property names
	// that match the specified hint are included in the response.
	PropertyNameQuery *PropertyNameQuery `type:"structure"`
	// contains filtered or unexported fields
}

Limits the property names that are included in the response.

func (SuggestionQuery) String added in v0.6.0 

func (s SuggestionQuery) String() string

String returns the string representation

func (*SuggestionQuery) Validate added in v0.6.0 

func (s *SuggestionQuery) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Tag 

type Tag struct {

	// The tag key.
	//
	// Key is a required field
	Key *string `min:"1" type:"string" required:"true"`

	// The tag value.
	//
	// Value is a required field
	Value *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes a tag.

func (Tag) String 

func (s Tag) String() string

String returns the string representation

func (*Tag) Validate 

func (s *Tag) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TargetDevice added in v0.6.0 

type TargetDevice string
const (
	TargetDeviceLambda     TargetDevice = "lambda"
	TargetDeviceMlM4       TargetDevice = "ml_m4"
	TargetDeviceMlM5       TargetDevice = "ml_m5"
	TargetDeviceMlC4       TargetDevice = "ml_c4"
	TargetDeviceMlC5       TargetDevice = "ml_c5"
	TargetDeviceMlP2       TargetDevice = "ml_p2"
	TargetDeviceMlP3       TargetDevice = "ml_p3"
	TargetDeviceJetsonTx1  TargetDevice = "jetson_tx1"
	TargetDeviceJetsonTx2  TargetDevice = "jetson_tx2"
	TargetDeviceJetsonNano TargetDevice = "jetson_nano"
	TargetDeviceRasp3b     TargetDevice = "rasp3b"
	TargetDeviceDeeplens   TargetDevice = "deeplens"
	TargetDeviceRk3399     TargetDevice = "rk3399"
	TargetDeviceRk3288     TargetDevice = "rk3288"
	TargetDeviceAisage     TargetDevice = "aisage"
	TargetDeviceSbeC       TargetDevice = "sbe_c"
	TargetDeviceQcs605     TargetDevice = "qcs605"
	TargetDeviceQcs603     TargetDevice = "qcs603"
)

Enum values for TargetDevice

func (TargetDevice) MarshalValue added in v0.6.0 

func (enum TargetDevice) MarshalValue() (string, error)

func (TargetDevice) MarshalValueBuf added in v0.6.0 

func (enum TargetDevice) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingInputMode 

type TrainingInputMode string
const (
	TrainingInputModePipe TrainingInputMode = "Pipe"
	TrainingInputModeFile TrainingInputMode = "File"
)

Enum values for TrainingInputMode

func (TrainingInputMode) MarshalValue added in v0.3.0 

func (enum TrainingInputMode) MarshalValue() (string, error)

func (TrainingInputMode) MarshalValueBuf added in v0.3.0 

func (enum TrainingInputMode) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingInstanceType 

type TrainingInstanceType string
const (
	TrainingInstanceTypeMlM4Xlarge     TrainingInstanceType = "ml.m4.xlarge"
	TrainingInstanceTypeMlM42xlarge    TrainingInstanceType = "ml.m4.2xlarge"
	TrainingInstanceTypeMlM44xlarge    TrainingInstanceType = "ml.m4.4xlarge"
	TrainingInstanceTypeMlM410xlarge   TrainingInstanceType = "ml.m4.10xlarge"
	TrainingInstanceTypeMlM416xlarge   TrainingInstanceType = "ml.m4.16xlarge"
	TrainingInstanceTypeMlM5Large      TrainingInstanceType = "ml.m5.large"
	TrainingInstanceTypeMlM5Xlarge     TrainingInstanceType = "ml.m5.xlarge"
	TrainingInstanceTypeMlM52xlarge    TrainingInstanceType = "ml.m5.2xlarge"
	TrainingInstanceTypeMlM54xlarge    TrainingInstanceType = "ml.m5.4xlarge"
	TrainingInstanceTypeMlM512xlarge   TrainingInstanceType = "ml.m5.12xlarge"
	TrainingInstanceTypeMlM524xlarge   TrainingInstanceType = "ml.m5.24xlarge"
	TrainingInstanceTypeMlC4Xlarge     TrainingInstanceType = "ml.c4.xlarge"
	TrainingInstanceTypeMlC42xlarge    TrainingInstanceType = "ml.c4.2xlarge"
	TrainingInstanceTypeMlC44xlarge    TrainingInstanceType = "ml.c4.4xlarge"
	TrainingInstanceTypeMlC48xlarge    TrainingInstanceType = "ml.c4.8xlarge"
	TrainingInstanceTypeMlP2Xlarge     TrainingInstanceType = "ml.p2.xlarge"
	TrainingInstanceTypeMlP28xlarge    TrainingInstanceType = "ml.p2.8xlarge"
	TrainingInstanceTypeMlP216xlarge   TrainingInstanceType = "ml.p2.16xlarge"
	TrainingInstanceTypeMlP32xlarge    TrainingInstanceType = "ml.p3.2xlarge"
	TrainingInstanceTypeMlP38xlarge    TrainingInstanceType = "ml.p3.8xlarge"
	TrainingInstanceTypeMlP316xlarge   TrainingInstanceType = "ml.p3.16xlarge"
	TrainingInstanceTypeMlP3dn24xlarge TrainingInstanceType = "ml.p3dn.24xlarge"
	TrainingInstanceTypeMlC5Xlarge     TrainingInstanceType = "ml.c5.xlarge"
	TrainingInstanceTypeMlC52xlarge    TrainingInstanceType = "ml.c5.2xlarge"
	TrainingInstanceTypeMlC54xlarge    TrainingInstanceType = "ml.c5.4xlarge"
	TrainingInstanceTypeMlC59xlarge    TrainingInstanceType = "ml.c5.9xlarge"
	TrainingInstanceTypeMlC518xlarge   TrainingInstanceType = "ml.c5.18xlarge"
)

Enum values for TrainingInstanceType

func (TrainingInstanceType) MarshalValue added in v0.3.0 

func (enum TrainingInstanceType) MarshalValue() (string, error)

func (TrainingInstanceType) MarshalValueBuf added in v0.3.0 

func (enum TrainingInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJob added in v0.6.0 

type TrainingJob struct {

	// Information about the algorithm used for training, and algorithm metadata.
	AlgorithmSpecification *AlgorithmSpecification `type:"structure"`

	// A timestamp that indicates when the training job was created.
	CreationTime *time.Time `type:"timestamp"`

	// To encrypt all communications between ML compute instances in distributed
	// training, choose True. Encryption provides greater security for distributed
	// training, but training might take longer. How long it takes depends on the
	// amount of communication between compute instances, especially if you use
	// a deep learning algorithm in distributed training.
	EnableInterContainerTrafficEncryption *bool `type:"boolean"`

	// If the TrainingJob was created with network isolation, the value is set to
	// true. If network isolation is enabled, nodes can't communicate beyond the
	// VPC they run in.
	EnableNetworkIsolation *bool `type:"boolean"`

	// If the training job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// A list of final metric values that are set when the training job completes.
	// Used only if the training job was configured to use metrics.
	FinalMetricDataList []MetricData `type:"list"`

	// Algorithm-specific parameters.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects that describes each data input channel.
	InputDataConfig []Channel `min:"1" type:"list"`

	// The Amazon Resource Name (ARN) of the labeling job.
	LabelingJobArn *string `type:"string"`

	// A timestamp that indicates when the status of the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// Information about the Amazon S3 location that is configured for storing model
	// artifacts.
	ModelArtifacts *ModelArtifacts `type:"structure"`

	// The S3 path where model artifacts that you configured when creating the job
	// are stored. Amazon SageMaker creates subfolders for model artifacts.
	OutputDataConfig *OutputDataConfig `type:"structure"`

	// Resources, including ML compute instances and ML storage volumes, that are
	// configured for model training.
	ResourceConfig *ResourceConfig `type:"structure"`

	// The AWS Identity and Access Management (IAM) role configured for the training
	// job.
	RoleArn *string `min:"20" type:"string"`

	// Provides detailed information about the state of the training job. For detailed
	// information about the secondary status of the training job, see StatusMessage
	// under SecondaryStatusTransition.
	//
	// Amazon SageMaker provides primary statuses and secondary statuses that apply
	// to each of them:
	//
	// InProgress
	//
	//    * Starting - Starting the training job.
	//
	//    * Downloading - An optional stage for algorithms that support File training
	//    input mode. It indicates that data is being downloaded to the ML storage
	//    volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Uploading - Training is complete and the model artifacts are being uploaded
	//    to the S3 location.
	//
	// Completed
	//
	//    * Completed - The training job has completed.
	//
	// Failed
	//
	//    * Failed - The training job has failed. The reason for the failure is
	//    returned in the FailureReason field of DescribeTrainingJobResponse.
	//
	// Stopped
	//
	//    * MaxRuntimeExceeded - The job stopped because it exceeded the maximum
	//    allowed runtime.
	//
	//    * Stopped - The training job has stopped.
	//
	// Stopping
	//
	//    * Stopping - Stopping the training job.
	//
	// Valid values for SecondaryStatus are subject to change.
	//
	// We no longer support the following secondary statuses:
	//
	//    * LaunchingMLInstances
	//
	//    * PreparingTrainingStack
	//
	//    * DownloadingTrainingImage
	SecondaryStatus SecondaryStatus `type:"string" enum:"true"`

	// A history of all of the secondary statuses that the training job has transitioned
	// through.
	SecondaryStatusTransitions []SecondaryStatusTransition `type:"list"`

	// Specifies a limit to how long a model training job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the training job. Use this
	// API to cap model training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts, so the results of training are not lost.
	StoppingCondition *StoppingCondition `type:"structure"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what)
	// in the AWS Billing and Cost Management User Guide.
	Tags []Tag `type:"list"`

	// Indicates the time when the training job ends on training instances. You
	// are billed for the time interval between the value of TrainingStartTime and
	// this time. For successful jobs and stopped jobs, this is the time after model
	// artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker
	// detects a job failure.
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	TrainingJobArn *string `type:"string"`

	// The name of the training job.
	TrainingJobName *string `min:"1" type:"string"`

	// The status of the training job.
	//
	// Training job statuses are:
	//
	//    * InProgress - The training is in progress.
	//
	//    * Completed - The training job has completed.
	//
	//    * Failed - The training job has failed. To see the reason for the failure,
	//    see the FailureReason field in the response to a DescribeTrainingJobResponse
	//    call.
	//
	//    * Stopping - The training job is stopping.
	//
	//    * Stopped - The training job has stopped.
	//
	// For more detailed information, see SecondaryStatus.
	TrainingJobStatus TrainingJobStatus `type:"string" enum:"true"`

	// Indicates the time when the training job starts on training instances. You
	// are billed for the time interval between this time and the value of TrainingEndTime.
	// The start time in CloudWatch Logs might be later than this time. The difference
	// is due to the time it takes to download the training data and to the size
	// of the training container.
	TrainingStartTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the associated hyperparameter tuning job
	// if the training job was launched by a hyperparameter tuning job.
	TuningJobArn *string `type:"string"`

	// A VpcConfig object that specifies the VPC that this training job has access
	// to. For more information, see Protect Training Jobs by Using an Amazon Virtual
	// Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).
	VpcConfig *VpcConfig `type:"structure"`
	// contains filtered or unexported fields
}

Contains information about a training job.

func (TrainingJob) String added in v0.6.0 

func (s TrainingJob) String() string

String returns the string representation

type TrainingJobDefinition added in v0.6.0 

type TrainingJobDefinition struct {

	// The hyperparameters used for the training job.
	HyperParameters map[string]string `type:"map"`

	// An array of Channel objects, each of which specifies an input source.
	//
	// InputDataConfig is a required field
	InputDataConfig []Channel `min:"1" type:"list" required:"true"`

	// the path to the S3 bucket where you want to store model artifacts. Amazon
	// SageMaker creates subfolders for the artifacts.
	//
	// OutputDataConfig is a required field
	OutputDataConfig *OutputDataConfig `type:"structure" required:"true"`

	// The resources, including the ML compute instances and ML storage volumes,
	// to use for model training.
	//
	// ResourceConfig is a required field
	ResourceConfig *ResourceConfig `type:"structure" required:"true"`

	// Specifies a limit to how long a model training job can run. When the job
	// reaches the time limit, Amazon SageMaker ends the training job. Use this
	// API to cap model training costs.
	//
	// To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which
	// delays job termination for 120 seconds. Algorithms can use this 120-second
	// window to save the model artifacts.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// The input mode used by the algorithm for the training job. For the input
	// modes that Amazon SageMaker algorithms support, see Algorithms (https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	//
	// If an algorithm supports the File input mode, Amazon SageMaker downloads
	// the training data from S3 to the provisioned ML storage Volume, and mounts
	// the directory to docker volume for training container. If an algorithm supports
	// the Pipe input mode, Amazon SageMaker streams data directly from S3 to the
	// container.
	//
	// TrainingInputMode is a required field
	TrainingInputMode TrainingInputMode `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Defines the input needed to run a training job using the algorithm.

func (TrainingJobDefinition) String added in v0.6.0 

func (s TrainingJobDefinition) String() string

String returns the string representation

func (*TrainingJobDefinition) Validate added in v0.6.0 

func (s *TrainingJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TrainingJobEarlyStoppingType added in v0.7.0 

type TrainingJobEarlyStoppingType string
const (
	TrainingJobEarlyStoppingTypeOff  TrainingJobEarlyStoppingType = "Off"
	TrainingJobEarlyStoppingTypeAuto TrainingJobEarlyStoppingType = "Auto"
)

Enum values for TrainingJobEarlyStoppingType

func (TrainingJobEarlyStoppingType) MarshalValue added in v0.7.0 

func (enum TrainingJobEarlyStoppingType) MarshalValue() (string, error)

func (TrainingJobEarlyStoppingType) MarshalValueBuf added in v0.7.0 

func (enum TrainingJobEarlyStoppingType) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJobSortByOptions added in v0.5.0 

type TrainingJobSortByOptions string
const (
	TrainingJobSortByOptionsName                      TrainingJobSortByOptions = "Name"
	TrainingJobSortByOptionsCreationTime              TrainingJobSortByOptions = "CreationTime"
	TrainingJobSortByOptionsStatus                    TrainingJobSortByOptions = "Status"
	TrainingJobSortByOptionsFinalObjectiveMetricValue TrainingJobSortByOptions = "FinalObjectiveMetricValue"
)

Enum values for TrainingJobSortByOptions

func (TrainingJobSortByOptions) MarshalValue added in v0.5.0 

func (enum TrainingJobSortByOptions) MarshalValue() (string, error)

func (TrainingJobSortByOptions) MarshalValueBuf added in v0.5.0 

func (enum TrainingJobSortByOptions) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJobStatus 

type TrainingJobStatus string
const (
	TrainingJobStatusInProgress TrainingJobStatus = "InProgress"
	TrainingJobStatusCompleted  TrainingJobStatus = "Completed"
	TrainingJobStatusFailed     TrainingJobStatus = "Failed"
	TrainingJobStatusStopping   TrainingJobStatus = "Stopping"
	TrainingJobStatusStopped    TrainingJobStatus = "Stopped"
)

Enum values for TrainingJobStatus

func (TrainingJobStatus) MarshalValue added in v0.3.0 

func (enum TrainingJobStatus) MarshalValue() (string, error)

func (TrainingJobStatus) MarshalValueBuf added in v0.3.0 

func (enum TrainingJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type TrainingJobStatusCounters added in v0.5.0 

type TrainingJobStatusCounters struct {

	// The number of completed training jobs launched by the hyperparameter tuning
	// job.
	Completed *int64 `type:"integer"`

	// The number of in-progress training jobs launched by a hyperparameter tuning
	// job.
	InProgress *int64 `type:"integer"`

	// The number of training jobs that failed and can't be retried. A failed training
	// job can't be retried if it failed because a client error occurred.
	NonRetryableError *int64 `type:"integer"`

	// The number of training jobs that failed, but can be retried. A failed training
	// job can be retried only if it failed because an internal service error occurred.
	RetryableError *int64 `type:"integer"`

	// The number of training jobs launched by a hyperparameter tuning job that
	// were manually stopped.
	Stopped *int64 `type:"integer"`
	// contains filtered or unexported fields
}

The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.

func (TrainingJobStatusCounters) String added in v0.5.0 

func (s TrainingJobStatusCounters) String() string

String returns the string representation

type TrainingJobSummary 

type TrainingJobSummary struct {

	// A timestamp that shows when the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// Timestamp when the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// A timestamp that shows when the training job ended. This field is set only
	// if the training job has one of the terminal statuses (Completed, Failed,
	// or Stopped).
	TrainingEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the training job.
	//
	// TrainingJobArn is a required field
	TrainingJobArn *string `type:"string" required:"true"`

	// The name of the training job that you want a summary for.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`

	// The status of the training job.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus TrainingJobStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Provides summary information about a training job.

func (TrainingJobSummary) String 

func (s TrainingJobSummary) String() string

String returns the string representation

type TrainingSpecification added in v0.6.0 

type TrainingSpecification struct {

	// A list of MetricDefinition objects, which are used for parsing metrics generated
	// by the algorithm.
	MetricDefinitions []MetricDefinition `type:"list"`

	// A list of the HyperParameterSpecification objects, that define the supported
	// hyperparameters. This is required if the algorithm supports automatic model
	// tuning.>
	SupportedHyperParameters []HyperParameterSpecification `type:"list"`

	// A list of the instance types that this algorithm can use for training.
	//
	// SupportedTrainingInstanceTypes is a required field
	SupportedTrainingInstanceTypes []TrainingInstanceType `type:"list" required:"true"`

	// A list of the metrics that the algorithm emits that can be used as the objective
	// metric in a hyperparameter tuning job.
	SupportedTuningJobObjectiveMetrics []HyperParameterTuningJobObjective `type:"list"`

	// Indicates whether the algorithm supports distributed training. If set to
	// false, buyers can’t request more than one instance during training.
	SupportsDistributedTraining *bool `type:"boolean"`

	// A list of ChannelSpecification objects, which specify the input sources to
	// be used by the algorithm.
	//
	// TrainingChannels is a required field
	TrainingChannels []ChannelSpecification `min:"1" type:"list" required:"true"`

	// The Amazon ECR registry path of the Docker image that contains the training
	// algorithm.
	//
	// TrainingImage is a required field
	TrainingImage *string `type:"string" required:"true"`

	// An MD5 hash of the training algorithm that identifies the Docker image used
	// for training.
	TrainingImageDigest *string `type:"string"`
	// contains filtered or unexported fields
}

Defines how the algorithm is used for a training job.

func (TrainingSpecification) String added in v0.6.0 

func (s TrainingSpecification) String() string

String returns the string representation

func (*TrainingSpecification) Validate added in v0.6.0 

func (s *TrainingSpecification) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformDataSource added in v0.5.0 

type TransformDataSource struct {

	// The S3 location of the data source that is associated with a channel.
	//
	// S3DataSource is a required field
	S3DataSource *TransformS3DataSource `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Describes the location of the channel data.

func (TransformDataSource) String added in v0.5.0 

func (s TransformDataSource) String() string

String returns the string representation

func (*TransformDataSource) Validate added in v0.5.0 

func (s *TransformDataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformInput added in v0.5.0 

type TransformInput struct {

	// If your transform data is compressed, specify the compression type. Amazon
	// SageMaker automatically decompresses the data for the transform job accordingly.
	// The default value is None.
	CompressionType CompressionType `type:"string" enum:"true"`

	// The multipurpose internet mail extension (MIME) type of the data. Amazon
	// SageMaker uses the MIME type with each http call to transfer data to the
	// transform job.
	ContentType *string `type:"string"`

	// Describes the location of the channel data, which is, the S3 location of
	// the input data that the model can consume.
	//
	// DataSource is a required field
	DataSource *TransformDataSource `type:"structure" required:"true"`

	// The method to use to split the transform job's data files into smaller batches.
	// Splitting is necessary when the total size of each object is too large to
	// fit in a single request. You can also use data splitting to improve performance
	// by processing multiple concurrent mini-batches. The default value for SplitType
	// is None, which indicates that input data files are not split, and request
	// payloads contain the entire contents of an input object. Set the value of
	// this parameter to Line to split records on a newline character boundary.
	// SplitType also supports a number of record-oriented binary data formats.
	//
	// When splitting is enabled, the size of a mini-batch depends on the values
	// of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy
	// is MultiRecord, Amazon SageMaker sends the maximum number of records in each
	// request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is
	// SingleRecord, Amazon SageMaker sends individual records in each request.
	//
	// Some data formats represent a record as a binary payload wrapped with extra
	// padding bytes. When splitting is applied to a binary data format, padding
	// is removed if the value of BatchStrategy is set to SingleRecord. Padding
	// is not removed if the value of BatchStrategy is set to MultiRecord.
	//
	// For more information about the RecordIO, see Data Format (http://mxnet.io/architecture/note_data_loading.html#data-format)
	// in the MXNet documentation. For more information about the TFRecord, see
	// Consuming TFRecord data (https://www.tensorflow.org/guide/datasets#consuming_tfrecord_data)
	// in the TensorFlow documentation.
	SplitType SplitType `type:"string" enum:"true"`
	// contains filtered or unexported fields
}

Describes the input source of a transform job and the way the transform job consumes it.

func (TransformInput) String added in v0.5.0 

func (s TransformInput) String() string

String returns the string representation

func (*TransformInput) Validate added in v0.5.0 

func (s *TransformInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformInstanceType added in v0.5.0 

type TransformInstanceType string
const (
	TransformInstanceTypeMlM4Xlarge   TransformInstanceType = "ml.m4.xlarge"
	TransformInstanceTypeMlM42xlarge  TransformInstanceType = "ml.m4.2xlarge"
	TransformInstanceTypeMlM44xlarge  TransformInstanceType = "ml.m4.4xlarge"
	TransformInstanceTypeMlM410xlarge TransformInstanceType = "ml.m4.10xlarge"
	TransformInstanceTypeMlM416xlarge TransformInstanceType = "ml.m4.16xlarge"
	TransformInstanceTypeMlC4Xlarge   TransformInstanceType = "ml.c4.xlarge"
	TransformInstanceTypeMlC42xlarge  TransformInstanceType = "ml.c4.2xlarge"
	TransformInstanceTypeMlC44xlarge  TransformInstanceType = "ml.c4.4xlarge"
	TransformInstanceTypeMlC48xlarge  TransformInstanceType = "ml.c4.8xlarge"
	TransformInstanceTypeMlP2Xlarge   TransformInstanceType = "ml.p2.xlarge"
	TransformInstanceTypeMlP28xlarge  TransformInstanceType = "ml.p2.8xlarge"
	TransformInstanceTypeMlP216xlarge TransformInstanceType = "ml.p2.16xlarge"
	TransformInstanceTypeMlP32xlarge  TransformInstanceType = "ml.p3.2xlarge"
	TransformInstanceTypeMlP38xlarge  TransformInstanceType = "ml.p3.8xlarge"
	TransformInstanceTypeMlP316xlarge TransformInstanceType = "ml.p3.16xlarge"
	TransformInstanceTypeMlC5Xlarge   TransformInstanceType = "ml.c5.xlarge"
	TransformInstanceTypeMlC52xlarge  TransformInstanceType = "ml.c5.2xlarge"
	TransformInstanceTypeMlC54xlarge  TransformInstanceType = "ml.c5.4xlarge"
	TransformInstanceTypeMlC59xlarge  TransformInstanceType = "ml.c5.9xlarge"
	TransformInstanceTypeMlC518xlarge TransformInstanceType = "ml.c5.18xlarge"
	TransformInstanceTypeMlM5Large    TransformInstanceType = "ml.m5.large"
	TransformInstanceTypeMlM5Xlarge   TransformInstanceType = "ml.m5.xlarge"
	TransformInstanceTypeMlM52xlarge  TransformInstanceType = "ml.m5.2xlarge"
	TransformInstanceTypeMlM54xlarge  TransformInstanceType = "ml.m5.4xlarge"
	TransformInstanceTypeMlM512xlarge TransformInstanceType = "ml.m5.12xlarge"
	TransformInstanceTypeMlM524xlarge TransformInstanceType = "ml.m5.24xlarge"
)

Enum values for TransformInstanceType

func (TransformInstanceType) MarshalValue added in v0.5.0 

func (enum TransformInstanceType) MarshalValue() (string, error)

func (TransformInstanceType) MarshalValueBuf added in v0.5.0 

func (enum TransformInstanceType) MarshalValueBuf(b []byte) ([]byte, error)

type TransformJobDefinition added in v0.6.0 

type TransformJobDefinition struct {

	// A string that determines the number of records included in a single mini-batch.
	//
	// SingleRecord means only one record is used per mini-batch. MultiRecord means
	// a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB
	// limit.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// The maximum number of parallel requests that can be sent to each instance
	// in a transform job. The default value is 1.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum payload size allowed, in MB. A payload is the data portion of
	// a record (without metadata).
	MaxPayloadInMB *int64 `type:"integer"`

	// A description of the input source and the way the transform job consumes
	// it.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// Identifies the Amazon S3 location where you want Amazon SageMaker to save
	// the results from the transform job.
	//
	// TransformOutput is a required field
	TransformOutput *TransformOutput `type:"structure" required:"true"`

	// Identifies the ML compute instances for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

func (TransformJobDefinition) String added in v0.6.0 

func (s TransformJobDefinition) String() string

String returns the string representation

func (*TransformJobDefinition) Validate added in v0.6.0 

func (s *TransformJobDefinition) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformJobStatus added in v0.5.0 

type TransformJobStatus string
const (
	TransformJobStatusInProgress TransformJobStatus = "InProgress"
	TransformJobStatusCompleted  TransformJobStatus = "Completed"
	TransformJobStatusFailed     TransformJobStatus = "Failed"
	TransformJobStatusStopping   TransformJobStatus = "Stopping"
	TransformJobStatusStopped    TransformJobStatus = "Stopped"
)

Enum values for TransformJobStatus

func (TransformJobStatus) MarshalValue added in v0.5.0 

func (enum TransformJobStatus) MarshalValue() (string, error)

func (TransformJobStatus) MarshalValueBuf added in v0.5.0 

func (enum TransformJobStatus) MarshalValueBuf(b []byte) ([]byte, error)

type TransformJobSummary added in v0.5.0 

type TransformJobSummary struct {

	// A timestamp that shows when the transform Job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// If the transform job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// Indicates when the transform job was last modified.
	LastModifiedTime *time.Time `type:"timestamp"`

	// Indicates when the transform job ends on compute instances. For successful
	// jobs and stopped jobs, this is the exact time recorded after the results
	// are uploaded. For failed jobs, this is when Amazon SageMaker detected that
	// the job failed.
	TransformEndTime *time.Time `type:"timestamp"`

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`

	// The name of the transform job.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// The status of the transform job.
	//
	// TransformJobStatus is a required field
	TransformJobStatus TransformJobStatus `type:"string" required:"true" enum:"true"`
	// contains filtered or unexported fields
}

Provides a summary of a transform job. Multiple TransformJobSummary objects are returned as a list after in response to a ListTransformJobs call.

func (TransformJobSummary) String added in v0.5.0 

func (s TransformJobSummary) String() string

String returns the string representation

type TransformOutput added in v0.5.0 

type TransformOutput struct {

	// The MIME type used to specify the output data. Amazon SageMaker uses the
	// MIME type with each http call to transfer data from the transform job.
	Accept *string `type:"string"`

	// Defines how to assemble the results of the transform job as a single S3 object.
	// Choose a format that is most convenient to you. To concatenate the results
	// in binary format, specify None. To add a newline character at the end of
	// every transformed record, specify Line.
	AssembleWith AssemblyType `type:"string" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt the model artifacts at rest using Amazon S3 server-side encryption.
	// The KmsKeyId can be any of the following formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // KMS Key Alias "alias/ExampleAlias"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key Alias "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
	//
	// If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS
	// key for Amazon S3 for your role's account. For more information, see KMS-Managed
	// Encryption Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in the Amazon Simple Storage Service Developer Guide.
	//
	// The KMS key policy must grant permission to the IAM role that you specify
	// in your CreateTramsformJob request. For more information, see Using Key Policies
	// in AWS KMS (http://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html)
	// in the AWS Key Management Service Developer Guide.
	KmsKeyId *string `type:"string"`

	// The Amazon S3 path where you want Amazon SageMaker to store the results of
	// the transform job. For example, s3://bucket-name/key-name-prefix.
	//
	// For every S3 object used as input for the transform job, batch transform
	// stores the transformed data with an .out suffix in a corresponding subfolder
	// in the location in the output prefix. For example, for the input data stored
	// at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform
	// stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out.
	// Batch transform doesn't upload partially processed objects. For an input
	// S3 object that contains multiple records, it creates an .out file only if
	// the transform job succeeds on the entire file. When the input contains multiple
	// S3 objects, the batch transform job processes the listed S3 objects and uploads
	// only the output for successfully processed objects. If any object fails in
	// the transform job batch transform marks the job as failed to prompt investigation.
	//
	// S3OutputPath is a required field
	S3OutputPath *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the results of a transform job.

func (TransformOutput) String added in v0.5.0 

func (s TransformOutput) String() string

String returns the string representation

func (*TransformOutput) Validate added in v0.5.0 

func (s *TransformOutput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformResources added in v0.5.0 

type TransformResources struct {

	// The number of ML compute instances to use in the transform job. For distributed
	// transform jobs, specify a value greater than 1. The default value is 1.
	//
	// InstanceCount is a required field
	InstanceCount *int64 `min:"1" type:"integer" required:"true"`

	// The ML compute instance type for the transform job. If you are using built-in
	// algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge
	// or ml.m5.large instance types.
	//
	// InstanceType is a required field
	InstanceType TransformInstanceType `type:"string" required:"true" enum:"true"`

	// The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to
	// encrypt data on the storage volume attached to the ML compute instance(s)
	// that run the batch transform job. The VolumeKmsKeyId can be any of the following
	// formats:
	//
	//    * // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab"
	//
	//    * // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
	VolumeKmsKeyId *string `type:"string"`
	// contains filtered or unexported fields
}

Describes the resources, including ML instance types and ML instance count, to use for transform job.

func (TransformResources) String added in v0.5.0 

func (s TransformResources) String() string

String returns the string representation

func (*TransformResources) Validate added in v0.5.0 

func (s *TransformResources) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type TransformS3DataSource added in v0.5.0 

type TransformS3DataSource struct {

	// If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker
	// uses all objects with the specified key name prefix for batch transform.
	//
	// If you choose ManifestFile, S3Uri identifies an object that is a manifest
	// file containing a list of object keys that you want Amazon SageMaker to use
	// for batch transform.
	//
	// The following values are compatible: ManifestFile, S3Prefix
	//
	// The following value is not compatible: AugmentedManifestFile
	//
	// S3DataType is a required field
	S3DataType S3DataType `type:"string" required:"true" enum:"true"`

	// Depending on the value specified for the S3DataType, identifies either a
	// key name prefix or a manifest. For example:
	//
	//    * A key name prefix might look like this: s3://bucketname/exampleprefix.
	//
	//    * A manifest might look like this: s3://bucketname/example.manifest The
	//    manifest is an S3 object which is a JSON file with the following format:
	//    [ {"prefix": "s3://customer_bucket/some/prefix/"}, "relative/path/to/custdata-1",
	//    "relative/path/custdata-2", ... ] The preceding JSON matches the following
	//    S3Uris: s3://customer_bucket/some/prefix/relative/path/to/custdata-1 s3://customer_bucket/some/prefix/relative/path/custdata-1
	//    ... The complete set of S3Uris in this manifest constitutes the input
	//    data for the channel for this datasource. The object that each S3Uris
	//    points to must be readable by the IAM role that Amazon SageMaker uses
	//    to perform tasks on your behalf.
	//
	// S3Uri is a required field
	S3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Describes the S3 data source.

func (TransformS3DataSource) String added in v0.5.0 

func (s TransformS3DataSource) String() string

String returns the string representation

func (*TransformS3DataSource) Validate added in v0.5.0 

func (s *TransformS3DataSource) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type USD added in v0.6.0 

type USD struct {

	// The fractional portion, in cents, of the amount.
	Cents *int64 `type:"integer"`

	// The whole number of dollars in the amount.
	Dollars *int64 `type:"integer"`

	// Fractions of a cent, in tenths.
	TenthFractionsOfACent *int64 `type:"integer"`
	// contains filtered or unexported fields
}

Represents an amount of money in United States dollars/

func (USD) String added in v0.6.0 

func (s USD) String() string

String returns the string representation

type UiConfig added in v0.6.0 

type UiConfig struct {

	// The Amazon S3 bucket location of the UI template. For more information about
	// the contents of a UI template, see Creating Your Custom Labeling Task Template
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step2.html).
	//
	// UiTemplateS3Uri is a required field
	UiTemplateS3Uri *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provided configuration information for the worker UI for a labeling job.

func (UiConfig) String added in v0.6.0 

func (s UiConfig) String() string

String returns the string representation

func (*UiConfig) Validate added in v0.6.0 

func (s *UiConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UiTemplate added in v0.6.0 

type UiTemplate struct {

	// The content of the Liquid template for the worker user interface.
	//
	// Content is a required field
	Content *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

The Liquid template for the worker user interface.

func (UiTemplate) String added in v0.6.0 

func (s UiTemplate) String() string

String returns the string representation

func (*UiTemplate) Validate added in v0.6.0 

func (s *UiTemplate) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateCodeRepositoryInput added in v0.6.0 

type UpdateCodeRepositoryInput struct {

	// The name of the Git repository to update.
	//
	// CodeRepositoryName is a required field
	CodeRepositoryName *string `min:"1" type:"string" required:"true"`

	// The configuration of the git repository, including the URL and the Amazon
	// Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials
	// used to access the repository. The secret must have a staging label of AWSCURRENT
	// and must be in the following format:
	//
	// {"username": UserName, "password": Password}
	GitConfig *GitConfigForUpdate `type:"structure"`
	// contains filtered or unexported fields
}

func (UpdateCodeRepositoryInput) String added in v0.6.0 

func (s UpdateCodeRepositoryInput) String() string

String returns the string representation

func (*UpdateCodeRepositoryInput) Validate added in v0.6.0 

func (s *UpdateCodeRepositoryInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateCodeRepositoryOutput added in v0.6.0 

type UpdateCodeRepositoryOutput struct {

	// The ARN of the Git repository.
	//
	// CodeRepositoryArn is a required field
	CodeRepositoryArn *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateCodeRepositoryOutput) String added in v0.6.0 

func (s UpdateCodeRepositoryOutput) String() string

String returns the string representation

type UpdateCodeRepositoryRequest added in v0.6.0 

type UpdateCodeRepositoryRequest struct {
	*aws.Request
	Input *UpdateCodeRepositoryInput
	Copy  func(*UpdateCodeRepositoryInput) UpdateCodeRepositoryRequest
}

UpdateCodeRepositoryRequest is the request type for the UpdateCodeRepository API operation.

func (UpdateCodeRepositoryRequest) Send added in v0.6.0 

func (r UpdateCodeRepositoryRequest) Send(ctx context.Context) (*UpdateCodeRepositoryResponse, error)

Send marshals and sends the UpdateCodeRepository API request.

type UpdateCodeRepositoryResponse added in v0.9.0 

type UpdateCodeRepositoryResponse struct {
	*UpdateCodeRepositoryOutput
	// contains filtered or unexported fields
}

UpdateCodeRepositoryResponse is the response type for the UpdateCodeRepository API operation.

func (*UpdateCodeRepositoryResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateCodeRepositoryResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateCodeRepository request.

type UpdateEndpointInput 

type UpdateEndpointInput struct {

	// The name of the new endpoint configuration.
	//
	// EndpointConfigName is a required field
	EndpointConfigName *string `type:"string" required:"true"`

	// The name of the endpoint whose configuration you want to update.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointInput) String 

func (s UpdateEndpointInput) String() string

String returns the string representation

func (*UpdateEndpointInput) Validate 

func (s *UpdateEndpointInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateEndpointOutput 

type UpdateEndpointOutput struct {

	// The Amazon Resource Name (ARN) of the endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointOutput) String 

func (s UpdateEndpointOutput) String() string

String returns the string representation

type UpdateEndpointRequest 

type UpdateEndpointRequest struct {
	*aws.Request
	Input *UpdateEndpointInput
	Copy  func(*UpdateEndpointInput) UpdateEndpointRequest
}

UpdateEndpointRequest is the request type for the UpdateEndpoint API operation.

func (UpdateEndpointRequest) Send 

func (r UpdateEndpointRequest) Send(ctx context.Context) (*UpdateEndpointResponse, error)

Send marshals and sends the UpdateEndpoint API request.

type UpdateEndpointResponse added in v0.9.0 

type UpdateEndpointResponse struct {
	*UpdateEndpointOutput
	// contains filtered or unexported fields
}

UpdateEndpointResponse is the response type for the UpdateEndpoint API operation.

func (*UpdateEndpointResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateEndpointResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateEndpoint request.

type UpdateEndpointWeightsAndCapacitiesInput 

type UpdateEndpointWeightsAndCapacitiesInput struct {

	// An object that provides new capacity and weight values for a variant.
	//
	// DesiredWeightsAndCapacities is a required field
	DesiredWeightsAndCapacities []DesiredWeightAndCapacity `min:"1" type:"list" required:"true"`

	// The name of an existing Amazon SageMaker endpoint.
	//
	// EndpointName is a required field
	EndpointName *string `type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointWeightsAndCapacitiesInput) String 

func (s UpdateEndpointWeightsAndCapacitiesInput) String() string

String returns the string representation

func (*UpdateEndpointWeightsAndCapacitiesInput) Validate 

func (s *UpdateEndpointWeightsAndCapacitiesInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateEndpointWeightsAndCapacitiesOutput 

type UpdateEndpointWeightsAndCapacitiesOutput struct {

	// The Amazon Resource Name (ARN) of the updated endpoint.
	//
	// EndpointArn is a required field
	EndpointArn *string `min:"20" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateEndpointWeightsAndCapacitiesOutput) String 

func (s UpdateEndpointWeightsAndCapacitiesOutput) String() string

String returns the string representation

type UpdateEndpointWeightsAndCapacitiesRequest 

type UpdateEndpointWeightsAndCapacitiesRequest struct {
	*aws.Request
	Input *UpdateEndpointWeightsAndCapacitiesInput
	Copy  func(*UpdateEndpointWeightsAndCapacitiesInput) UpdateEndpointWeightsAndCapacitiesRequest
}

UpdateEndpointWeightsAndCapacitiesRequest is the request type for the UpdateEndpointWeightsAndCapacities API operation.

func (UpdateEndpointWeightsAndCapacitiesRequest) Send 

func (r UpdateEndpointWeightsAndCapacitiesRequest) Send(ctx context.Context) (*UpdateEndpointWeightsAndCapacitiesResponse, error)

Send marshals and sends the UpdateEndpointWeightsAndCapacities API request.

type UpdateEndpointWeightsAndCapacitiesResponse added in v0.9.0 

type UpdateEndpointWeightsAndCapacitiesResponse struct {
	*UpdateEndpointWeightsAndCapacitiesOutput
	// contains filtered or unexported fields
}

UpdateEndpointWeightsAndCapacitiesResponse is the response type for the UpdateEndpointWeightsAndCapacities API operation.

func (*UpdateEndpointWeightsAndCapacitiesResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateEndpointWeightsAndCapacitiesResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateEndpointWeightsAndCapacities request.

type UpdateNotebookInstanceInput 

type UpdateNotebookInstanceInput struct {

	// A list of the Elastic Inference (EI) instance types to associate with this
	// notebook instance. Currently only one EI instance type can be associated
	// with a notebook instance. For more information, see Using Elastic Inference
	// in Amazon SageMaker (sagemaker/latest/dg/ei.html).
	AcceleratorTypes []NotebookInstanceAcceleratorType `type:"list"`

	// An array of up to three Git repositories to associate with the notebook instance.
	// These can be either the names of Git repositories stored as resources in
	// your account, or the URL of Git repositories in AWS CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html)
	// or in any other Git repository. These repositories are cloned at the same
	// level as the default repository of your notebook instance. For more information,
	// see Associating Git Repositories with Amazon SageMaker Notebook Instances
	// (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	AdditionalCodeRepositories []string `type:"list"`

	// The Git repository to associate with the notebook instance as its default
	// code repository. This can be either the name of a Git repository stored as
	// a resource in your account, or the URL of a Git repository in AWS CodeCommit
	// (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or
	// in any other Git repository. When you open a notebook instance, it opens
	// in the directory that contains this repository. For more information, see
	// Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html).
	DefaultCodeRepository *string `min:"1" type:"string"`

	// A list of the Elastic Inference (EI) instance types to remove from this notebook
	// instance. This operation is idempotent. If you specify an accelerator type
	// that is not associated with the notebook instance when you call this method,
	// it does not throw an error.
	DisassociateAcceleratorTypes *bool `type:"boolean"`

	// A list of names or URLs of the default Git repositories to remove from this
	// notebook instance. This operation is idempotent. If you specify a Git repository
	// that is not associated with the notebook instance when you call this method,
	// it does not throw an error.
	DisassociateAdditionalCodeRepositories *bool `type:"boolean"`

	// The name or URL of the default Git repository to remove from this notebook
	// instance. This operation is idempotent. If you specify a Git repository that
	// is not associated with the notebook instance when you call this method, it
	// does not throw an error.
	DisassociateDefaultCodeRepository *bool `type:"boolean"`

	// Set to true to remove the notebook instance lifecycle configuration currently
	// associated with the notebook instance. This operation is idempotent. If you
	// specify a lifecycle configuration that is not associated with the notebook
	// instance when you call this method, it does not throw an error.
	DisassociateLifecycleConfig *bool `type:"boolean"`

	// The Amazon ML compute instance type.
	InstanceType InstanceType `type:"string" enum:"true"`

	// The name of a lifecycle configuration to associate with the notebook instance.
	// For information about lifestyle configurations, see Step 2.1: (Optional)
	// Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html).
	LifecycleConfigName *string `type:"string"`

	// The name of the notebook instance to update.
	//
	// NotebookInstanceName is a required field
	NotebookInstanceName *string `type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
	// assume to access the notebook instance. For more information, see Amazon
	// SageMaker Roles (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// To be able to pass this role to Amazon SageMaker, the caller of this API
	// must have the iam:PassRole permission.
	RoleArn *string `min:"20" type:"string"`

	// Whether root access is enabled or disabled for users of the notebook instance.
	// The default value is Enabled.
	//
	// If you set this to Disabled, users don't have root access on the notebook
	// instance, but lifecycle configuration scripts still run with root permissions.
	RootAccess RootAccess `type:"string" enum:"true"`

	// The size, in GB, of the ML storage volume to attach to the notebook instance.
	// The default value is 5 GB. ML storage volumes are encrypted, so Amazon SageMaker
	// can't determine the amount of available free space on the volume. Because
	// of this, you can increase the volume size when you update a notebook instance,
	// but you can't decrease the volume size. If you want to decrease the size
	// of the ML storage volume in use, create a new notebook instance with the
	// desired size.
	VolumeSizeInGB *int64 `min:"5" type:"integer"`
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceInput) String 

func (s UpdateNotebookInstanceInput) String() string

String returns the string representation

func (*UpdateNotebookInstanceInput) Validate 

func (s *UpdateNotebookInstanceInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateNotebookInstanceLifecycleConfigInput added in v0.4.0 

type UpdateNotebookInstanceLifecycleConfigInput struct {

	// The name of the lifecycle configuration.
	//
	// NotebookInstanceLifecycleConfigName is a required field
	NotebookInstanceLifecycleConfigName *string `type:"string" required:"true"`

	// The shell script that runs only once, when you create a notebook instance.
	// The shell script must be a base64-encoded string.
	OnCreate []NotebookInstanceLifecycleHook `type:"list"`

	// The shell script that runs every time you start a notebook instance, including
	// when you create the notebook instance. The shell script must be a base64-encoded
	// string.
	OnStart []NotebookInstanceLifecycleHook `type:"list"`
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceLifecycleConfigInput) String added in v0.4.0 

func (s UpdateNotebookInstanceLifecycleConfigInput) String() string

String returns the string representation

func (*UpdateNotebookInstanceLifecycleConfigInput) Validate added in v0.4.0 

func (s *UpdateNotebookInstanceLifecycleConfigInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateNotebookInstanceLifecycleConfigOutput added in v0.4.0 

type UpdateNotebookInstanceLifecycleConfigOutput struct {
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceLifecycleConfigOutput) String added in v0.4.0 

func (s UpdateNotebookInstanceLifecycleConfigOutput) String() string

String returns the string representation

type UpdateNotebookInstanceLifecycleConfigRequest added in v0.4.0 

type UpdateNotebookInstanceLifecycleConfigRequest struct {
	*aws.Request
	Input *UpdateNotebookInstanceLifecycleConfigInput
	Copy  func(*UpdateNotebookInstanceLifecycleConfigInput) UpdateNotebookInstanceLifecycleConfigRequest
}

UpdateNotebookInstanceLifecycleConfigRequest is the request type for the UpdateNotebookInstanceLifecycleConfig API operation.

func (UpdateNotebookInstanceLifecycleConfigRequest) Send added in v0.4.0 

func (r UpdateNotebookInstanceLifecycleConfigRequest) Send(ctx context.Context) (*UpdateNotebookInstanceLifecycleConfigResponse, error)

Send marshals and sends the UpdateNotebookInstanceLifecycleConfig API request.

type UpdateNotebookInstanceLifecycleConfigResponse added in v0.9.0 

type UpdateNotebookInstanceLifecycleConfigResponse struct {
	*UpdateNotebookInstanceLifecycleConfigOutput
	// contains filtered or unexported fields
}

UpdateNotebookInstanceLifecycleConfigResponse is the response type for the UpdateNotebookInstanceLifecycleConfig API operation.

func (*UpdateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateNotebookInstanceLifecycleConfigResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateNotebookInstanceLifecycleConfig request.

type UpdateNotebookInstanceOutput 

type UpdateNotebookInstanceOutput struct {
	// contains filtered or unexported fields
}

func (UpdateNotebookInstanceOutput) String 

func (s UpdateNotebookInstanceOutput) String() string

String returns the string representation

type UpdateNotebookInstanceRequest 

type UpdateNotebookInstanceRequest struct {
	*aws.Request
	Input *UpdateNotebookInstanceInput
	Copy  func(*UpdateNotebookInstanceInput) UpdateNotebookInstanceRequest
}

UpdateNotebookInstanceRequest is the request type for the UpdateNotebookInstance API operation.

func (UpdateNotebookInstanceRequest) Send 

func (r UpdateNotebookInstanceRequest) Send(ctx context.Context) (*UpdateNotebookInstanceResponse, error)

Send marshals and sends the UpdateNotebookInstance API request.

type UpdateNotebookInstanceResponse added in v0.9.0 

type UpdateNotebookInstanceResponse struct {
	*UpdateNotebookInstanceOutput
	// contains filtered or unexported fields
}

UpdateNotebookInstanceResponse is the response type for the UpdateNotebookInstance API operation.

func (*UpdateNotebookInstanceResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateNotebookInstanceResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateNotebookInstance request.

type UpdateWorkteamInput added in v0.6.0 

type UpdateWorkteamInput struct {

	// An updated description for the work team.
	Description *string `min:"1" type:"string"`

	// A list of MemberDefinition objects that contain the updated work team members.
	MemberDefinitions []MemberDefinition `min:"1" type:"list"`

	// Configures SNS topic notifications for available or expiring work items
	NotificationConfiguration *NotificationConfiguration `type:"structure"`

	// The name of the work team to update.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateWorkteamInput) String added in v0.6.0 

func (s UpdateWorkteamInput) String() string

String returns the string representation

func (*UpdateWorkteamInput) Validate added in v0.6.0 

func (s *UpdateWorkteamInput) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type UpdateWorkteamOutput added in v0.6.0 

type UpdateWorkteamOutput struct {

	// A Workteam object that describes the updated work team.
	//
	// Workteam is a required field
	Workteam *Workteam `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

func (UpdateWorkteamOutput) String added in v0.6.0 

func (s UpdateWorkteamOutput) String() string

String returns the string representation

type UpdateWorkteamRequest added in v0.6.0 

type UpdateWorkteamRequest struct {
	*aws.Request
	Input *UpdateWorkteamInput
	Copy  func(*UpdateWorkteamInput) UpdateWorkteamRequest
}

UpdateWorkteamRequest is the request type for the UpdateWorkteam API operation.

func (UpdateWorkteamRequest) Send added in v0.6.0 

func (r UpdateWorkteamRequest) Send(ctx context.Context) (*UpdateWorkteamResponse, error)

Send marshals and sends the UpdateWorkteam API request.

type UpdateWorkteamResponse added in v0.9.0 

type UpdateWorkteamResponse struct {
	*UpdateWorkteamOutput
	// contains filtered or unexported fields
}

UpdateWorkteamResponse is the response type for the UpdateWorkteam API operation.

func (*UpdateWorkteamResponse) SDKResponseMetdata added in v0.9.0 

func (r *UpdateWorkteamResponse) SDKResponseMetdata() *aws.Response

SDKResponseMetdata returns the response metadata for the UpdateWorkteam request.

type VpcConfig added in v0.4.0 

type VpcConfig struct {

	// The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security
	// groups for the VPC that is specified in the Subnets field.
	//
	// SecurityGroupIds is a required field
	SecurityGroupIds []string `min:"1" type:"list" required:"true"`

	// The ID of the subnets in the VPC to which you want to connect your training
	// job or model.
	//
	// Amazon EC2 P3 accelerated computing instances are not available in the c/d/e
	// availability zones of region us-east-1. If you want to create endpoints with
	// P3 instances in VPC mode in region us-east-1, create subnets in a/b/f availability
	// zones instead.
	//
	// Subnets is a required field
	Subnets []string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html) and Protect Training Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/train-vpc.html).

func (VpcConfig) String added in v0.4.0 

func (s VpcConfig) String() string

String returns the string representation

func (*VpcConfig) Validate added in v0.4.0 

func (s *VpcConfig) Validate() error

Validate inspects the fields of the type to determine if they are valid.

type Workteam added in v0.6.0 

type Workteam struct {

	// The date and time that the work team was created (timestamp).
	CreateDate *time.Time `type:"timestamp"`

	// A description of the work team.
	//
	// Description is a required field
	Description *string `min:"1" type:"string" required:"true"`

	// The date and time that the work team was last updated (timestamp).
	LastUpdatedDate *time.Time `type:"timestamp"`

	// The Amazon Cognito user groups that make up the work team.
	//
	// MemberDefinitions is a required field
	MemberDefinitions []MemberDefinition `min:"1" type:"list" required:"true"`

	// Configures SNS notifications of available or expiring work items for work
	// teams.
	NotificationConfiguration *NotificationConfiguration `type:"structure"`

	// The Amazon Marketplace identifier for a vendor's work team.
	ProductListingIds []string `type:"list"`

	// The URI of the labeling job's user interface. Workers open this URI to start
	// labeling your data objects.
	SubDomain *string `type:"string"`

	// The Amazon Resource Name (ARN) that identifies the work team.
	//
	// WorkteamArn is a required field
	WorkteamArn *string `type:"string" required:"true"`

	// The name of the work team.
	//
	// WorkteamName is a required field
	WorkteamName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

Provides details about a labeling work team.

func (Workteam) String added in v0.6.0 

func (s Workteam) String() string

String returns the string representation

Source Files

View all Source files

Directories

Path Synopsis
Package sagemakeriface provides an interface to enable mocking the Amazon SageMaker Service service client for testing your code.
 Package sagemakeriface provides an interface to enable mocking the Amazon SageMaker Service service client for testing your code.

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