sagemaker

package
v1.12.70 Latest Latest
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 Go to latest Published: Jan 26, 2018 License: Apache-2.0 Imports: 9 Imported by: 0

Documentation

Overview

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

Definition of the public APIs exposed by SageMaker

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 contact Amazon SageMaker Service 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 Amazon SageMaker Service client SageMaker 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 (
	// CompressionTypeNone is a CompressionType enum value
	CompressionTypeNone = "None"

	// CompressionTypeGzip is a CompressionType enum value
	CompressionTypeGzip = "Gzip"
)
View Source 
const (
	// EndpointConfigSortKeyName is a EndpointConfigSortKey enum value
	EndpointConfigSortKeyName = "Name"

	// EndpointConfigSortKeyCreationTime is a EndpointConfigSortKey enum value
	EndpointConfigSortKeyCreationTime = "CreationTime"
)
View Source 
const (
	// EndpointSortKeyName is a EndpointSortKey enum value
	EndpointSortKeyName = "Name"

	// EndpointSortKeyCreationTime is a EndpointSortKey enum value
	EndpointSortKeyCreationTime = "CreationTime"

	// EndpointSortKeyStatus is a EndpointSortKey enum value
	EndpointSortKeyStatus = "Status"
)
View Source 
const (
	// EndpointStatusOutOfService is a EndpointStatus enum value
	EndpointStatusOutOfService = "OutOfService"

	// EndpointStatusCreating is a EndpointStatus enum value
	EndpointStatusCreating = "Creating"

	// EndpointStatusUpdating is a EndpointStatus enum value
	EndpointStatusUpdating = "Updating"

	// EndpointStatusRollingBack is a EndpointStatus enum value
	EndpointStatusRollingBack = "RollingBack"

	// EndpointStatusInService is a EndpointStatus enum value
	EndpointStatusInService = "InService"

	// EndpointStatusDeleting is a EndpointStatus enum value
	EndpointStatusDeleting = "Deleting"

	// EndpointStatusFailed is a EndpointStatus enum value
	EndpointStatusFailed = "Failed"
)
View Source 
const (
	// InstanceTypeMlT2Medium is a InstanceType enum value
	InstanceTypeMlT2Medium = "ml.t2.medium"

	// InstanceTypeMlM4Xlarge is a InstanceType enum value
	InstanceTypeMlM4Xlarge = "ml.m4.xlarge"

	// InstanceTypeMlP2Xlarge is a InstanceType enum value
	InstanceTypeMlP2Xlarge = "ml.p2.xlarge"
)
View Source 
const (
	// ModelSortKeyName is a ModelSortKey enum value
	ModelSortKeyName = "Name"

	// ModelSortKeyCreationTime is a ModelSortKey enum value
	ModelSortKeyCreationTime = "CreationTime"
)
View Source 
const (
	// NotebookInstanceSortKeyName is a NotebookInstanceSortKey enum value
	NotebookInstanceSortKeyName = "Name"

	// NotebookInstanceSortKeyCreationTime is a NotebookInstanceSortKey enum value
	NotebookInstanceSortKeyCreationTime = "CreationTime"

	// NotebookInstanceSortKeyStatus is a NotebookInstanceSortKey enum value
	NotebookInstanceSortKeyStatus = "Status"
)
View Source 
const (
	// NotebookInstanceSortOrderAscending is a NotebookInstanceSortOrder enum value
	NotebookInstanceSortOrderAscending = "Ascending"

	// NotebookInstanceSortOrderDescending is a NotebookInstanceSortOrder enum value
	NotebookInstanceSortOrderDescending = "Descending"
)
View Source 
const (
	// NotebookInstanceStatusPending is a NotebookInstanceStatus enum value
	NotebookInstanceStatusPending = "Pending"

	// NotebookInstanceStatusInService is a NotebookInstanceStatus enum value
	NotebookInstanceStatusInService = "InService"

	// NotebookInstanceStatusStopping is a NotebookInstanceStatus enum value
	NotebookInstanceStatusStopping = "Stopping"

	// NotebookInstanceStatusStopped is a NotebookInstanceStatus enum value
	NotebookInstanceStatusStopped = "Stopped"

	// NotebookInstanceStatusFailed is a NotebookInstanceStatus enum value
	NotebookInstanceStatusFailed = "Failed"

	// NotebookInstanceStatusDeleting is a NotebookInstanceStatus enum value
	NotebookInstanceStatusDeleting = "Deleting"
)
View Source 
const (
	// OrderKeyAscending is a OrderKey enum value
	OrderKeyAscending = "Ascending"

	// OrderKeyDescending is a OrderKey enum value
	OrderKeyDescending = "Descending"
)
View Source 
const (
	// ProductionVariantInstanceTypeMlC42xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlC42xlarge = "ml.c4.2xlarge"

	// ProductionVariantInstanceTypeMlC48xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlC48xlarge = "ml.c4.8xlarge"

	// ProductionVariantInstanceTypeMlC4Xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlC4Xlarge = "ml.c4.xlarge"

	// ProductionVariantInstanceTypeMlC52xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlC52xlarge = "ml.c5.2xlarge"

	// ProductionVariantInstanceTypeMlC59xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlC59xlarge = "ml.c5.9xlarge"

	// ProductionVariantInstanceTypeMlC5Xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlC5Xlarge = "ml.c5.xlarge"

	// ProductionVariantInstanceTypeMlM4Xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlM4Xlarge = "ml.m4.xlarge"

	// ProductionVariantInstanceTypeMlP2Xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlP2Xlarge = "ml.p2.xlarge"

	// ProductionVariantInstanceTypeMlP32xlarge is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlP32xlarge = "ml.p3.2xlarge"

	// ProductionVariantInstanceTypeMlT2Medium is a ProductionVariantInstanceType enum value
	ProductionVariantInstanceTypeMlT2Medium = "ml.t2.medium"
)
View Source 
const (
	// RecordWrapperNone is a RecordWrapper enum value
	RecordWrapperNone = "None"

	// RecordWrapperRecordIo is a RecordWrapper enum value
	RecordWrapperRecordIo = "RecordIO"
)
View Source 
const (
	// S3DataDistributionFullyReplicated is a S3DataDistribution enum value
	S3DataDistributionFullyReplicated = "FullyReplicated"

	// S3DataDistributionShardedByS3key is a S3DataDistribution enum value
	S3DataDistributionShardedByS3key = "ShardedByS3Key"
)
View Source 
const (
	// S3DataTypeManifestFile is a S3DataType enum value
	S3DataTypeManifestFile = "ManifestFile"

	// S3DataTypeS3prefix is a S3DataType enum value
	S3DataTypeS3prefix = "S3Prefix"
)
View Source 
const (
	// SecondaryStatusStarting is a SecondaryStatus enum value
	SecondaryStatusStarting = "Starting"

	// SecondaryStatusDownloading is a SecondaryStatus enum value
	SecondaryStatusDownloading = "Downloading"

	// SecondaryStatusTraining is a SecondaryStatus enum value
	SecondaryStatusTraining = "Training"

	// SecondaryStatusUploading is a SecondaryStatus enum value
	SecondaryStatusUploading = "Uploading"

	// SecondaryStatusStopping is a SecondaryStatus enum value
	SecondaryStatusStopping = "Stopping"

	// SecondaryStatusStopped is a SecondaryStatus enum value
	SecondaryStatusStopped = "Stopped"

	// SecondaryStatusMaxRuntimeExceeded is a SecondaryStatus enum value
	SecondaryStatusMaxRuntimeExceeded = "MaxRuntimeExceeded"

	// SecondaryStatusCompleted is a SecondaryStatus enum value
	SecondaryStatusCompleted = "Completed"

	// SecondaryStatusFailed is a SecondaryStatus enum value
	SecondaryStatusFailed = "Failed"
)
View Source 
const (
	// SortByName is a SortBy enum value
	SortByName = "Name"

	// SortByCreationTime is a SortBy enum value
	SortByCreationTime = "CreationTime"

	// SortByStatus is a SortBy enum value
	SortByStatus = "Status"
)
View Source 
const (
	// SortOrderAscending is a SortOrder enum value
	SortOrderAscending = "Ascending"

	// SortOrderDescending is a SortOrder enum value
	SortOrderDescending = "Descending"
)
View Source 
const (
	// TrainingInputModePipe is a TrainingInputMode enum value
	TrainingInputModePipe = "Pipe"

	// TrainingInputModeFile is a TrainingInputMode enum value
	TrainingInputModeFile = "File"
)
View Source 
const (
	// TrainingInstanceTypeMlM4Xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlM4Xlarge = "ml.m4.xlarge"

	// TrainingInstanceTypeMlM44xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlM44xlarge = "ml.m4.4xlarge"

	// TrainingInstanceTypeMlM410xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlM410xlarge = "ml.m4.10xlarge"

	// TrainingInstanceTypeMlC4Xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC4Xlarge = "ml.c4.xlarge"

	// TrainingInstanceTypeMlC42xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC42xlarge = "ml.c4.2xlarge"

	// TrainingInstanceTypeMlC48xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC48xlarge = "ml.c4.8xlarge"

	// TrainingInstanceTypeMlP2Xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlP2Xlarge = "ml.p2.xlarge"

	// TrainingInstanceTypeMlP28xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlP28xlarge = "ml.p2.8xlarge"

	// TrainingInstanceTypeMlP216xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlP216xlarge = "ml.p2.16xlarge"

	// TrainingInstanceTypeMlP32xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlP32xlarge = "ml.p3.2xlarge"

	// TrainingInstanceTypeMlP38xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlP38xlarge = "ml.p3.8xlarge"

	// TrainingInstanceTypeMlP316xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlP316xlarge = "ml.p3.16xlarge"

	// TrainingInstanceTypeMlC5Xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC5Xlarge = "ml.c5.xlarge"

	// TrainingInstanceTypeMlC52xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC52xlarge = "ml.c5.2xlarge"

	// TrainingInstanceTypeMlC54xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC54xlarge = "ml.c5.4xlarge"

	// TrainingInstanceTypeMlC59xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC59xlarge = "ml.c5.9xlarge"

	// TrainingInstanceTypeMlC518xlarge is a TrainingInstanceType enum value
	TrainingInstanceTypeMlC518xlarge = "ml.c5.18xlarge"
)
View Source 
const (
	// TrainingJobStatusInProgress is a TrainingJobStatus enum value
	TrainingJobStatusInProgress = "InProgress"

	// TrainingJobStatusCompleted is a TrainingJobStatus enum value
	TrainingJobStatusCompleted = "Completed"

	// TrainingJobStatusFailed is a TrainingJobStatus enum value
	TrainingJobStatusFailed = "Failed"

	// TrainingJobStatusStopping is a TrainingJobStatus enum value
	TrainingJobStatusStopping = "Stopping"

	// TrainingJobStatusStopped is a TrainingJobStatus enum value
	TrainingJobStatusStopped = "Stopped"
)
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"
)
View Source 
const (
	ServiceName = "sagemaker" // Service endpoint prefix API calls made to.
	EndpointsID = ServiceName // Service ID for Regions and Endpoints metadata.
)

Service information constants

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AddTagsInput

func (AddTagsInput) GoString 

func (s AddTagsInput) GoString() string

GoString returns the string representation

func (*AddTagsInput) SetResourceArn 

func (s *AddTagsInput) SetResourceArn(v string) *AddTagsInput

SetResourceArn sets the ResourceArn field's value.

func (*AddTagsInput) SetTags 

func (s *AddTagsInput) SetTags(v []*Tag) *AddTagsInput

SetTags sets the Tags field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AddTagsOutput

func (AddTagsOutput) GoString 

func (s AddTagsOutput) GoString() string

GoString returns the string representation

func (*AddTagsOutput) SetTags 

func (s *AddTagsOutput) SetTags(v []*Tag) *AddTagsOutput

SetTags sets the Tags field's value.

func (AddTagsOutput) String 

func (s AddTagsOutput) String() string

String returns the string representation

type AlgorithmSpecification 

type AlgorithmSpecification struct {

	// The registry path of the Docker image that contains the training algorithm.
	// For information about using your own algorithms, see Docker Registry Paths
	// for Algorithms Provided by Amazon SageMaker  (http://docs.aws.amazon.com/sagemaker/latest/dg/algos-docker-registry-paths.html).
	//
	// TrainingImage is a required field
	TrainingImage *string `type:"string" required:"true"`

	// The input mode that the algorithm supports. For the input modes that Amazon
	// SageMaker algorithms support, see Algorithms (http://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 accomodate 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 *string `type:"string" required:"true" enum:"TrainingInputMode"`
	// contains filtered or unexported fields
}

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

For more information about algorithms provided by Amazon SageMaker, see Algorithms (http://docs.aws.amazon.com/sagemaker/latest/dg/algos.html). For information about using your own algorithms, see Bring Your Own Algorithms (http://docs.aws.amazon.com/sagemaker/latest/dg/adv-topics-own-algo.html). See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AlgorithmSpecification

func (AlgorithmSpecification) GoString 

func (s AlgorithmSpecification) GoString() string

GoString returns the string representation

func (*AlgorithmSpecification) SetTrainingImage 

func (s *AlgorithmSpecification) SetTrainingImage(v string) *AlgorithmSpecification

SetTrainingImage sets the TrainingImage field's value.

func (*AlgorithmSpecification) SetTrainingInputMode 

func (s *AlgorithmSpecification) SetTrainingInputMode(v string) *AlgorithmSpecification

SetTrainingInputMode sets the TrainingInputMode field's value.

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 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 *string `type:"string" enum:"CompressionType"`

	// 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"`

	// Specify RecordIO as the value when input data is in raw format but the training
	// algorithm requires the RecordIO format, in which caseAmazon 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/how_to/recordio.html?highlight=im2rec)
	RecordWrapperType *string `type:"string" enum:"RecordWrapper"`
	// contains filtered or unexported fields
}

A channel is a named input source that training algorithms can consume. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/Channel

func (Channel) GoString 

func (s Channel) GoString() string

GoString returns the string representation

func (*Channel) SetChannelName 

func (s *Channel) SetChannelName(v string) *Channel

SetChannelName sets the ChannelName field's value.

func (*Channel) SetCompressionType 

func (s *Channel) SetCompressionType(v string) *Channel

SetCompressionType sets the CompressionType field's value.

func (*Channel) SetContentType 

func (s *Channel) SetContentType(v string) *Channel

SetContentType sets the ContentType field's value.

func (*Channel) SetDataSource 

func (s *Channel) SetDataSource(v *DataSource) *Channel

SetDataSource sets the DataSource field's value.

func (*Channel) SetRecordWrapperType 

func (s *Channel) SetRecordWrapperType(v string) *Channel

SetRecordWrapperType sets the RecordWrapperType field's value.

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 ContainerDefinition 

type ContainerDefinition struct {

	// The DNS host name for the container after Amazon SageMaker deploys it.
	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. For more information, see Using Your Own Algorithms with Amazon
	// SageMaker (http://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html)
	//
	// Image is a required field
	Image *string `type:"string" required:"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).
	ModelDataUrl *string `type:"string"`
	// contains filtered or unexported fields
}

Describes the container, as part of model definition. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ContainerDefinition

func (ContainerDefinition) GoString 

func (s ContainerDefinition) GoString() string

GoString returns the string representation

func (*ContainerDefinition) SetContainerHostname 

func (s *ContainerDefinition) SetContainerHostname(v string) *ContainerDefinition

SetContainerHostname sets the ContainerHostname field's value.

func (*ContainerDefinition) SetEnvironment 

func (s *ContainerDefinition) SetEnvironment(v map[string]*string) *ContainerDefinition

SetEnvironment sets the Environment field's value.

func (*ContainerDefinition) SetImage 

func (s *ContainerDefinition) SetImage(v string) *ContainerDefinition

SetImage sets the Image field's value.

func (*ContainerDefinition) SetModelDataUrl 

func (s *ContainerDefinition) SetModelDataUrl(v string) *ContainerDefinition

SetModelDataUrl sets the ModelDataUrl field's value.

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 CreateEndpointConfigInput 

type CreateEndpointConfigInput struct {

	// The name of the endpoint configuration. You specify this name in a CreateEndpoint
	// (http://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.
	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"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (http://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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpointConfigInput

func (CreateEndpointConfigInput) GoString 

func (s CreateEndpointConfigInput) GoString() string

GoString returns the string representation

func (*CreateEndpointConfigInput) SetEndpointConfigName 

func (s *CreateEndpointConfigInput) SetEndpointConfigName(v string) *CreateEndpointConfigInput

SetEndpointConfigName sets the EndpointConfigName field's value.

func (*CreateEndpointConfigInput) SetKmsKeyId added in v1.12.69 

func (s *CreateEndpointConfigInput) SetKmsKeyId(v string) *CreateEndpointConfigInput

SetKmsKeyId sets the KmsKeyId field's value.

func (*CreateEndpointConfigInput) SetProductionVariants 

func (s *CreateEndpointConfigInput) SetProductionVariants(v []*ProductionVariant) *CreateEndpointConfigInput

SetProductionVariants sets the ProductionVariants field's value.

func (*CreateEndpointConfigInput) SetTags 

func (s *CreateEndpointConfigInput) SetTags(v []*Tag) *CreateEndpointConfigInput

SetTags sets the Tags field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpointConfigOutput

func (CreateEndpointConfigOutput) GoString 

func (s CreateEndpointConfigOutput) GoString() string

GoString returns the string representation

func (*CreateEndpointConfigOutput) SetEndpointConfigArn 

func (s *CreateEndpointConfigOutput) SetEndpointConfigArn(v string) *CreateEndpointConfigOutput

SetEndpointConfigArn sets the EndpointConfigArn field's value.

func (CreateEndpointConfigOutput) String 

func (s CreateEndpointConfigOutput) String() string

String returns the string representation

type CreateEndpointInput 

type CreateEndpointInput struct {

	// The name of an endpoint configuration. For more information, see CreateEndpointConfig
	// (http://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 (http://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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpointInput

func (CreateEndpointInput) GoString 

func (s CreateEndpointInput) GoString() string

GoString returns the string representation

func (*CreateEndpointInput) SetEndpointConfigName 

func (s *CreateEndpointInput) SetEndpointConfigName(v string) *CreateEndpointInput

SetEndpointConfigName sets the EndpointConfigName field's value.

func (*CreateEndpointInput) SetEndpointName 

func (s *CreateEndpointInput) SetEndpointName(v string) *CreateEndpointInput

SetEndpointName sets the EndpointName field's value.

func (*CreateEndpointInput) SetTags 

func (s *CreateEndpointInput) SetTags(v []*Tag) *CreateEndpointInput

SetTags sets the Tags field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateEndpointOutput

func (CreateEndpointOutput) GoString 

func (s CreateEndpointOutput) GoString() string

GoString returns the string representation

func (*CreateEndpointOutput) SetEndpointArn 

func (s *CreateEndpointOutput) SetEndpointArn(v string) *CreateEndpointOutput

SetEndpointArn sets the EndpointArn field's value.

func (CreateEndpointOutput) String 

func (s CreateEndpointOutput) String() string

String returns the string representation

type CreateModelInput 

type CreateModelInput struct {

	// 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. Deploying on ML compute instances is part of model hosting. For
	// more information, see Amazon SageMaker Roles (http://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// 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 into production.
	//
	// PrimaryContainer is a required field
	PrimaryContainer *ContainerDefinition `type:"structure" required:"true"`

	// An array of key-value pairs. For more information, see Using Cost Allocation
	// Tags (http://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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModelInput

func (CreateModelInput) GoString 

func (s CreateModelInput) GoString() string

GoString returns the string representation

func (*CreateModelInput) SetExecutionRoleArn 

func (s *CreateModelInput) SetExecutionRoleArn(v string) *CreateModelInput

SetExecutionRoleArn sets the ExecutionRoleArn field's value.

func (*CreateModelInput) SetModelName 

func (s *CreateModelInput) SetModelName(v string) *CreateModelInput

SetModelName sets the ModelName field's value.

func (*CreateModelInput) SetPrimaryContainer 

func (s *CreateModelInput) SetPrimaryContainer(v *ContainerDefinition) *CreateModelInput

SetPrimaryContainer sets the PrimaryContainer field's value.

func (*CreateModelInput) SetTags 

func (s *CreateModelInput) SetTags(v []*Tag) *CreateModelInput

SetTags sets the Tags field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateModelOutput

func (CreateModelOutput) GoString 

func (s CreateModelOutput) GoString() string

GoString returns the string representation

func (*CreateModelOutput) SetModelArn 

func (s *CreateModelOutput) SetModelArn(v string) *CreateModelOutput

SetModelArn sets the ModelArn field's value.

func (CreateModelOutput) String 

func (s CreateModelOutput) String() string

String returns the string representation

type CreateNotebookInstanceInput 

type CreateNotebookInstanceInput struct {

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

	// If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data
	// at rest on the ML storage volume that is attached to your notebook instance.
	KmsKeyId *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)
	// permissions to assume this role. For more information, see Amazon SageMaker
	// Roles (http://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"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"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateNotebookInstanceInput

func (CreateNotebookInstanceInput) GoString 

func (s CreateNotebookInstanceInput) GoString() string

GoString returns the string representation

func (*CreateNotebookInstanceInput) SetInstanceType 

func (s *CreateNotebookInstanceInput) SetInstanceType(v string) *CreateNotebookInstanceInput

SetInstanceType sets the InstanceType field's value.

func (*CreateNotebookInstanceInput) SetKmsKeyId 

func (s *CreateNotebookInstanceInput) SetKmsKeyId(v string) *CreateNotebookInstanceInput

SetKmsKeyId sets the KmsKeyId field's value.

func (*CreateNotebookInstanceInput) SetNotebookInstanceName 

func (s *CreateNotebookInstanceInput) SetNotebookInstanceName(v string) *CreateNotebookInstanceInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

func (*CreateNotebookInstanceInput) SetRoleArn 

func (s *CreateNotebookInstanceInput) SetRoleArn(v string) *CreateNotebookInstanceInput

SetRoleArn sets the RoleArn field's value.

func (*CreateNotebookInstanceInput) SetSecurityGroupIds 

func (s *CreateNotebookInstanceInput) SetSecurityGroupIds(v []*string) *CreateNotebookInstanceInput

SetSecurityGroupIds sets the SecurityGroupIds field's value.

func (*CreateNotebookInstanceInput) SetSubnetId 

func (s *CreateNotebookInstanceInput) SetSubnetId(v string) *CreateNotebookInstanceInput

SetSubnetId sets the SubnetId field's value.

func (*CreateNotebookInstanceInput) SetTags 

func (s *CreateNotebookInstanceInput) SetTags(v []*Tag) *CreateNotebookInstanceInput

SetTags sets the Tags field's value.

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 CreateNotebookInstanceOutput 

type CreateNotebookInstanceOutput struct {

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

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateNotebookInstanceOutput

func (CreateNotebookInstanceOutput) GoString 

func (s CreateNotebookInstanceOutput) GoString() string

GoString returns the string representation

func (*CreateNotebookInstanceOutput) SetNotebookInstanceArn 

func (s *CreateNotebookInstanceOutput) SetNotebookInstanceArn(v string) *CreateNotebookInstanceOutput

SetNotebookInstanceArn sets the NotebookInstanceArn field's value.

func (CreateNotebookInstanceOutput) String 

func (s CreateNotebookInstanceOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreatePresignedNotebookInstanceUrlInput

func (CreatePresignedNotebookInstanceUrlInput) GoString 

func (s CreatePresignedNotebookInstanceUrlInput) GoString() string

GoString returns the string representation

func (*CreatePresignedNotebookInstanceUrlInput) SetNotebookInstanceName 

func (s *CreatePresignedNotebookInstanceUrlInput) SetNotebookInstanceName(v string) *CreatePresignedNotebookInstanceUrlInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

func (*CreatePresignedNotebookInstanceUrlInput) SetSessionExpirationDurationInSeconds 

func (s *CreatePresignedNotebookInstanceUrlInput) SetSessionExpirationDurationInSeconds(v int64) *CreatePresignedNotebookInstanceUrlInput

SetSessionExpirationDurationInSeconds sets the SessionExpirationDurationInSeconds field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreatePresignedNotebookInstanceUrlOutput

func (CreatePresignedNotebookInstanceUrlOutput) GoString 

func (s CreatePresignedNotebookInstanceUrlOutput) GoString() string

GoString returns the string representation

func (*CreatePresignedNotebookInstanceUrlOutput) SetAuthorizedUrl 

func (s *CreatePresignedNotebookInstanceUrlOutput) SetAuthorizedUrl(v string) *CreatePresignedNotebookInstanceUrlOutput

SetAuthorizedUrl sets the AuthorizedUrl field's value.

func (CreatePresignedNotebookInstanceUrlOutput) String 

func (s CreatePresignedNotebookInstanceUrlOutput) String() string

String returns the string representation

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 (http://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).
	// For information about providing your own algorithms, see Bring Your Own Algorithms
	//  (http://docs.aws.amazon.com/sagemaker/latest/dg/adv-topics-own-algo.html).
	//
	// AlgorithmSpecification is a required field
	AlgorithmSpecification *AlgorithmSpecification `type:"structure" required:"true"`

	// Algorithm-specific parameters. You set hyperparameters before you start the
	// learning process. Hyperparameters influence the quality of the model. For
	// a list of hyperparameters for each training algorithm provided by Amazon
	// SageMaker, see Algorithms (http://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 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.
	//
	// InputDataConfig is a required field
	InputDataConfig []*Channel `min:"1" type:"list" required:"true"`

	// Specifies 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.
	//
	// 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
	// (http://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).
	//
	// RoleArn is a required field
	RoleArn *string `min:"20" type:"string" required:"true"`

	// Sets a duration for training. Use this parameter 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 might use this 120-second
	// window to save the model artifacts.
	//
	// When Amazon SageMaker terminates a job because the stopping condition has
	// been met, training algorithms provided by Amazon SageMaker save the intermediate
	// results of the job. This intermediate data is a valid model artifact. You
	// can use it to create a model using the CreateModel API.
	//
	// 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 (http://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. It appears in the Amazon SageMaker console.
	//
	// TrainingJobName is a required field
	TrainingJobName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTrainingJobRequest

func (CreateTrainingJobInput) GoString 

func (s CreateTrainingJobInput) GoString() string

GoString returns the string representation

func (*CreateTrainingJobInput) SetAlgorithmSpecification 

func (s *CreateTrainingJobInput) SetAlgorithmSpecification(v *AlgorithmSpecification) *CreateTrainingJobInput

SetAlgorithmSpecification sets the AlgorithmSpecification field's value.

func (*CreateTrainingJobInput) SetHyperParameters 

func (s *CreateTrainingJobInput) SetHyperParameters(v map[string]*string) *CreateTrainingJobInput

SetHyperParameters sets the HyperParameters field's value.

func (*CreateTrainingJobInput) SetInputDataConfig 

func (s *CreateTrainingJobInput) SetInputDataConfig(v []*Channel) *CreateTrainingJobInput

SetInputDataConfig sets the InputDataConfig field's value.

func (*CreateTrainingJobInput) SetOutputDataConfig 

func (s *CreateTrainingJobInput) SetOutputDataConfig(v *OutputDataConfig) *CreateTrainingJobInput

SetOutputDataConfig sets the OutputDataConfig field's value.

func (*CreateTrainingJobInput) SetResourceConfig 

func (s *CreateTrainingJobInput) SetResourceConfig(v *ResourceConfig) *CreateTrainingJobInput

SetResourceConfig sets the ResourceConfig field's value.

func (*CreateTrainingJobInput) SetRoleArn 

func (s *CreateTrainingJobInput) SetRoleArn(v string) *CreateTrainingJobInput

SetRoleArn sets the RoleArn field's value.

func (*CreateTrainingJobInput) SetStoppingCondition 

func (s *CreateTrainingJobInput) SetStoppingCondition(v *StoppingCondition) *CreateTrainingJobInput

SetStoppingCondition sets the StoppingCondition field's value.

func (*CreateTrainingJobInput) SetTags 

func (s *CreateTrainingJobInput) SetTags(v []*Tag) *CreateTrainingJobInput

SetTags sets the Tags field's value.

func (*CreateTrainingJobInput) SetTrainingJobName 

func (s *CreateTrainingJobInput) SetTrainingJobName(v string) *CreateTrainingJobInput

SetTrainingJobName sets the TrainingJobName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateTrainingJobResponse

func (CreateTrainingJobOutput) GoString 

func (s CreateTrainingJobOutput) GoString() string

GoString returns the string representation

func (*CreateTrainingJobOutput) SetTrainingJobArn 

func (s *CreateTrainingJobOutput) SetTrainingJobArn(v string) *CreateTrainingJobOutput

SetTrainingJobArn sets the TrainingJobArn field's value.

func (CreateTrainingJobOutput) String 

func (s CreateTrainingJobOutput) String() string

String returns the string representation

type DataSource 

type DataSource struct {

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

Describes the location of the channel data. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DataSource

func (DataSource) GoString 

func (s DataSource) GoString() string

GoString returns the string representation

func (*DataSource) SetS3DataSource 

func (s *DataSource) SetS3DataSource(v *S3DataSource) *DataSource

SetS3DataSource sets the S3DataSource field's value.

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 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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointConfigInput

func (DeleteEndpointConfigInput) GoString 

func (s DeleteEndpointConfigInput) GoString() string

GoString returns the string representation

func (*DeleteEndpointConfigInput) SetEndpointConfigName 

func (s *DeleteEndpointConfigInput) SetEndpointConfigName(v string) *DeleteEndpointConfigInput

SetEndpointConfigName sets the EndpointConfigName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointConfigOutput

func (DeleteEndpointConfigOutput) GoString 

func (s DeleteEndpointConfigOutput) GoString() string

GoString returns the string representation

func (DeleteEndpointConfigOutput) String 

func (s DeleteEndpointConfigOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointInput

func (DeleteEndpointInput) GoString 

func (s DeleteEndpointInput) GoString() string

GoString returns the string representation

func (*DeleteEndpointInput) SetEndpointName 

func (s *DeleteEndpointInput) SetEndpointName(v string) *DeleteEndpointInput

SetEndpointName sets the EndpointName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointOutput

func (DeleteEndpointOutput) GoString 

func (s DeleteEndpointOutput) GoString() string

GoString returns the string representation

func (DeleteEndpointOutput) String 

func (s DeleteEndpointOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModelInput

func (DeleteModelInput) GoString 

func (s DeleteModelInput) GoString() string

GoString returns the string representation

func (*DeleteModelInput) SetModelName 

func (s *DeleteModelInput) SetModelName(v string) *DeleteModelInput

SetModelName sets the ModelName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModelOutput

func (DeleteModelOutput) GoString 

func (s DeleteModelOutput) GoString() string

GoString returns the string representation

func (DeleteModelOutput) String 

func (s DeleteModelOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstanceInput

func (DeleteNotebookInstanceInput) GoString 

func (s DeleteNotebookInstanceInput) GoString() string

GoString returns the string representation

func (*DeleteNotebookInstanceInput) SetNotebookInstanceName 

func (s *DeleteNotebookInstanceInput) SetNotebookInstanceName(v string) *DeleteNotebookInstanceInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

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 DeleteNotebookInstanceOutput 

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

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstanceOutput

func (DeleteNotebookInstanceOutput) GoString 

func (s DeleteNotebookInstanceOutput) GoString() string

GoString returns the string representation

func (DeleteNotebookInstanceOutput) String 

func (s DeleteNotebookInstanceOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTagsInput

func (DeleteTagsInput) GoString 

func (s DeleteTagsInput) GoString() string

GoString returns the string representation

func (*DeleteTagsInput) SetResourceArn 

func (s *DeleteTagsInput) SetResourceArn(v string) *DeleteTagsInput

SetResourceArn sets the ResourceArn field's value.

func (*DeleteTagsInput) SetTagKeys 

func (s *DeleteTagsInput) SetTagKeys(v []*string) *DeleteTagsInput

SetTagKeys sets the TagKeys field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTagsOutput

func (DeleteTagsOutput) GoString 

func (s DeleteTagsOutput) GoString() string

GoString returns the string representation

func (DeleteTagsOutput) String 

func (s DeleteTagsOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointConfigInput

func (DescribeEndpointConfigInput) GoString 

func (s DescribeEndpointConfigInput) GoString() string

GoString returns the string representation

func (*DescribeEndpointConfigInput) SetEndpointConfigName 

func (s *DescribeEndpointConfigInput) SetEndpointConfigName(v string) *DescribeEndpointConfigInput

SetEndpointConfigName sets the EndpointConfigName field's value.

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" timestampFormat:"unix" 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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointConfigOutput

func (DescribeEndpointConfigOutput) GoString 

func (s DescribeEndpointConfigOutput) GoString() string

GoString returns the string representation

func (*DescribeEndpointConfigOutput) SetCreationTime 

func (s *DescribeEndpointConfigOutput) SetCreationTime(v time.Time) *DescribeEndpointConfigOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeEndpointConfigOutput) SetEndpointConfigArn 

func (s *DescribeEndpointConfigOutput) SetEndpointConfigArn(v string) *DescribeEndpointConfigOutput

SetEndpointConfigArn sets the EndpointConfigArn field's value.

func (*DescribeEndpointConfigOutput) SetEndpointConfigName 

func (s *DescribeEndpointConfigOutput) SetEndpointConfigName(v string) *DescribeEndpointConfigOutput

SetEndpointConfigName sets the EndpointConfigName field's value.

func (*DescribeEndpointConfigOutput) SetKmsKeyId added in v1.12.69 

func (s *DescribeEndpointConfigOutput) SetKmsKeyId(v string) *DescribeEndpointConfigOutput

SetKmsKeyId sets the KmsKeyId field's value.

func (*DescribeEndpointConfigOutput) SetProductionVariants 

func (s *DescribeEndpointConfigOutput) SetProductionVariants(v []*ProductionVariant) *DescribeEndpointConfigOutput

SetProductionVariants sets the ProductionVariants field's value.

func (DescribeEndpointConfigOutput) String 

func (s DescribeEndpointConfigOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointInput

func (DescribeEndpointInput) GoString 

func (s DescribeEndpointInput) GoString() string

GoString returns the string representation

func (*DescribeEndpointInput) SetEndpointName 

func (s *DescribeEndpointInput) SetEndpointName(v string) *DescribeEndpointInput

SetEndpointName sets the EndpointName field's value.

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" timestampFormat:"unix" 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.
	//
	// EndpointStatus is a required field
	EndpointStatus *string `type:"string" required:"true" enum:"EndpointStatus"`

	// 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" timestampFormat:"unix" required:"true"`

	// An array of ProductionVariant objects, one for each model hosted behind this
	// endpoint.
	ProductionVariants []*ProductionVariantSummary `min:"1" type:"list"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointOutput

func (DescribeEndpointOutput) GoString 

func (s DescribeEndpointOutput) GoString() string

GoString returns the string representation

func (*DescribeEndpointOutput) SetCreationTime 

func (s *DescribeEndpointOutput) SetCreationTime(v time.Time) *DescribeEndpointOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeEndpointOutput) SetEndpointArn 

func (s *DescribeEndpointOutput) SetEndpointArn(v string) *DescribeEndpointOutput

SetEndpointArn sets the EndpointArn field's value.

func (*DescribeEndpointOutput) SetEndpointConfigName 

func (s *DescribeEndpointOutput) SetEndpointConfigName(v string) *DescribeEndpointOutput

SetEndpointConfigName sets the EndpointConfigName field's value.

func (*DescribeEndpointOutput) SetEndpointName 

func (s *DescribeEndpointOutput) SetEndpointName(v string) *DescribeEndpointOutput

SetEndpointName sets the EndpointName field's value.

func (*DescribeEndpointOutput) SetEndpointStatus 

func (s *DescribeEndpointOutput) SetEndpointStatus(v string) *DescribeEndpointOutput

SetEndpointStatus sets the EndpointStatus field's value.

func (*DescribeEndpointOutput) SetFailureReason 

func (s *DescribeEndpointOutput) SetFailureReason(v string) *DescribeEndpointOutput

SetFailureReason sets the FailureReason field's value.

func (*DescribeEndpointOutput) SetLastModifiedTime 

func (s *DescribeEndpointOutput) SetLastModifiedTime(v time.Time) *DescribeEndpointOutput

SetLastModifiedTime sets the LastModifiedTime field's value.

func (*DescribeEndpointOutput) SetProductionVariants 

func (s *DescribeEndpointOutput) SetProductionVariants(v []*ProductionVariantSummary) *DescribeEndpointOutput

SetProductionVariants sets the ProductionVariants field's value.

func (DescribeEndpointOutput) String 

func (s DescribeEndpointOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModelInput

func (DescribeModelInput) GoString 

func (s DescribeModelInput) GoString() string

GoString returns the string representation

func (*DescribeModelInput) SetModelName 

func (s *DescribeModelInput) SetModelName(v string) *DescribeModelInput

SetModelName sets the ModelName field's value.

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 {

	// A timestamp that shows when the model was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix" required:"true"`

	// 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 is a required field
	PrimaryContainer *ContainerDefinition `type:"structure" required:"true"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModelOutput

func (DescribeModelOutput) GoString 

func (s DescribeModelOutput) GoString() string

GoString returns the string representation

func (*DescribeModelOutput) SetCreationTime 

func (s *DescribeModelOutput) SetCreationTime(v time.Time) *DescribeModelOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeModelOutput) SetExecutionRoleArn 

func (s *DescribeModelOutput) SetExecutionRoleArn(v string) *DescribeModelOutput

SetExecutionRoleArn sets the ExecutionRoleArn field's value.

func (*DescribeModelOutput) SetModelArn 

func (s *DescribeModelOutput) SetModelArn(v string) *DescribeModelOutput

SetModelArn sets the ModelArn field's value.

func (*DescribeModelOutput) SetModelName 

func (s *DescribeModelOutput) SetModelName(v string) *DescribeModelOutput

SetModelName sets the ModelName field's value.

func (*DescribeModelOutput) SetPrimaryContainer 

func (s *DescribeModelOutput) SetPrimaryContainer(v *ContainerDefinition) *DescribeModelOutput

SetPrimaryContainer sets the PrimaryContainer field's value.

func (DescribeModelOutput) String 

func (s DescribeModelOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstanceInput

func (DescribeNotebookInstanceInput) GoString 

func (s DescribeNotebookInstanceInput) GoString() string

GoString returns the string representation

func (*DescribeNotebookInstanceInput) SetNotebookInstanceName 

func (s *DescribeNotebookInstanceInput) SetNotebookInstanceName(v string) *DescribeNotebookInstanceInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

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 DescribeNotebookInstanceOutput 

type DescribeNotebookInstanceOutput struct {

	// A timestamp. Use this parameter to return the time when the notebook instance
	// was created
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix"`

	// If staus is failed, the reason it failed.
	FailureReason *string `type:"string"`

	// The type of ML compute instance running on the notebook instance.
	InstanceType *string `type:"string" enum:"InstanceType"`

	// 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" timestampFormat:"unix"`

	// 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"`

	// Name of the Amazon SageMaker notebook instance.
	NotebookInstanceName *string `type:"string"`

	// The status of the notebook instance.
	NotebookInstanceStatus *string `type:"string" enum:"NotebookInstanceStatus"`

	// Amazon Resource Name (ARN) of the IAM role associated with the instance.
	RoleArn *string `min:"20" type:"string"`

	// 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"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstanceOutput

func (DescribeNotebookInstanceOutput) GoString 

func (s DescribeNotebookInstanceOutput) GoString() string

GoString returns the string representation

func (*DescribeNotebookInstanceOutput) SetCreationTime 

func (s *DescribeNotebookInstanceOutput) SetCreationTime(v time.Time) *DescribeNotebookInstanceOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeNotebookInstanceOutput) SetFailureReason 

func (s *DescribeNotebookInstanceOutput) SetFailureReason(v string) *DescribeNotebookInstanceOutput

SetFailureReason sets the FailureReason field's value.

func (*DescribeNotebookInstanceOutput) SetInstanceType 

func (s *DescribeNotebookInstanceOutput) SetInstanceType(v string) *DescribeNotebookInstanceOutput

SetInstanceType sets the InstanceType field's value.

func (*DescribeNotebookInstanceOutput) SetKmsKeyId 

func (s *DescribeNotebookInstanceOutput) SetKmsKeyId(v string) *DescribeNotebookInstanceOutput

SetKmsKeyId sets the KmsKeyId field's value.

func (*DescribeNotebookInstanceOutput) SetLastModifiedTime 

func (s *DescribeNotebookInstanceOutput) SetLastModifiedTime(v time.Time) *DescribeNotebookInstanceOutput

SetLastModifiedTime sets the LastModifiedTime field's value.

func (*DescribeNotebookInstanceOutput) SetNetworkInterfaceId 

func (s *DescribeNotebookInstanceOutput) SetNetworkInterfaceId(v string) *DescribeNotebookInstanceOutput

SetNetworkInterfaceId sets the NetworkInterfaceId field's value.

func (*DescribeNotebookInstanceOutput) SetNotebookInstanceArn 

func (s *DescribeNotebookInstanceOutput) SetNotebookInstanceArn(v string) *DescribeNotebookInstanceOutput

SetNotebookInstanceArn sets the NotebookInstanceArn field's value.

func (*DescribeNotebookInstanceOutput) SetNotebookInstanceName 

func (s *DescribeNotebookInstanceOutput) SetNotebookInstanceName(v string) *DescribeNotebookInstanceOutput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

func (*DescribeNotebookInstanceOutput) SetNotebookInstanceStatus 

func (s *DescribeNotebookInstanceOutput) SetNotebookInstanceStatus(v string) *DescribeNotebookInstanceOutput

SetNotebookInstanceStatus sets the NotebookInstanceStatus field's value.

func (*DescribeNotebookInstanceOutput) SetRoleArn 

func (s *DescribeNotebookInstanceOutput) SetRoleArn(v string) *DescribeNotebookInstanceOutput

SetRoleArn sets the RoleArn field's value.

func (*DescribeNotebookInstanceOutput) SetSecurityGroups 

func (s *DescribeNotebookInstanceOutput) SetSecurityGroups(v []*string) *DescribeNotebookInstanceOutput

SetSecurityGroups sets the SecurityGroups field's value.

func (*DescribeNotebookInstanceOutput) SetSubnetId 

func (s *DescribeNotebookInstanceOutput) SetSubnetId(v string) *DescribeNotebookInstanceOutput

SetSubnetId sets the SubnetId field's value.

func (*DescribeNotebookInstanceOutput) SetUrl 

func (s *DescribeNotebookInstanceOutput) SetUrl(v string) *DescribeNotebookInstanceOutput

SetUrl sets the Url field's value.

func (DescribeNotebookInstanceOutput) String 

func (s DescribeNotebookInstanceOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTrainingJobRequest

func (DescribeTrainingJobInput) GoString 

func (s DescribeTrainingJobInput) GoString() string

GoString returns the string representation

func (*DescribeTrainingJobInput) SetTrainingJobName 

func (s *DescribeTrainingJobInput) SetTrainingJobName(v string) *DescribeTrainingJobInput

SetTrainingJobName sets the TrainingJobName field's value.

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"`

	// A timestamp that indicates when the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix" required:"true"`

	// If the training job failed, the reason it failed.
	FailureReason *string `type:"string"`

	// Algorithm-specific parameters.
	HyperParameters map[string]*string `type:"map"`

	// An array of Channel objects that describes each data input channel.
	//
	// InputDataConfig is a required field
	InputDataConfig []*Channel `min:"1" type:"list" required:"true"`

	// A timestamp that indicates when the status of the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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 granular information about the system state. For more information,
	// see TrainingJobStatus.
	//
	// SecondaryStatus is a required field
	SecondaryStatus *string `type:"string" required:"true" enum:"SecondaryStatus"`

	// The condition under which to stop the training job.
	//
	// StoppingCondition is a required field
	StoppingCondition *StoppingCondition `type:"structure" required:"true"`

	// A timestamp that indicates when model training ended.
	TrainingEndTime *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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.
	//
	// For the InProgress status, Amazon SageMaker can return these secondary statuses:
	//
	//    * Starting - Preparing for training.
	//
	//    * Downloading - Optional stage for algorithms that support File training
	//    input mode. It indicates data is being downloaded to ML storage volumes.
	//
	//    * Training - Training is in progress.
	//
	//    * Uploading - Training is complete and model upload is in progress.
	//
	// For the Stopped training status, Amazon SageMaker can return these secondary
	// statuses:
	//
	//    * MaxRuntimeExceeded - Job stopped as a result of maximum allowed runtime
	//    exceeded.
	//
	// TrainingJobStatus is a required field
	TrainingJobStatus *string `type:"string" required:"true" enum:"TrainingJobStatus"`

	// A timestamp that indicates when training started.
	TrainingStartTime *time.Time `type:"timestamp" timestampFormat:"unix"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTrainingJobResponse

func (DescribeTrainingJobOutput) GoString 

func (s DescribeTrainingJobOutput) GoString() string

GoString returns the string representation

func (*DescribeTrainingJobOutput) SetAlgorithmSpecification 

func (s *DescribeTrainingJobOutput) SetAlgorithmSpecification(v *AlgorithmSpecification) *DescribeTrainingJobOutput

SetAlgorithmSpecification sets the AlgorithmSpecification field's value.

func (*DescribeTrainingJobOutput) SetCreationTime 

func (s *DescribeTrainingJobOutput) SetCreationTime(v time.Time) *DescribeTrainingJobOutput

SetCreationTime sets the CreationTime field's value.

func (*DescribeTrainingJobOutput) SetFailureReason 

func (s *DescribeTrainingJobOutput) SetFailureReason(v string) *DescribeTrainingJobOutput

SetFailureReason sets the FailureReason field's value.

func (*DescribeTrainingJobOutput) SetHyperParameters 

func (s *DescribeTrainingJobOutput) SetHyperParameters(v map[string]*string) *DescribeTrainingJobOutput

SetHyperParameters sets the HyperParameters field's value.

func (*DescribeTrainingJobOutput) SetInputDataConfig 

func (s *DescribeTrainingJobOutput) SetInputDataConfig(v []*Channel) *DescribeTrainingJobOutput

SetInputDataConfig sets the InputDataConfig field's value.

func (*DescribeTrainingJobOutput) SetLastModifiedTime 

func (s *DescribeTrainingJobOutput) SetLastModifiedTime(v time.Time) *DescribeTrainingJobOutput

SetLastModifiedTime sets the LastModifiedTime field's value.

func (*DescribeTrainingJobOutput) SetModelArtifacts 

func (s *DescribeTrainingJobOutput) SetModelArtifacts(v *ModelArtifacts) *DescribeTrainingJobOutput

SetModelArtifacts sets the ModelArtifacts field's value.

func (*DescribeTrainingJobOutput) SetOutputDataConfig 

func (s *DescribeTrainingJobOutput) SetOutputDataConfig(v *OutputDataConfig) *DescribeTrainingJobOutput

SetOutputDataConfig sets the OutputDataConfig field's value.

func (*DescribeTrainingJobOutput) SetResourceConfig 

func (s *DescribeTrainingJobOutput) SetResourceConfig(v *ResourceConfig) *DescribeTrainingJobOutput

SetResourceConfig sets the ResourceConfig field's value.

func (*DescribeTrainingJobOutput) SetRoleArn 

func (s *DescribeTrainingJobOutput) SetRoleArn(v string) *DescribeTrainingJobOutput

SetRoleArn sets the RoleArn field's value.

func (*DescribeTrainingJobOutput) SetSecondaryStatus 

func (s *DescribeTrainingJobOutput) SetSecondaryStatus(v string) *DescribeTrainingJobOutput

SetSecondaryStatus sets the SecondaryStatus field's value.

func (*DescribeTrainingJobOutput) SetStoppingCondition 

func (s *DescribeTrainingJobOutput) SetStoppingCondition(v *StoppingCondition) *DescribeTrainingJobOutput

SetStoppingCondition sets the StoppingCondition field's value.

func (*DescribeTrainingJobOutput) SetTrainingEndTime 

func (s *DescribeTrainingJobOutput) SetTrainingEndTime(v time.Time) *DescribeTrainingJobOutput

SetTrainingEndTime sets the TrainingEndTime field's value.

func (*DescribeTrainingJobOutput) SetTrainingJobArn 

func (s *DescribeTrainingJobOutput) SetTrainingJobArn(v string) *DescribeTrainingJobOutput

SetTrainingJobArn sets the TrainingJobArn field's value.

func (*DescribeTrainingJobOutput) SetTrainingJobName 

func (s *DescribeTrainingJobOutput) SetTrainingJobName(v string) *DescribeTrainingJobOutput

SetTrainingJobName sets the TrainingJobName field's value.

func (*DescribeTrainingJobOutput) SetTrainingJobStatus 

func (s *DescribeTrainingJobOutput) SetTrainingJobStatus(v string) *DescribeTrainingJobOutput

SetTrainingJobStatus sets the TrainingJobStatus field's value.

func (*DescribeTrainingJobOutput) SetTrainingStartTime 

func (s *DescribeTrainingJobOutput) SetTrainingStartTime(v time.Time) *DescribeTrainingJobOutput

SetTrainingStartTime sets the TrainingStartTime field's value.

func (DescribeTrainingJobOutput) String 

func (s DescribeTrainingJobOutput) String() string

String returns the string representation

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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DesiredWeightAndCapacity

func (DesiredWeightAndCapacity) GoString 

func (s DesiredWeightAndCapacity) GoString() string

GoString returns the string representation

func (*DesiredWeightAndCapacity) SetDesiredInstanceCount 

func (s *DesiredWeightAndCapacity) SetDesiredInstanceCount(v int64) *DesiredWeightAndCapacity

SetDesiredInstanceCount sets the DesiredInstanceCount field's value.

func (*DesiredWeightAndCapacity) SetDesiredWeight 

func (s *DesiredWeightAndCapacity) SetDesiredWeight(v float64) *DesiredWeightAndCapacity

SetDesiredWeight sets the DesiredWeight field's value.

func (*DesiredWeightAndCapacity) SetVariantName 

func (s *DesiredWeightAndCapacity) SetVariantName(v string) *DesiredWeightAndCapacity

SetVariantName sets the VariantName field's value.

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 EndpointConfigSummary 

type EndpointConfigSummary struct {

	// A timestamp that shows when the endpoint configuration was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix" 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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/EndpointConfigSummary

func (EndpointConfigSummary) GoString 

func (s EndpointConfigSummary) GoString() string

GoString returns the string representation

func (*EndpointConfigSummary) SetCreationTime 

func (s *EndpointConfigSummary) SetCreationTime(v time.Time) *EndpointConfigSummary

SetCreationTime sets the CreationTime field's value.

func (*EndpointConfigSummary) SetEndpointConfigArn 

func (s *EndpointConfigSummary) SetEndpointConfigArn(v string) *EndpointConfigSummary

SetEndpointConfigArn sets the EndpointConfigArn field's value.

func (*EndpointConfigSummary) SetEndpointConfigName 

func (s *EndpointConfigSummary) SetEndpointConfigName(v string) *EndpointConfigSummary

SetEndpointConfigName sets the EndpointConfigName field's value.

func (EndpointConfigSummary) String 

func (s EndpointConfigSummary) String() string

String returns the string representation

type EndpointSummary 

type EndpointSummary struct {

	// A timestamp that shows when the endpoint was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix" 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.
	//
	// EndpointStatus is a required field
	EndpointStatus *string `type:"string" required:"true" enum:"EndpointStatus"`

	// A timestamp that shows when the endpoint was last modified.
	//
	// LastModifiedTime is a required field
	LastModifiedTime *time.Time `type:"timestamp" timestampFormat:"unix" required:"true"`
	// contains filtered or unexported fields
}

Provides summary information for an endpoint. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/EndpointSummary

func (EndpointSummary) GoString 

func (s EndpointSummary) GoString() string

GoString returns the string representation

func (*EndpointSummary) SetCreationTime 

func (s *EndpointSummary) SetCreationTime(v time.Time) *EndpointSummary

SetCreationTime sets the CreationTime field's value.

func (*EndpointSummary) SetEndpointArn 

func (s *EndpointSummary) SetEndpointArn(v string) *EndpointSummary

SetEndpointArn sets the EndpointArn field's value.

func (*EndpointSummary) SetEndpointName 

func (s *EndpointSummary) SetEndpointName(v string) *EndpointSummary

SetEndpointName sets the EndpointName field's value.

func (*EndpointSummary) SetEndpointStatus 

func (s *EndpointSummary) SetEndpointStatus(v string) *EndpointSummary

SetEndpointStatus sets the EndpointStatus field's value.

func (*EndpointSummary) SetLastModifiedTime 

func (s *EndpointSummary) SetLastModifiedTime(v time.Time) *EndpointSummary

SetLastModifiedTime sets the LastModifiedTime field's value.

func (EndpointSummary) String 

func (s EndpointSummary) String() string

String returns the string representation

type ListEndpointConfigsInput 

type ListEndpointConfigsInput struct {

	// A filter that returns only endpoint configurations created after the specified
	// time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only endpoint configurations created before the specified
	// time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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 *string `type:"string" enum:"EndpointConfigSortKey"`

	// The sort order for results. The default is Ascending.
	SortOrder *string `type:"string" enum:"OrderKey"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointConfigsInput

func (ListEndpointConfigsInput) GoString 

func (s ListEndpointConfigsInput) GoString() string

GoString returns the string representation

func (*ListEndpointConfigsInput) SetCreationTimeAfter 

func (s *ListEndpointConfigsInput) SetCreationTimeAfter(v time.Time) *ListEndpointConfigsInput

SetCreationTimeAfter sets the CreationTimeAfter field's value.

func (*ListEndpointConfigsInput) SetCreationTimeBefore 

func (s *ListEndpointConfigsInput) SetCreationTimeBefore(v time.Time) *ListEndpointConfigsInput

SetCreationTimeBefore sets the CreationTimeBefore field's value.

func (*ListEndpointConfigsInput) SetMaxResults 

func (s *ListEndpointConfigsInput) SetMaxResults(v int64) *ListEndpointConfigsInput

SetMaxResults sets the MaxResults field's value.

func (*ListEndpointConfigsInput) SetNameContains 

func (s *ListEndpointConfigsInput) SetNameContains(v string) *ListEndpointConfigsInput

SetNameContains sets the NameContains field's value.

func (*ListEndpointConfigsInput) SetNextToken 

func (s *ListEndpointConfigsInput) SetNextToken(v string) *ListEndpointConfigsInput

SetNextToken sets the NextToken field's value.

func (*ListEndpointConfigsInput) SetSortBy 

func (s *ListEndpointConfigsInput) SetSortBy(v string) *ListEndpointConfigsInput

SetSortBy sets the SortBy field's value.

func (*ListEndpointConfigsInput) SetSortOrder 

func (s *ListEndpointConfigsInput) SetSortOrder(v string) *ListEndpointConfigsInput

SetSortOrder sets the SortOrder field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointConfigsOutput

func (ListEndpointConfigsOutput) GoString 

func (s ListEndpointConfigsOutput) GoString() string

GoString returns the string representation

func (*ListEndpointConfigsOutput) SetEndpointConfigs 

func (s *ListEndpointConfigsOutput) SetEndpointConfigs(v []*EndpointConfigSummary) *ListEndpointConfigsOutput

SetEndpointConfigs sets the EndpointConfigs field's value.

func (*ListEndpointConfigsOutput) SetNextToken 

func (s *ListEndpointConfigsOutput) SetNextToken(v string) *ListEndpointConfigsOutput

SetNextToken sets the NextToken field's value.

func (ListEndpointConfigsOutput) String 

func (s ListEndpointConfigsOutput) String() string

String returns the string representation

type ListEndpointsInput 

type ListEndpointsInput struct {

	// A filter that returns only endpoints that were created after the specified
	// time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only endpoints that were created before the specified
	// time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only endpoints that were modified after the specified
	// timestamp.
	LastModifiedTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only endpoints that were modified before the specified
	// timestamp.
	LastModifiedTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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 *string `type:"string" enum:"EndpointSortKey"`

	// The sort order for results. The default is Ascending.
	SortOrder *string `type:"string" enum:"OrderKey"`

	// A filter that returns only endpoints with the specified status.
	StatusEquals *string `type:"string" enum:"EndpointStatus"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointsInput

func (ListEndpointsInput) GoString 

func (s ListEndpointsInput) GoString() string

GoString returns the string representation

func (*ListEndpointsInput) SetCreationTimeAfter 

func (s *ListEndpointsInput) SetCreationTimeAfter(v time.Time) *ListEndpointsInput

SetCreationTimeAfter sets the CreationTimeAfter field's value.

func (*ListEndpointsInput) SetCreationTimeBefore 

func (s *ListEndpointsInput) SetCreationTimeBefore(v time.Time) *ListEndpointsInput

SetCreationTimeBefore sets the CreationTimeBefore field's value.

func (*ListEndpointsInput) SetLastModifiedTimeAfter 

func (s *ListEndpointsInput) SetLastModifiedTimeAfter(v time.Time) *ListEndpointsInput

SetLastModifiedTimeAfter sets the LastModifiedTimeAfter field's value.

func (*ListEndpointsInput) SetLastModifiedTimeBefore 

func (s *ListEndpointsInput) SetLastModifiedTimeBefore(v time.Time) *ListEndpointsInput

SetLastModifiedTimeBefore sets the LastModifiedTimeBefore field's value.

func (*ListEndpointsInput) SetMaxResults 

func (s *ListEndpointsInput) SetMaxResults(v int64) *ListEndpointsInput

SetMaxResults sets the MaxResults field's value.

func (*ListEndpointsInput) SetNameContains 

func (s *ListEndpointsInput) SetNameContains(v string) *ListEndpointsInput

SetNameContains sets the NameContains field's value.

func (*ListEndpointsInput) SetNextToken 

func (s *ListEndpointsInput) SetNextToken(v string) *ListEndpointsInput

SetNextToken sets the NextToken field's value.

func (*ListEndpointsInput) SetSortBy 

func (s *ListEndpointsInput) SetSortBy(v string) *ListEndpointsInput

SetSortBy sets the SortBy field's value.

func (*ListEndpointsInput) SetSortOrder 

func (s *ListEndpointsInput) SetSortOrder(v string) *ListEndpointsInput

SetSortOrder sets the SortOrder field's value.

func (*ListEndpointsInput) SetStatusEquals 

func (s *ListEndpointsInput) SetStatusEquals(v string) *ListEndpointsInput

SetStatusEquals sets the StatusEquals field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointsOutput

func (ListEndpointsOutput) GoString 

func (s ListEndpointsOutput) GoString() string

GoString returns the string representation

func (*ListEndpointsOutput) SetEndpoints 

func (s *ListEndpointsOutput) SetEndpoints(v []*EndpointSummary) *ListEndpointsOutput

SetEndpoints sets the Endpoints field's value.

func (*ListEndpointsOutput) SetNextToken 

func (s *ListEndpointsOutput) SetNextToken(v string) *ListEndpointsOutput

SetNextToken sets the NextToken field's value.

func (ListEndpointsOutput) String 

func (s ListEndpointsOutput) String() string

String returns the string representation

type ListModelsInput 

type ListModelsInput struct {

	// A filter that returns only models created after the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only models created before the specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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 *string `type:"string" enum:"ModelSortKey"`

	// The sort order for results. The default is Ascending.
	SortOrder *string `type:"string" enum:"OrderKey"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModelsInput

func (ListModelsInput) GoString 

func (s ListModelsInput) GoString() string

GoString returns the string representation

func (*ListModelsInput) SetCreationTimeAfter 

func (s *ListModelsInput) SetCreationTimeAfter(v time.Time) *ListModelsInput

SetCreationTimeAfter sets the CreationTimeAfter field's value.

func (*ListModelsInput) SetCreationTimeBefore 

func (s *ListModelsInput) SetCreationTimeBefore(v time.Time) *ListModelsInput

SetCreationTimeBefore sets the CreationTimeBefore field's value.

func (*ListModelsInput) SetMaxResults 

func (s *ListModelsInput) SetMaxResults(v int64) *ListModelsInput

SetMaxResults sets the MaxResults field's value.

func (*ListModelsInput) SetNameContains 

func (s *ListModelsInput) SetNameContains(v string) *ListModelsInput

SetNameContains sets the NameContains field's value.

func (*ListModelsInput) SetNextToken 

func (s *ListModelsInput) SetNextToken(v string) *ListModelsInput

SetNextToken sets the NextToken field's value.

func (*ListModelsInput) SetSortBy 

func (s *ListModelsInput) SetSortBy(v string) *ListModelsInput

SetSortBy sets the SortBy field's value.

func (*ListModelsInput) SetSortOrder 

func (s *ListModelsInput) SetSortOrder(v string) *ListModelsInput

SetSortOrder sets the SortOrder field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModelsOutput

func (ListModelsOutput) GoString 

func (s ListModelsOutput) GoString() string

GoString returns the string representation

func (*ListModelsOutput) SetModels 

func (s *ListModelsOutput) SetModels(v []*ModelSummary) *ListModelsOutput

SetModels sets the Models field's value.

func (*ListModelsOutput) SetNextToken 

func (s *ListModelsOutput) SetNextToken(v string) *ListModelsOutput

SetNextToken sets the NextToken field's value.

func (ListModelsOutput) String 

func (s ListModelsOutput) String() string

String returns the string representation

type ListNotebookInstancesInput 

type ListNotebookInstancesInput struct {

	// A filter that returns only notebook instances that were created after the
	// specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only notebook instances that were created before the
	// specified time (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only notebook instances that were modified after the
	// specified time (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only notebook instances that were modified before the
	// specified time (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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"`

	// The field to sort results by. The default is Name.
	SortBy *string `type:"string" enum:"NotebookInstanceSortKey"`

	// The sort order for results.
	SortOrder *string `type:"string" enum:"NotebookInstanceSortOrder"`

	// A filter that returns only notebook instances with the specified status.
	StatusEquals *string `type:"string" enum:"NotebookInstanceStatus"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstancesInput

func (ListNotebookInstancesInput) GoString 

func (s ListNotebookInstancesInput) GoString() string

GoString returns the string representation

func (*ListNotebookInstancesInput) SetCreationTimeAfter 

func (s *ListNotebookInstancesInput) SetCreationTimeAfter(v time.Time) *ListNotebookInstancesInput

SetCreationTimeAfter sets the CreationTimeAfter field's value.

func (*ListNotebookInstancesInput) SetCreationTimeBefore 

func (s *ListNotebookInstancesInput) SetCreationTimeBefore(v time.Time) *ListNotebookInstancesInput

SetCreationTimeBefore sets the CreationTimeBefore field's value.

func (*ListNotebookInstancesInput) SetLastModifiedTimeAfter 

func (s *ListNotebookInstancesInput) SetLastModifiedTimeAfter(v time.Time) *ListNotebookInstancesInput

SetLastModifiedTimeAfter sets the LastModifiedTimeAfter field's value.

func (*ListNotebookInstancesInput) SetLastModifiedTimeBefore 

func (s *ListNotebookInstancesInput) SetLastModifiedTimeBefore(v time.Time) *ListNotebookInstancesInput

SetLastModifiedTimeBefore sets the LastModifiedTimeBefore field's value.

func (*ListNotebookInstancesInput) SetMaxResults 

func (s *ListNotebookInstancesInput) SetMaxResults(v int64) *ListNotebookInstancesInput

SetMaxResults sets the MaxResults field's value.

func (*ListNotebookInstancesInput) SetNameContains 

func (s *ListNotebookInstancesInput) SetNameContains(v string) *ListNotebookInstancesInput

SetNameContains sets the NameContains field's value.

func (*ListNotebookInstancesInput) SetNextToken 

func (s *ListNotebookInstancesInput) SetNextToken(v string) *ListNotebookInstancesInput

SetNextToken sets the NextToken field's value.

func (*ListNotebookInstancesInput) SetSortBy 

func (s *ListNotebookInstancesInput) SetSortBy(v string) *ListNotebookInstancesInput

SetSortBy sets the SortBy field's value.

func (*ListNotebookInstancesInput) SetSortOrder 

func (s *ListNotebookInstancesInput) SetSortOrder(v string) *ListNotebookInstancesInput

SetSortOrder sets the SortOrder field's value.

func (*ListNotebookInstancesInput) SetStatusEquals 

func (s *ListNotebookInstancesInput) SetStatusEquals(v string) *ListNotebookInstancesInput

SetStatusEquals sets the StatusEquals field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstancesOutput

func (ListNotebookInstancesOutput) GoString 

func (s ListNotebookInstancesOutput) GoString() string

GoString returns the string representation

func (*ListNotebookInstancesOutput) SetNextToken 

func (s *ListNotebookInstancesOutput) SetNextToken(v string) *ListNotebookInstancesOutput

SetNextToken sets the NextToken field's value.

func (*ListNotebookInstancesOutput) SetNotebookInstances 

func (s *ListNotebookInstancesOutput) SetNotebookInstances(v []*NotebookInstanceSummary) *ListNotebookInstancesOutput

SetNotebookInstances sets the NotebookInstances field's value.

func (ListNotebookInstancesOutput) String 

func (s ListNotebookInstancesOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTagsInput

func (ListTagsInput) GoString 

func (s ListTagsInput) GoString() string

GoString returns the string representation

func (*ListTagsInput) SetMaxResults 

func (s *ListTagsInput) SetMaxResults(v int64) *ListTagsInput

SetMaxResults sets the MaxResults field's value.

func (*ListTagsInput) SetNextToken 

func (s *ListTagsInput) SetNextToken(v string) *ListTagsInput

SetNextToken sets the NextToken field's value.

func (*ListTagsInput) SetResourceArn 

func (s *ListTagsInput) SetResourceArn(v string) *ListTagsInput

SetResourceArn sets the ResourceArn field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTagsOutput

func (ListTagsOutput) GoString 

func (s ListTagsOutput) GoString() string

GoString returns the string representation

func (*ListTagsOutput) SetNextToken 

func (s *ListTagsOutput) SetNextToken(v string) *ListTagsOutput

SetNextToken sets the NextToken field's value.

func (*ListTagsOutput) SetTags 

func (s *ListTagsOutput) SetTags(v []*Tag) *ListTagsOutput

SetTags sets the Tags field's value.

func (ListTagsOutput) String 

func (s ListTagsOutput) String() string

String returns the string representation

type ListTrainingJobsInput 

type ListTrainingJobsInput struct {

	// A filter that only training jobs created after the specified time (timestamp).
	CreationTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only training jobs created before the specified time
	// (timestamp).
	CreationTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only training jobs modified after the specified time
	// (timestamp).
	LastModifiedTimeAfter *time.Time `type:"timestamp" timestampFormat:"unix"`

	// A filter that returns only training jobs modified before the specified time
	// (timestamp).
	LastModifiedTimeBefore *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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 models 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 *string `type:"string" enum:"SortBy"`

	// The sort order for results. The default is Ascending.
	SortOrder *string `type:"string" enum:"SortOrder"`

	// A filter that retrieves only training jobs with a specific status.
	StatusEquals *string `type:"string" enum:"TrainingJobStatus"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobsRequest

func (ListTrainingJobsInput) GoString 

func (s ListTrainingJobsInput) GoString() string

GoString returns the string representation

func (*ListTrainingJobsInput) SetCreationTimeAfter 

func (s *ListTrainingJobsInput) SetCreationTimeAfter(v time.Time) *ListTrainingJobsInput

SetCreationTimeAfter sets the CreationTimeAfter field's value.

func (*ListTrainingJobsInput) SetCreationTimeBefore 

func (s *ListTrainingJobsInput) SetCreationTimeBefore(v time.Time) *ListTrainingJobsInput

SetCreationTimeBefore sets the CreationTimeBefore field's value.

func (*ListTrainingJobsInput) SetLastModifiedTimeAfter 

func (s *ListTrainingJobsInput) SetLastModifiedTimeAfter(v time.Time) *ListTrainingJobsInput

SetLastModifiedTimeAfter sets the LastModifiedTimeAfter field's value.

func (*ListTrainingJobsInput) SetLastModifiedTimeBefore 

func (s *ListTrainingJobsInput) SetLastModifiedTimeBefore(v time.Time) *ListTrainingJobsInput

SetLastModifiedTimeBefore sets the LastModifiedTimeBefore field's value.

func (*ListTrainingJobsInput) SetMaxResults 

func (s *ListTrainingJobsInput) SetMaxResults(v int64) *ListTrainingJobsInput

SetMaxResults sets the MaxResults field's value.

func (*ListTrainingJobsInput) SetNameContains 

func (s *ListTrainingJobsInput) SetNameContains(v string) *ListTrainingJobsInput

SetNameContains sets the NameContains field's value.

func (*ListTrainingJobsInput) SetNextToken 

func (s *ListTrainingJobsInput) SetNextToken(v string) *ListTrainingJobsInput

SetNextToken sets the NextToken field's value.

func (*ListTrainingJobsInput) SetSortBy 

func (s *ListTrainingJobsInput) SetSortBy(v string) *ListTrainingJobsInput

SetSortBy sets the SortBy field's value.

func (*ListTrainingJobsInput) SetSortOrder 

func (s *ListTrainingJobsInput) SetSortOrder(v string) *ListTrainingJobsInput

SetSortOrder sets the SortOrder field's value.

func (*ListTrainingJobsInput) SetStatusEquals 

func (s *ListTrainingJobsInput) SetStatusEquals(v string) *ListTrainingJobsInput

SetStatusEquals sets the StatusEquals field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobsResponse

func (ListTrainingJobsOutput) GoString 

func (s ListTrainingJobsOutput) GoString() string

GoString returns the string representation

func (*ListTrainingJobsOutput) SetNextToken 

func (s *ListTrainingJobsOutput) SetNextToken(v string) *ListTrainingJobsOutput

SetNextToken sets the NextToken field's value.

func (*ListTrainingJobsOutput) SetTrainingJobSummaries 

func (s *ListTrainingJobsOutput) SetTrainingJobSummaries(v []*TrainingJobSummary) *ListTrainingJobsOutput

SetTrainingJobSummaries sets the TrainingJobSummaries field's value.

func (ListTrainingJobsOutput) String 

func (s ListTrainingJobsOutput) String() string

String returns the string representation

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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ModelArtifacts

func (ModelArtifacts) GoString 

func (s ModelArtifacts) GoString() string

GoString returns the string representation

func (*ModelArtifacts) SetS3ModelArtifacts 

func (s *ModelArtifacts) SetS3ModelArtifacts(v string) *ModelArtifacts

SetS3ModelArtifacts sets the S3ModelArtifacts field's value.

func (ModelArtifacts) String 

func (s ModelArtifacts) String() string

String returns the string representation

type ModelSummary 

type ModelSummary struct {

	// A timestamp that indicates when the model was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix" 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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ModelSummary

func (ModelSummary) GoString 

func (s ModelSummary) GoString() string

GoString returns the string representation

func (*ModelSummary) SetCreationTime 

func (s *ModelSummary) SetCreationTime(v time.Time) *ModelSummary

SetCreationTime sets the CreationTime field's value.

func (*ModelSummary) SetModelArn 

func (s *ModelSummary) SetModelArn(v string) *ModelSummary

SetModelArn sets the ModelArn field's value.

func (*ModelSummary) SetModelName 

func (s *ModelSummary) SetModelName(v string) *ModelSummary

SetModelName sets the ModelName field's value.

func (ModelSummary) String 

func (s ModelSummary) String() string

String returns the string representation

type NotebookInstanceSummary 

type NotebookInstanceSummary struct {

	// A timestamp that shows when the notebook instance was created.
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix"`

	// The type of ML compute instance that the notebook instance is running on.
	InstanceType *string `type:"string" enum:"InstanceType"`

	// A timestamp that shows when the notebook instance was last modified.
	LastModifiedTime *time.Time `type:"timestamp" timestampFormat:"unix"`

	// The Amazon Resource Name (ARN) of the notebook instance.
	//
	// NotebookInstanceArn is a required field
	NotebookInstanceArn *string `type:"string" required:"true"`

	// 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 *string `type:"string" enum:"NotebookInstanceStatus"`

	// 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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/NotebookInstanceSummary

func (NotebookInstanceSummary) GoString 

func (s NotebookInstanceSummary) GoString() string

GoString returns the string representation

func (*NotebookInstanceSummary) SetCreationTime 

func (s *NotebookInstanceSummary) SetCreationTime(v time.Time) *NotebookInstanceSummary

SetCreationTime sets the CreationTime field's value.

func (*NotebookInstanceSummary) SetInstanceType 

func (s *NotebookInstanceSummary) SetInstanceType(v string) *NotebookInstanceSummary

SetInstanceType sets the InstanceType field's value.

func (*NotebookInstanceSummary) SetLastModifiedTime 

func (s *NotebookInstanceSummary) SetLastModifiedTime(v time.Time) *NotebookInstanceSummary

SetLastModifiedTime sets the LastModifiedTime field's value.

func (*NotebookInstanceSummary) SetNotebookInstanceArn 

func (s *NotebookInstanceSummary) SetNotebookInstanceArn(v string) *NotebookInstanceSummary

SetNotebookInstanceArn sets the NotebookInstanceArn field's value.

func (*NotebookInstanceSummary) SetNotebookInstanceName 

func (s *NotebookInstanceSummary) SetNotebookInstanceName(v string) *NotebookInstanceSummary

SetNotebookInstanceName sets the NotebookInstanceName field's value.

func (*NotebookInstanceSummary) SetNotebookInstanceStatus 

func (s *NotebookInstanceSummary) SetNotebookInstanceStatus(v string) *NotebookInstanceSummary

SetNotebookInstanceStatus sets the NotebookInstanceStatus field's value.

func (*NotebookInstanceSummary) SetUrl 

func (s *NotebookInstanceSummary) SetUrl(v string) *NotebookInstanceSummary

SetUrl sets the Url field's value.

func (NotebookInstanceSummary) String 

func (s NotebookInstanceSummary) String() string

String returns the string representation

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.
	//
	// If the configuration of the output S3 bucket requires server-side encryption
	// for objects, and you don't provide the KMS key ID, Amazon SageMaker uses
	// the default service key. For more information, see KMS-Managed Encryption
	// Keys (https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingKMSEncryption.html)
	// in Amazon Simple Storage Service developer guide.
	//
	// The KMS key policy must grant permission to the IAM role you specify in your
	// CreateTrainingJob request. 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"`

	// 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). See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/OutputDataConfig

func (OutputDataConfig) GoString 

func (s OutputDataConfig) GoString() string

GoString returns the string representation

func (*OutputDataConfig) SetKmsKeyId 

func (s *OutputDataConfig) SetKmsKeyId(v string) *OutputDataConfig

SetKmsKeyId sets the KmsKeyId field's value.

func (*OutputDataConfig) SetS3OutputPath 

func (s *OutputDataConfig) SetS3OutputPath(v string) *OutputDataConfig

SetS3OutputPath sets the S3OutputPath field's value.

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 ProductionVariant 

type ProductionVariant struct {

	// 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 *string `type:"string" required:"true" enum:"ProductionVariantInstanceType"`

	// 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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ProductionVariant

func (ProductionVariant) GoString 

func (s ProductionVariant) GoString() string

GoString returns the string representation

func (*ProductionVariant) SetInitialInstanceCount 

func (s *ProductionVariant) SetInitialInstanceCount(v int64) *ProductionVariant

SetInitialInstanceCount sets the InitialInstanceCount field's value.

func (*ProductionVariant) SetInitialVariantWeight 

func (s *ProductionVariant) SetInitialVariantWeight(v float64) *ProductionVariant

SetInitialVariantWeight sets the InitialVariantWeight field's value.

func (*ProductionVariant) SetInstanceType 

func (s *ProductionVariant) SetInstanceType(v string) *ProductionVariant

SetInstanceType sets the InstanceType field's value.

func (*ProductionVariant) SetModelName 

func (s *ProductionVariant) SetModelName(v string) *ProductionVariant

SetModelName sets the ModelName field's value.

func (*ProductionVariant) SetVariantName 

func (s *ProductionVariant) SetVariantName(v string) *ProductionVariant

SetVariantName sets the VariantName field's value.

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 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"`

	// The number of instances requested in the UpdateWeightAndCapacities request.
	DesiredInstanceCount *int64 `min:"1" type:"integer"`

	// The requested weight, as specified in the UpdateWeightAndCapacities 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 UpdateWeightAndCapacities API and the endpoint status is Updating, you get different desired and current values. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ProductionVariantSummary

func (ProductionVariantSummary) GoString 

func (s ProductionVariantSummary) GoString() string

GoString returns the string representation

func (*ProductionVariantSummary) SetCurrentInstanceCount 

func (s *ProductionVariantSummary) SetCurrentInstanceCount(v int64) *ProductionVariantSummary

SetCurrentInstanceCount sets the CurrentInstanceCount field's value.

func (*ProductionVariantSummary) SetCurrentWeight 

func (s *ProductionVariantSummary) SetCurrentWeight(v float64) *ProductionVariantSummary

SetCurrentWeight sets the CurrentWeight field's value.

func (*ProductionVariantSummary) SetDesiredInstanceCount 

func (s *ProductionVariantSummary) SetDesiredInstanceCount(v int64) *ProductionVariantSummary

SetDesiredInstanceCount sets the DesiredInstanceCount field's value.

func (*ProductionVariantSummary) SetDesiredWeight 

func (s *ProductionVariantSummary) SetDesiredWeight(v float64) *ProductionVariantSummary

SetDesiredWeight sets the DesiredWeight field's value.

func (*ProductionVariantSummary) SetVariantName 

func (s *ProductionVariantSummary) SetVariantName(v string) *ProductionVariantSummary

SetVariantName sets the VariantName field's value.

func (ProductionVariantSummary) String 

func (s ProductionVariantSummary) 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 *string `type:"string" required:"true" enum:"TrainingInstanceType"`

	// 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(s) that run the training job.
	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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ResourceConfig

func (ResourceConfig) GoString 

func (s ResourceConfig) GoString() string

GoString returns the string representation

func (*ResourceConfig) SetInstanceCount 

func (s *ResourceConfig) SetInstanceCount(v int64) *ResourceConfig

SetInstanceCount sets the InstanceCount field's value.

func (*ResourceConfig) SetInstanceType 

func (s *ResourceConfig) SetInstanceType(v string) *ResourceConfig

SetInstanceType sets the InstanceType field's value.

func (*ResourceConfig) SetVolumeKmsKeyId added in v1.12.69 

func (s *ResourceConfig) SetVolumeKmsKeyId(v string) *ResourceConfig

SetVolumeKmsKeyId sets the VolumeKmsKeyId field's value.

func (*ResourceConfig) SetVolumeSizeInGB 

func (s *ResourceConfig) SetVolumeSizeInGB(v int64) *ResourceConfig

SetVolumeSizeInGB sets the VolumeSizeInGB field's value.

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 S3DataSource 

type S3DataSource struct {

	// 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 *string `type:"string" enum:"S3DataDistribution"`

	// If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker
	// uses all objects with 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.
	//
	// S3DataType is a required field
	S3DataType *string `type:"string" required:"true" enum:"S3DataType"`

	// 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 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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/S3DataSource

func (S3DataSource) GoString 

func (s S3DataSource) GoString() string

GoString returns the string representation

func (*S3DataSource) SetS3DataDistributionType 

func (s *S3DataSource) SetS3DataDistributionType(v string) *S3DataSource

SetS3DataDistributionType sets the S3DataDistributionType field's value.

func (*S3DataSource) SetS3DataType 

func (s *S3DataSource) SetS3DataType(v string) *S3DataSource

SetS3DataType sets the S3DataType field's value.

func (*S3DataSource) SetS3Uri 

func (s *S3DataSource) SetS3Uri(v string) *S3DataSource

SetS3Uri sets the S3Uri field's value.

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 SageMaker 

type SageMaker struct {
	*client.Client
}

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

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

func New 

func New(p client.ConfigProvider, cfgs ...*aws.Config) *SageMaker

New creates a new instance of the SageMaker client with a session. If additional configuration is needed for the client instance use the optional aws.Config parameter to add your extra config.

Example: 

// Create a SageMaker client from just a session.
svc := sagemaker.New(mySession)

// Create a SageMaker client with additional configuration
svc := sagemaker.New(mySession, aws.NewConfig().WithRegion("us-west-2"))

func (*SageMaker) AddTags 

func (c *SageMaker) AddTags(input *AddTagsInput) (*AddTagsOutput, error)

AddTags 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, models, 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 Using Cost Allocation Tags (http://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what) in the AWS Billing and Cost Management User Guide.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation AddTags for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AddTags

func (*SageMaker) AddTagsRequest 

func (c *SageMaker) AddTagsRequest(input *AddTagsInput) (req *request.Request, output *AddTagsOutput)

AddTagsRequest generates a "aws/request.Request" representing the client's request for the AddTags operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See AddTags for more information on using the AddTags API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the AddTagsRequest method.
req, resp := client.AddTagsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) AddTagsWithContext 

func (c *SageMaker) AddTagsWithContext(ctx aws.Context, input *AddTagsInput, opts ...request.Option) (*AddTagsOutput, error)

AddTagsWithContext is the same as AddTags with the addition of the ability to pass a context and additional request options.

See AddTags for details on how to use this API operation.

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 (*SageMaker) CreateEndpoint 

func (c *SageMaker) CreateEndpoint(input *CreateEndpointInput) (*CreateEndpointOutput, error)

CreateEndpoint 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 (http://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpointConfig.html) API.

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

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 (http://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 (http://docs.aws.amazon.com/sagemaker/latest/dg/ex1.html).

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation CreateEndpoint for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) CreateEndpointConfig 

func (c *SageMaker) CreateEndpointConfig(input *CreateEndpointConfigInput) (*CreateEndpointConfigOutput, error)

CreateEndpointConfig 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 (http://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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation CreateEndpointConfig for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) CreateEndpointConfigRequest 

func (c *SageMaker) CreateEndpointConfigRequest(input *CreateEndpointConfigInput) (req *request.Request, output *CreateEndpointConfigOutput)

CreateEndpointConfigRequest generates a "aws/request.Request" representing the client's request for the CreateEndpointConfig operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateEndpointConfig for more information on using the CreateEndpointConfig API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the CreateEndpointConfigRequest method.
req, resp := client.CreateEndpointConfigRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) CreateEndpointConfigWithContext 

func (c *SageMaker) CreateEndpointConfigWithContext(ctx aws.Context, input *CreateEndpointConfigInput, opts ...request.Option) (*CreateEndpointConfigOutput, error)

CreateEndpointConfigWithContext is the same as CreateEndpointConfig with the addition of the ability to pass a context and additional request options.

See CreateEndpointConfig for details on how to use this API operation.

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 (*SageMaker) CreateEndpointRequest 

func (c *SageMaker) CreateEndpointRequest(input *CreateEndpointInput) (req *request.Request, output *CreateEndpointOutput)

CreateEndpointRequest generates a "aws/request.Request" representing the client's request for the CreateEndpoint operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateEndpoint for more information on using the CreateEndpoint API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the CreateEndpointRequest method.
req, resp := client.CreateEndpointRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) CreateEndpointWithContext 

func (c *SageMaker) CreateEndpointWithContext(ctx aws.Context, input *CreateEndpointInput, opts ...request.Option) (*CreateEndpointOutput, error)

CreateEndpointWithContext is the same as CreateEndpoint with the addition of the ability to pass a context and additional request options.

See CreateEndpoint for details on how to use this API operation.

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 (*SageMaker) CreateModel 

func (c *SageMaker) CreateModel(input *CreateModelInput) (*CreateModelOutput, error)

CreateModel API operation for Amazon SageMaker Service.

Creates a model in Amazon SageMaker. In the request, you name the model and describe one or more containers. For each 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 into production.

Use this API to create a model only if you want to use Amazon SageMaker hosting services. 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.

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. 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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation CreateModel for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) CreateModelRequest 

func (c *SageMaker) CreateModelRequest(input *CreateModelInput) (req *request.Request, output *CreateModelOutput)

CreateModelRequest generates a "aws/request.Request" representing the client's request for the CreateModel operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateModel for more information on using the CreateModel API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the CreateModelRequest method.
req, resp := client.CreateModelRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) CreateModelWithContext 

func (c *SageMaker) CreateModelWithContext(ctx aws.Context, input *CreateModelInput, opts ...request.Option) (*CreateModelOutput, error)

CreateModelWithContext is the same as CreateModel with the addition of the ability to pass a context and additional request options.

See CreateModel for details on how to use this API operation.

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 (*SageMaker) CreateNotebookInstance 

func (c *SageMaker) CreateNotebookInstance(input *CreateNotebookInstanceInput) (*CreateNotebookInstanceOutput, error)

CreateNotebookInstance API operation for Amazon SageMaker Service.

Creates an Amazon SageMaker notebook instance. A notebook instance is an ML compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, you 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 an 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, 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).

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 (http://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html).

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation CreateNotebookInstance for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) CreateNotebookInstanceRequest 

func (c *SageMaker) CreateNotebookInstanceRequest(input *CreateNotebookInstanceInput) (req *request.Request, output *CreateNotebookInstanceOutput)

CreateNotebookInstanceRequest generates a "aws/request.Request" representing the client's request for the CreateNotebookInstance operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateNotebookInstance for more information on using the CreateNotebookInstance API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the CreateNotebookInstanceRequest method.
req, resp := client.CreateNotebookInstanceRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) CreateNotebookInstanceWithContext 

func (c *SageMaker) CreateNotebookInstanceWithContext(ctx aws.Context, input *CreateNotebookInstanceInput, opts ...request.Option) (*CreateNotebookInstanceOutput, error)

CreateNotebookInstanceWithContext is the same as CreateNotebookInstance with the addition of the ability to pass a context and additional request options.

See CreateNotebookInstance for details on how to use this API operation.

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 (*SageMaker) CreatePresignedNotebookInstanceUrl 

func (c *SageMaker) CreatePresignedNotebookInstanceUrl(input *CreatePresignedNotebookInstanceUrlInput) (*CreatePresignedNotebookInstanceUrlOutput, error)

CreatePresignedNotebookInstanceUrl API operation for Amazon SageMaker Service.

Returns a URL that you can use to connect to the Juypter 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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation CreatePresignedNotebookInstanceUrl for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreatePresignedNotebookInstanceUrl

func (*SageMaker) CreatePresignedNotebookInstanceUrlRequest 

func (c *SageMaker) CreatePresignedNotebookInstanceUrlRequest(input *CreatePresignedNotebookInstanceUrlInput) (req *request.Request, output *CreatePresignedNotebookInstanceUrlOutput)

CreatePresignedNotebookInstanceUrlRequest generates a "aws/request.Request" representing the client's request for the CreatePresignedNotebookInstanceUrl operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreatePresignedNotebookInstanceUrl for more information on using the CreatePresignedNotebookInstanceUrl API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the CreatePresignedNotebookInstanceUrlRequest method.
req, resp := client.CreatePresignedNotebookInstanceUrlRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) CreatePresignedNotebookInstanceUrlWithContext 

func (c *SageMaker) CreatePresignedNotebookInstanceUrlWithContext(ctx aws.Context, input *CreatePresignedNotebookInstanceUrlInput, opts ...request.Option) (*CreatePresignedNotebookInstanceUrlOutput, error)

CreatePresignedNotebookInstanceUrlWithContext is the same as CreatePresignedNotebookInstanceUrl with the addition of the ability to pass a context and additional request options.

See CreatePresignedNotebookInstanceUrl for details on how to use this API operation.

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 (*SageMaker) CreateTrainingJob 

func (c *SageMaker) CreateTrainingJob(input *CreateTrainingJobInput) (*CreateTrainingJobOutput, error)

CreateTrainingJob 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 deep 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 influence the quality of the final model. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms (http://docs.aws.amazon.com/sagemaker/latest/dg/algos.html).

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

  • OutputDataConfig - Identifies the Amazon S3 location 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.

  • 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 - Sets a duration for training. Use this parameter to cap model training costs.

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

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation CreateTrainingJob for usage and error information.

Returned Error Codes:

  • ErrCodeResourceInUse "ResourceInUse" Resource being accessed is in use.

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) CreateTrainingJobRequest 

func (c *SageMaker) CreateTrainingJobRequest(input *CreateTrainingJobInput) (req *request.Request, output *CreateTrainingJobOutput)

CreateTrainingJobRequest generates a "aws/request.Request" representing the client's request for the CreateTrainingJob operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See CreateTrainingJob for more information on using the CreateTrainingJob API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the CreateTrainingJobRequest method.
req, resp := client.CreateTrainingJobRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) CreateTrainingJobWithContext 

func (c *SageMaker) CreateTrainingJobWithContext(ctx aws.Context, input *CreateTrainingJobInput, opts ...request.Option) (*CreateTrainingJobOutput, error)

CreateTrainingJobWithContext is the same as CreateTrainingJob with the addition of the ability to pass a context and additional request options.

See CreateTrainingJob for details on how to use this API operation.

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 (*SageMaker) DeleteEndpoint 

func (c *SageMaker) DeleteEndpoint(input *DeleteEndpointInput) (*DeleteEndpointOutput, error)

DeleteEndpoint 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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DeleteEndpoint for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpoint

func (*SageMaker) DeleteEndpointConfig 

func (c *SageMaker) DeleteEndpointConfig(input *DeleteEndpointConfigInput) (*DeleteEndpointConfigOutput, error)

DeleteEndpointConfig API operation for Amazon SageMaker Service.

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

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DeleteEndpointConfig for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteEndpointConfig

func (*SageMaker) DeleteEndpointConfigRequest 

func (c *SageMaker) DeleteEndpointConfigRequest(input *DeleteEndpointConfigInput) (req *request.Request, output *DeleteEndpointConfigOutput)

DeleteEndpointConfigRequest generates a "aws/request.Request" representing the client's request for the DeleteEndpointConfig operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DeleteEndpointConfig for more information on using the DeleteEndpointConfig API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DeleteEndpointConfigRequest method.
req, resp := client.DeleteEndpointConfigRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DeleteEndpointConfigWithContext 

func (c *SageMaker) DeleteEndpointConfigWithContext(ctx aws.Context, input *DeleteEndpointConfigInput, opts ...request.Option) (*DeleteEndpointConfigOutput, error)

DeleteEndpointConfigWithContext is the same as DeleteEndpointConfig with the addition of the ability to pass a context and additional request options.

See DeleteEndpointConfig for details on how to use this API operation.

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 (*SageMaker) DeleteEndpointRequest 

func (c *SageMaker) DeleteEndpointRequest(input *DeleteEndpointInput) (req *request.Request, output *DeleteEndpointOutput)

DeleteEndpointRequest generates a "aws/request.Request" representing the client's request for the DeleteEndpoint operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DeleteEndpoint for more information on using the DeleteEndpoint API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DeleteEndpointRequest method.
req, resp := client.DeleteEndpointRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DeleteEndpointWithContext 

func (c *SageMaker) DeleteEndpointWithContext(ctx aws.Context, input *DeleteEndpointInput, opts ...request.Option) (*DeleteEndpointOutput, error)

DeleteEndpointWithContext is the same as DeleteEndpoint with the addition of the ability to pass a context and additional request options.

See DeleteEndpoint for details on how to use this API operation.

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 (*SageMaker) DeleteModel 

func (c *SageMaker) DeleteModel(input *DeleteModelInput) (*DeleteModelOutput, error)

DeleteModel 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 (http://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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DeleteModel for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteModel

func (*SageMaker) DeleteModelRequest 

func (c *SageMaker) DeleteModelRequest(input *DeleteModelInput) (req *request.Request, output *DeleteModelOutput)

DeleteModelRequest generates a "aws/request.Request" representing the client's request for the DeleteModel operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DeleteModel for more information on using the DeleteModel API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DeleteModelRequest method.
req, resp := client.DeleteModelRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DeleteModelWithContext 

func (c *SageMaker) DeleteModelWithContext(ctx aws.Context, input *DeleteModelInput, opts ...request.Option) (*DeleteModelOutput, error)

DeleteModelWithContext is the same as DeleteModel with the addition of the ability to pass a context and additional request options.

See DeleteModel for details on how to use this API operation.

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 (*SageMaker) DeleteNotebookInstance 

func (c *SageMaker) DeleteNotebookInstance(input *DeleteNotebookInstanceInput) (*DeleteNotebookInstanceOutput, error)

DeleteNotebookInstance 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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DeleteNotebookInstance for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteNotebookInstance

func (*SageMaker) DeleteNotebookInstanceRequest 

func (c *SageMaker) DeleteNotebookInstanceRequest(input *DeleteNotebookInstanceInput) (req *request.Request, output *DeleteNotebookInstanceOutput)

DeleteNotebookInstanceRequest generates a "aws/request.Request" representing the client's request for the DeleteNotebookInstance operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DeleteNotebookInstance for more information on using the DeleteNotebookInstance API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DeleteNotebookInstanceRequest method.
req, resp := client.DeleteNotebookInstanceRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DeleteNotebookInstanceWithContext 

func (c *SageMaker) DeleteNotebookInstanceWithContext(ctx aws.Context, input *DeleteNotebookInstanceInput, opts ...request.Option) (*DeleteNotebookInstanceOutput, error)

DeleteNotebookInstanceWithContext is the same as DeleteNotebookInstance with the addition of the ability to pass a context and additional request options.

See DeleteNotebookInstance for details on how to use this API operation.

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 (*SageMaker) DeleteTags 

func (c *SageMaker) DeleteTags(input *DeleteTagsInput) (*DeleteTagsOutput, error)

DeleteTags 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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DeleteTags for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DeleteTags

func (*SageMaker) DeleteTagsRequest 

func (c *SageMaker) DeleteTagsRequest(input *DeleteTagsInput) (req *request.Request, output *DeleteTagsOutput)

DeleteTagsRequest generates a "aws/request.Request" representing the client's request for the DeleteTags operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DeleteTags for more information on using the DeleteTags API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DeleteTagsRequest method.
req, resp := client.DeleteTagsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DeleteTagsWithContext 

func (c *SageMaker) DeleteTagsWithContext(ctx aws.Context, input *DeleteTagsInput, opts ...request.Option) (*DeleteTagsOutput, error)

DeleteTagsWithContext is the same as DeleteTags with the addition of the ability to pass a context and additional request options.

See DeleteTags for details on how to use this API operation.

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 (*SageMaker) DescribeEndpoint 

func (c *SageMaker) DescribeEndpoint(input *DescribeEndpointInput) (*DescribeEndpointOutput, error)

DescribeEndpoint API operation for Amazon SageMaker Service.

Returns the description of an endpoint.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DescribeEndpoint for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpoint

func (*SageMaker) DescribeEndpointConfig 

func (c *SageMaker) DescribeEndpointConfig(input *DescribeEndpointConfigInput) (*DescribeEndpointConfigOutput, error)

DescribeEndpointConfig API operation for Amazon SageMaker Service.

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

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DescribeEndpointConfig for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeEndpointConfig

func (*SageMaker) DescribeEndpointConfigRequest 

func (c *SageMaker) DescribeEndpointConfigRequest(input *DescribeEndpointConfigInput) (req *request.Request, output *DescribeEndpointConfigOutput)

DescribeEndpointConfigRequest generates a "aws/request.Request" representing the client's request for the DescribeEndpointConfig operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DescribeEndpointConfig for more information on using the DescribeEndpointConfig API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DescribeEndpointConfigRequest method.
req, resp := client.DescribeEndpointConfigRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DescribeEndpointConfigWithContext 

func (c *SageMaker) DescribeEndpointConfigWithContext(ctx aws.Context, input *DescribeEndpointConfigInput, opts ...request.Option) (*DescribeEndpointConfigOutput, error)

DescribeEndpointConfigWithContext is the same as DescribeEndpointConfig with the addition of the ability to pass a context and additional request options.

See DescribeEndpointConfig for details on how to use this API operation.

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 (*SageMaker) DescribeEndpointRequest 

func (c *SageMaker) DescribeEndpointRequest(input *DescribeEndpointInput) (req *request.Request, output *DescribeEndpointOutput)

DescribeEndpointRequest generates a "aws/request.Request" representing the client's request for the DescribeEndpoint operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DescribeEndpoint for more information on using the DescribeEndpoint API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DescribeEndpointRequest method.
req, resp := client.DescribeEndpointRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DescribeEndpointWithContext 

func (c *SageMaker) DescribeEndpointWithContext(ctx aws.Context, input *DescribeEndpointInput, opts ...request.Option) (*DescribeEndpointOutput, error)

DescribeEndpointWithContext is the same as DescribeEndpoint with the addition of the ability to pass a context and additional request options.

See DescribeEndpoint for details on how to use this API operation.

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 (*SageMaker) DescribeModel 

func (c *SageMaker) DescribeModel(input *DescribeModelInput) (*DescribeModelOutput, error)

DescribeModel API operation for Amazon SageMaker Service.

Describes a model that you created using the CreateModel API.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DescribeModel for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeModel

func (*SageMaker) DescribeModelRequest 

func (c *SageMaker) DescribeModelRequest(input *DescribeModelInput) (req *request.Request, output *DescribeModelOutput)

DescribeModelRequest generates a "aws/request.Request" representing the client's request for the DescribeModel operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DescribeModel for more information on using the DescribeModel API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DescribeModelRequest method.
req, resp := client.DescribeModelRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DescribeModelWithContext 

func (c *SageMaker) DescribeModelWithContext(ctx aws.Context, input *DescribeModelInput, opts ...request.Option) (*DescribeModelOutput, error)

DescribeModelWithContext is the same as DescribeModel with the addition of the ability to pass a context and additional request options.

See DescribeModel for details on how to use this API operation.

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 (*SageMaker) DescribeNotebookInstance 

func (c *SageMaker) DescribeNotebookInstance(input *DescribeNotebookInstanceInput) (*DescribeNotebookInstanceOutput, error)

DescribeNotebookInstance API operation for Amazon SageMaker Service.

Returns information about a notebook instance.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DescribeNotebookInstance for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeNotebookInstance

func (*SageMaker) DescribeNotebookInstanceRequest 

func (c *SageMaker) DescribeNotebookInstanceRequest(input *DescribeNotebookInstanceInput) (req *request.Request, output *DescribeNotebookInstanceOutput)

DescribeNotebookInstanceRequest generates a "aws/request.Request" representing the client's request for the DescribeNotebookInstance operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DescribeNotebookInstance for more information on using the DescribeNotebookInstance API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DescribeNotebookInstanceRequest method.
req, resp := client.DescribeNotebookInstanceRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DescribeNotebookInstanceWithContext 

func (c *SageMaker) DescribeNotebookInstanceWithContext(ctx aws.Context, input *DescribeNotebookInstanceInput, opts ...request.Option) (*DescribeNotebookInstanceOutput, error)

DescribeNotebookInstanceWithContext is the same as DescribeNotebookInstance with the addition of the ability to pass a context and additional request options.

See DescribeNotebookInstance for details on how to use this API operation.

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 (*SageMaker) DescribeTrainingJob 

func (c *SageMaker) DescribeTrainingJob(input *DescribeTrainingJobInput) (*DescribeTrainingJobOutput, error)

DescribeTrainingJob API operation for Amazon SageMaker Service.

Returns information about a training job.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation DescribeTrainingJob for usage and error information.

Returned Error Codes:

  • ErrCodeResourceNotFound "ResourceNotFound" Resource being access is not found.

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

func (*SageMaker) DescribeTrainingJobRequest 

func (c *SageMaker) DescribeTrainingJobRequest(input *DescribeTrainingJobInput) (req *request.Request, output *DescribeTrainingJobOutput)

DescribeTrainingJobRequest generates a "aws/request.Request" representing the client's request for the DescribeTrainingJob operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See DescribeTrainingJob for more information on using the DescribeTrainingJob API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the DescribeTrainingJobRequest method.
req, resp := client.DescribeTrainingJobRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) DescribeTrainingJobWithContext 

func (c *SageMaker) DescribeTrainingJobWithContext(ctx aws.Context, input *DescribeTrainingJobInput, opts ...request.Option) (*DescribeTrainingJobOutput, error)

DescribeTrainingJobWithContext is the same as DescribeTrainingJob with the addition of the ability to pass a context and additional request options.

See DescribeTrainingJob for details on how to use this API operation.

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 (*SageMaker) ListEndpointConfigs 

func (c *SageMaker) ListEndpointConfigs(input *ListEndpointConfigsInput) (*ListEndpointConfigsOutput, error)

ListEndpointConfigs API operation for Amazon SageMaker Service.

Lists endpoint configurations.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation ListEndpointConfigs for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpointConfigs

func (*SageMaker) ListEndpointConfigsPages 

func (c *SageMaker) ListEndpointConfigsPages(input *ListEndpointConfigsInput, fn func(*ListEndpointConfigsOutput, bool) bool) error

ListEndpointConfigsPages iterates over the pages of a ListEndpointConfigs operation, calling the "fn" function with the response data for each page. To stop iterating, return false from the fn function.

See ListEndpointConfigs method for more information on how to use this operation.

Note: This operation can generate multiple requests to a service. 

// Example iterating over at most 3 pages of a ListEndpointConfigs operation.
pageNum := 0
err := client.ListEndpointConfigsPages(params,
    func(page *ListEndpointConfigsOutput, lastPage bool) bool {
        pageNum++
        fmt.Println(page)
        return pageNum <= 3
    })

func (*SageMaker) ListEndpointConfigsPagesWithContext 

func (c *SageMaker) ListEndpointConfigsPagesWithContext(ctx aws.Context, input *ListEndpointConfigsInput, fn func(*ListEndpointConfigsOutput, bool) bool, opts ...request.Option) error

ListEndpointConfigsPagesWithContext same as ListEndpointConfigsPages except it takes a Context and allows setting request options on the pages.

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 (*SageMaker) ListEndpointConfigsRequest 

func (c *SageMaker) ListEndpointConfigsRequest(input *ListEndpointConfigsInput) (req *request.Request, output *ListEndpointConfigsOutput)

ListEndpointConfigsRequest generates a "aws/request.Request" representing the client's request for the ListEndpointConfigs operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See ListEndpointConfigs for more information on using the ListEndpointConfigs API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the ListEndpointConfigsRequest method.
req, resp := client.ListEndpointConfigsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) ListEndpointConfigsWithContext 

func (c *SageMaker) ListEndpointConfigsWithContext(ctx aws.Context, input *ListEndpointConfigsInput, opts ...request.Option) (*ListEndpointConfigsOutput, error)

ListEndpointConfigsWithContext is the same as ListEndpointConfigs with the addition of the ability to pass a context and additional request options.

See ListEndpointConfigs for details on how to use this API operation.

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 (*SageMaker) ListEndpoints 

func (c *SageMaker) ListEndpoints(input *ListEndpointsInput) (*ListEndpointsOutput, error)

ListEndpoints API operation for Amazon SageMaker Service.

Lists endpoints.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation ListEndpoints for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListEndpoints

func (*SageMaker) ListEndpointsPages 

func (c *SageMaker) ListEndpointsPages(input *ListEndpointsInput, fn func(*ListEndpointsOutput, bool) bool) error

ListEndpointsPages iterates over the pages of a ListEndpoints operation, calling the "fn" function with the response data for each page. To stop iterating, return false from the fn function.

See ListEndpoints method for more information on how to use this operation.

Note: This operation can generate multiple requests to a service. 

// Example iterating over at most 3 pages of a ListEndpoints operation.
pageNum := 0
err := client.ListEndpointsPages(params,
    func(page *ListEndpointsOutput, lastPage bool) bool {
        pageNum++
        fmt.Println(page)
        return pageNum <= 3
    })

func (*SageMaker) ListEndpointsPagesWithContext 

func (c *SageMaker) ListEndpointsPagesWithContext(ctx aws.Context, input *ListEndpointsInput, fn func(*ListEndpointsOutput, bool) bool, opts ...request.Option) error

ListEndpointsPagesWithContext same as ListEndpointsPages except it takes a Context and allows setting request options on the pages.

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 (*SageMaker) ListEndpointsRequest 

func (c *SageMaker) ListEndpointsRequest(input *ListEndpointsInput) (req *request.Request, output *ListEndpointsOutput)

ListEndpointsRequest generates a "aws/request.Request" representing the client's request for the ListEndpoints operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See ListEndpoints for more information on using the ListEndpoints API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the ListEndpointsRequest method.
req, resp := client.ListEndpointsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) ListEndpointsWithContext 

func (c *SageMaker) ListEndpointsWithContext(ctx aws.Context, input *ListEndpointsInput, opts ...request.Option) (*ListEndpointsOutput, error)

ListEndpointsWithContext is the same as ListEndpoints with the addition of the ability to pass a context and additional request options.

See ListEndpoints for details on how to use this API operation.

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 (*SageMaker) ListModels 

func (c *SageMaker) ListModels(input *ListModelsInput) (*ListModelsOutput, error)

ListModels API operation for Amazon SageMaker Service.

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

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation ListModels for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListModels

func (*SageMaker) ListModelsPages 

func (c *SageMaker) ListModelsPages(input *ListModelsInput, fn func(*ListModelsOutput, bool) bool) error

ListModelsPages iterates over the pages of a ListModels operation, calling the "fn" function with the response data for each page. To stop iterating, return false from the fn function.

See ListModels method for more information on how to use this operation.

Note: This operation can generate multiple requests to a service. 

// Example iterating over at most 3 pages of a ListModels operation.
pageNum := 0
err := client.ListModelsPages(params,
    func(page *ListModelsOutput, lastPage bool) bool {
        pageNum++
        fmt.Println(page)
        return pageNum <= 3
    })

func (*SageMaker) ListModelsPagesWithContext 

func (c *SageMaker) ListModelsPagesWithContext(ctx aws.Context, input *ListModelsInput, fn func(*ListModelsOutput, bool) bool, opts ...request.Option) error

ListModelsPagesWithContext same as ListModelsPages except it takes a Context and allows setting request options on the pages.

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 (*SageMaker) ListModelsRequest 

func (c *SageMaker) ListModelsRequest(input *ListModelsInput) (req *request.Request, output *ListModelsOutput)

ListModelsRequest generates a "aws/request.Request" representing the client's request for the ListModels operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See ListModels for more information on using the ListModels API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the ListModelsRequest method.
req, resp := client.ListModelsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) ListModelsWithContext 

func (c *SageMaker) ListModelsWithContext(ctx aws.Context, input *ListModelsInput, opts ...request.Option) (*ListModelsOutput, error)

ListModelsWithContext is the same as ListModels with the addition of the ability to pass a context and additional request options.

See ListModels for details on how to use this API operation.

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 (*SageMaker) ListNotebookInstances 

func (c *SageMaker) ListNotebookInstances(input *ListNotebookInstancesInput) (*ListNotebookInstancesOutput, error)

ListNotebookInstances API operation for Amazon SageMaker Service.

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

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation ListNotebookInstances for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListNotebookInstances

func (*SageMaker) ListNotebookInstancesPages 

func (c *SageMaker) ListNotebookInstancesPages(input *ListNotebookInstancesInput, fn func(*ListNotebookInstancesOutput, bool) bool) error

ListNotebookInstancesPages iterates over the pages of a ListNotebookInstances operation, calling the "fn" function with the response data for each page. To stop iterating, return false from the fn function.

See ListNotebookInstances method for more information on how to use this operation.

Note: This operation can generate multiple requests to a service. 

// Example iterating over at most 3 pages of a ListNotebookInstances operation.
pageNum := 0
err := client.ListNotebookInstancesPages(params,
    func(page *ListNotebookInstancesOutput, lastPage bool) bool {
        pageNum++
        fmt.Println(page)
        return pageNum <= 3
    })

func (*SageMaker) ListNotebookInstancesPagesWithContext 

func (c *SageMaker) ListNotebookInstancesPagesWithContext(ctx aws.Context, input *ListNotebookInstancesInput, fn func(*ListNotebookInstancesOutput, bool) bool, opts ...request.Option) error

ListNotebookInstancesPagesWithContext same as ListNotebookInstancesPages except it takes a Context and allows setting request options on the pages.

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 (*SageMaker) ListNotebookInstancesRequest 

func (c *SageMaker) ListNotebookInstancesRequest(input *ListNotebookInstancesInput) (req *request.Request, output *ListNotebookInstancesOutput)

ListNotebookInstancesRequest generates a "aws/request.Request" representing the client's request for the ListNotebookInstances operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See ListNotebookInstances for more information on using the ListNotebookInstances API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the ListNotebookInstancesRequest method.
req, resp := client.ListNotebookInstancesRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) ListNotebookInstancesWithContext 

func (c *SageMaker) ListNotebookInstancesWithContext(ctx aws.Context, input *ListNotebookInstancesInput, opts ...request.Option) (*ListNotebookInstancesOutput, error)

ListNotebookInstancesWithContext is the same as ListNotebookInstances with the addition of the ability to pass a context and additional request options.

See ListNotebookInstances for details on how to use this API operation.

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 (*SageMaker) ListTags 

func (c *SageMaker) ListTags(input *ListTagsInput) (*ListTagsOutput, error)

ListTags API operation for Amazon SageMaker Service.

Returns the tags for the specified Amazon SageMaker resource.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation ListTags for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTags

func (*SageMaker) ListTagsPages 

func (c *SageMaker) ListTagsPages(input *ListTagsInput, fn func(*ListTagsOutput, bool) bool) error

ListTagsPages iterates over the pages of a ListTags operation, calling the "fn" function with the response data for each page. To stop iterating, return false from the fn function.

See ListTags method for more information on how to use this operation.

Note: This operation can generate multiple requests to a service. 

// Example iterating over at most 3 pages of a ListTags operation.
pageNum := 0
err := client.ListTagsPages(params,
    func(page *ListTagsOutput, lastPage bool) bool {
        pageNum++
        fmt.Println(page)
        return pageNum <= 3
    })

func (*SageMaker) ListTagsPagesWithContext 

func (c *SageMaker) ListTagsPagesWithContext(ctx aws.Context, input *ListTagsInput, fn func(*ListTagsOutput, bool) bool, opts ...request.Option) error

ListTagsPagesWithContext same as ListTagsPages except it takes a Context and allows setting request options on the pages.

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 (*SageMaker) ListTagsRequest 

func (c *SageMaker) ListTagsRequest(input *ListTagsInput) (req *request.Request, output *ListTagsOutput)

ListTagsRequest generates a "aws/request.Request" representing the client's request for the ListTags operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See ListTags for more information on using the ListTags API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the ListTagsRequest method.
req, resp := client.ListTagsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) ListTagsWithContext 

func (c *SageMaker) ListTagsWithContext(ctx aws.Context, input *ListTagsInput, opts ...request.Option) (*ListTagsOutput, error)

ListTagsWithContext is the same as ListTags with the addition of the ability to pass a context and additional request options.

See ListTags for details on how to use this API operation.

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 (*SageMaker) ListTrainingJobs 

func (c *SageMaker) ListTrainingJobs(input *ListTrainingJobsInput) (*ListTrainingJobsOutput, error)

ListTrainingJobs API operation for Amazon SageMaker Service.

Lists training jobs.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation ListTrainingJobs for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ListTrainingJobs

func (*SageMaker) ListTrainingJobsPages 

func (c *SageMaker) ListTrainingJobsPages(input *ListTrainingJobsInput, fn func(*ListTrainingJobsOutput, bool) bool) error

ListTrainingJobsPages iterates over the pages of a ListTrainingJobs operation, calling the "fn" function with the response data for each page. To stop iterating, return false from the fn function.

See ListTrainingJobs method for more information on how to use this operation.

Note: This operation can generate multiple requests to a service. 

// Example iterating over at most 3 pages of a ListTrainingJobs operation.
pageNum := 0
err := client.ListTrainingJobsPages(params,
    func(page *ListTrainingJobsOutput, lastPage bool) bool {
        pageNum++
        fmt.Println(page)
        return pageNum <= 3
    })

func (*SageMaker) ListTrainingJobsPagesWithContext 

func (c *SageMaker) ListTrainingJobsPagesWithContext(ctx aws.Context, input *ListTrainingJobsInput, fn func(*ListTrainingJobsOutput, bool) bool, opts ...request.Option) error

ListTrainingJobsPagesWithContext same as ListTrainingJobsPages except it takes a Context and allows setting request options on the pages.

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 (*SageMaker) ListTrainingJobsRequest 

func (c *SageMaker) ListTrainingJobsRequest(input *ListTrainingJobsInput) (req *request.Request, output *ListTrainingJobsOutput)

ListTrainingJobsRequest generates a "aws/request.Request" representing the client's request for the ListTrainingJobs operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See ListTrainingJobs for more information on using the ListTrainingJobs API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the ListTrainingJobsRequest method.
req, resp := client.ListTrainingJobsRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) ListTrainingJobsWithContext 

func (c *SageMaker) ListTrainingJobsWithContext(ctx aws.Context, input *ListTrainingJobsInput, opts ...request.Option) (*ListTrainingJobsOutput, error)

ListTrainingJobsWithContext is the same as ListTrainingJobs with the addition of the ability to pass a context and additional request options.

See ListTrainingJobs for details on how to use this API operation.

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 (*SageMaker) StartNotebookInstance 

func (c *SageMaker) StartNotebookInstance(input *StartNotebookInstanceInput) (*StartNotebookInstanceOutput, error)

StartNotebookInstance 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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation StartNotebookInstance for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) StartNotebookInstanceRequest 

func (c *SageMaker) StartNotebookInstanceRequest(input *StartNotebookInstanceInput) (req *request.Request, output *StartNotebookInstanceOutput)

StartNotebookInstanceRequest generates a "aws/request.Request" representing the client's request for the StartNotebookInstance operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See StartNotebookInstance for more information on using the StartNotebookInstance API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the StartNotebookInstanceRequest method.
req, resp := client.StartNotebookInstanceRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) StartNotebookInstanceWithContext 

func (c *SageMaker) StartNotebookInstanceWithContext(ctx aws.Context, input *StartNotebookInstanceInput, opts ...request.Option) (*StartNotebookInstanceOutput, error)

StartNotebookInstanceWithContext is the same as StartNotebookInstance with the addition of the ability to pass a context and additional request options.

See StartNotebookInstance for details on how to use this API operation.

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 (*SageMaker) StopNotebookInstance 

func (c *SageMaker) StopNotebookInstance(input *StopNotebookInstanceInput) (*StopNotebookInstanceOutput, error)

StopNotebookInstance 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.

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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation StopNotebookInstance for usage and error information. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopNotebookInstance

func (*SageMaker) StopNotebookInstanceRequest 

func (c *SageMaker) StopNotebookInstanceRequest(input *StopNotebookInstanceInput) (req *request.Request, output *StopNotebookInstanceOutput)

StopNotebookInstanceRequest generates a "aws/request.Request" representing the client's request for the StopNotebookInstance operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See StopNotebookInstance for more information on using the StopNotebookInstance API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the StopNotebookInstanceRequest method.
req, resp := client.StopNotebookInstanceRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) StopNotebookInstanceWithContext 

func (c *SageMaker) StopNotebookInstanceWithContext(ctx aws.Context, input *StopNotebookInstanceInput, opts ...request.Option) (*StopNotebookInstanceOutput, error)

StopNotebookInstanceWithContext is the same as StopNotebookInstance with the addition of the ability to pass a context and additional request options.

See StopNotebookInstance for details on how to use this API operation.

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 (*SageMaker) StopTrainingJob 

func (c *SageMaker) StopTrainingJob(input *StopTrainingJobInput) (*StopTrainingJobOutput, error)

StopTrainingJob 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.

Training algorithms provided by Amazon SageMaker save the intermediate results of a model training job. This intermediate data is a valid model artifact. You can use the model artifacts that are saved when Amazon SageMaker stops a training job to create a model.

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.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation StopTrainingJob for usage and error information.

Returned Error Codes:

  • ErrCodeResourceNotFound "ResourceNotFound" Resource being access is not found.

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

func (*SageMaker) StopTrainingJobRequest 

func (c *SageMaker) StopTrainingJobRequest(input *StopTrainingJobInput) (req *request.Request, output *StopTrainingJobOutput)

StopTrainingJobRequest generates a "aws/request.Request" representing the client's request for the StopTrainingJob operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See StopTrainingJob for more information on using the StopTrainingJob API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the StopTrainingJobRequest method.
req, resp := client.StopTrainingJobRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) StopTrainingJobWithContext 

func (c *SageMaker) StopTrainingJobWithContext(ctx aws.Context, input *StopTrainingJobInput, opts ...request.Option) (*StopTrainingJobOutput, error)

StopTrainingJobWithContext is the same as StopTrainingJob with the addition of the ability to pass a context and additional request options.

See StopTrainingJob for details on how to use this API operation.

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 (*SageMaker) UpdateEndpoint 

func (c *SageMaker) UpdateEndpoint(input *UpdateEndpointInput) (*UpdateEndpointOutput, error)

UpdateEndpoint 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 (http://docs.aws.amazon.com/sagemaker/latest/dg/API_DescribeEndpoint.html) API.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation UpdateEndpoint for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) UpdateEndpointRequest 

func (c *SageMaker) UpdateEndpointRequest(input *UpdateEndpointInput) (req *request.Request, output *UpdateEndpointOutput)

UpdateEndpointRequest generates a "aws/request.Request" representing the client's request for the UpdateEndpoint operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See UpdateEndpoint for more information on using the UpdateEndpoint API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the UpdateEndpointRequest method.
req, resp := client.UpdateEndpointRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) UpdateEndpointWeightsAndCapacities 

func (c *SageMaker) UpdateEndpointWeightsAndCapacities(input *UpdateEndpointWeightsAndCapacitiesInput) (*UpdateEndpointWeightsAndCapacitiesOutput, error)

UpdateEndpointWeightsAndCapacities 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 (http://docs.aws.amazon.com/sagemaker/latest/dg/API_DescribeEndpoint.html) API.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation UpdateEndpointWeightsAndCapacities for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) UpdateEndpointWeightsAndCapacitiesRequest 

func (c *SageMaker) UpdateEndpointWeightsAndCapacitiesRequest(input *UpdateEndpointWeightsAndCapacitiesInput) (req *request.Request, output *UpdateEndpointWeightsAndCapacitiesOutput)

UpdateEndpointWeightsAndCapacitiesRequest generates a "aws/request.Request" representing the client's request for the UpdateEndpointWeightsAndCapacities operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See UpdateEndpointWeightsAndCapacities for more information on using the UpdateEndpointWeightsAndCapacities API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the UpdateEndpointWeightsAndCapacitiesRequest method.
req, resp := client.UpdateEndpointWeightsAndCapacitiesRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) UpdateEndpointWeightsAndCapacitiesWithContext 

func (c *SageMaker) UpdateEndpointWeightsAndCapacitiesWithContext(ctx aws.Context, input *UpdateEndpointWeightsAndCapacitiesInput, opts ...request.Option) (*UpdateEndpointWeightsAndCapacitiesOutput, error)

UpdateEndpointWeightsAndCapacitiesWithContext is the same as UpdateEndpointWeightsAndCapacities with the addition of the ability to pass a context and additional request options.

See UpdateEndpointWeightsAndCapacities for details on how to use this API operation.

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 (*SageMaker) UpdateEndpointWithContext 

func (c *SageMaker) UpdateEndpointWithContext(ctx aws.Context, input *UpdateEndpointInput, opts ...request.Option) (*UpdateEndpointOutput, error)

UpdateEndpointWithContext is the same as UpdateEndpoint with the addition of the ability to pass a context and additional request options.

See UpdateEndpoint for details on how to use this API operation.

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 (*SageMaker) UpdateNotebookInstance 

func (c *SageMaker) UpdateNotebookInstance(input *UpdateNotebookInstanceInput) (*UpdateNotebookInstanceOutput, error)

UpdateNotebookInstance 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. You can also update the VPC security groups.

Returns awserr.Error for service API and SDK errors. Use runtime type assertions with awserr.Error's Code and Message methods to get detailed information about the error.

See the AWS API reference guide for Amazon SageMaker Service's API operation UpdateNotebookInstance for usage and error information.

Returned Error Codes:

  • ErrCodeResourceLimitExceeded "ResourceLimitExceeded" You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

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

func (*SageMaker) UpdateNotebookInstanceRequest 

func (c *SageMaker) UpdateNotebookInstanceRequest(input *UpdateNotebookInstanceInput) (req *request.Request, output *UpdateNotebookInstanceOutput)

UpdateNotebookInstanceRequest generates a "aws/request.Request" representing the client's request for the UpdateNotebookInstance operation. The "output" return value will be populated with the request's response once the request complets successfuly.

Use "Send" method on the returned Request to send the API call to the service. the "output" return value is not valid until after Send returns without error.

See UpdateNotebookInstance for more information on using the UpdateNotebookInstance API call, and error handling.

This method is useful when you want to inject custom logic or configuration into the SDK's request lifecycle. Such as custom headers, or retry logic. 

// Example sending a request using the UpdateNotebookInstanceRequest method.
req, resp := client.UpdateNotebookInstanceRequest(params)

err := req.Send()
if err == nil { // resp is now filled
    fmt.Println(resp)
}

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

func (*SageMaker) UpdateNotebookInstanceWithContext 

func (c *SageMaker) UpdateNotebookInstanceWithContext(ctx aws.Context, input *UpdateNotebookInstanceInput, opts ...request.Option) (*UpdateNotebookInstanceOutput, error)

UpdateNotebookInstanceWithContext is the same as UpdateNotebookInstance with the addition of the ability to pass a context and additional request options.

See UpdateNotebookInstance for details on how to use this API operation.

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 (*SageMaker) WaitUntilEndpointDeleted added in v1.12.43 

func (c *SageMaker) WaitUntilEndpointDeleted(input *DescribeEndpointInput) 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.

func (*SageMaker) WaitUntilEndpointDeletedWithContext added in v1.12.43 

func (c *SageMaker) WaitUntilEndpointDeletedWithContext(ctx aws.Context, input *DescribeEndpointInput, opts ...request.WaiterOption) error

WaitUntilEndpointDeletedWithContext is an extended version of WaitUntilEndpointDeleted. With the support for passing in a context and options to configure the Waiter and the underlying request options.

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 (*SageMaker) WaitUntilEndpointInService added in v1.12.43 

func (c *SageMaker) WaitUntilEndpointInService(input *DescribeEndpointInput) 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.

func (*SageMaker) WaitUntilEndpointInServiceWithContext added in v1.12.43 

func (c *SageMaker) WaitUntilEndpointInServiceWithContext(ctx aws.Context, input *DescribeEndpointInput, opts ...request.WaiterOption) error

WaitUntilEndpointInServiceWithContext is an extended version of WaitUntilEndpointInService. With the support for passing in a context and options to configure the Waiter and the underlying request options.

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 (*SageMaker) WaitUntilNotebookInstanceDeleted added in v1.12.43 

func (c *SageMaker) WaitUntilNotebookInstanceDeleted(input *DescribeNotebookInstanceInput) 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.

func (*SageMaker) WaitUntilNotebookInstanceDeletedWithContext added in v1.12.43 

func (c *SageMaker) WaitUntilNotebookInstanceDeletedWithContext(ctx aws.Context, input *DescribeNotebookInstanceInput, opts ...request.WaiterOption) error

WaitUntilNotebookInstanceDeletedWithContext is an extended version of WaitUntilNotebookInstanceDeleted. With the support for passing in a context and options to configure the Waiter and the underlying request options.

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 (*SageMaker) WaitUntilNotebookInstanceInService added in v1.12.43 

func (c *SageMaker) WaitUntilNotebookInstanceInService(input *DescribeNotebookInstanceInput) 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.

func (*SageMaker) WaitUntilNotebookInstanceInServiceWithContext added in v1.12.43 

func (c *SageMaker) WaitUntilNotebookInstanceInServiceWithContext(ctx aws.Context, input *DescribeNotebookInstanceInput, opts ...request.WaiterOption) error

WaitUntilNotebookInstanceInServiceWithContext is an extended version of WaitUntilNotebookInstanceInService. With the support for passing in a context and options to configure the Waiter and the underlying request options.

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 (*SageMaker) WaitUntilNotebookInstanceStopped added in v1.12.43 

func (c *SageMaker) WaitUntilNotebookInstanceStopped(input *DescribeNotebookInstanceInput) 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.

func (*SageMaker) WaitUntilNotebookInstanceStoppedWithContext added in v1.12.43 

func (c *SageMaker) WaitUntilNotebookInstanceStoppedWithContext(ctx aws.Context, input *DescribeNotebookInstanceInput, opts ...request.WaiterOption) error

WaitUntilNotebookInstanceStoppedWithContext is an extended version of WaitUntilNotebookInstanceStopped. With the support for passing in a context and options to configure the Waiter and the underlying request options.

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 (*SageMaker) WaitUntilTrainingJobCompletedOrStopped added in v1.12.43 

func (c *SageMaker) WaitUntilTrainingJobCompletedOrStopped(input *DescribeTrainingJobInput) 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.

func (*SageMaker) WaitUntilTrainingJobCompletedOrStoppedWithContext added in v1.12.43 

func (c *SageMaker) WaitUntilTrainingJobCompletedOrStoppedWithContext(ctx aws.Context, input *DescribeTrainingJobInput, opts ...request.WaiterOption) error

WaitUntilTrainingJobCompletedOrStoppedWithContext is an extended version of WaitUntilTrainingJobCompletedOrStopped. With the support for passing in a context and options to configure the Waiter and the underlying request options.

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 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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StartNotebookInstanceInput

func (StartNotebookInstanceInput) GoString 

func (s StartNotebookInstanceInput) GoString() string

GoString returns the string representation

func (*StartNotebookInstanceInput) SetNotebookInstanceName 

func (s *StartNotebookInstanceInput) SetNotebookInstanceName(v string) *StartNotebookInstanceInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StartNotebookInstanceOutput

func (StartNotebookInstanceOutput) GoString 

func (s StartNotebookInstanceOutput) GoString() string

GoString returns the string representation

func (StartNotebookInstanceOutput) String 

func (s StartNotebookInstanceOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopNotebookInstanceInput

func (StopNotebookInstanceInput) GoString 

func (s StopNotebookInstanceInput) GoString() string

GoString returns the string representation

func (*StopNotebookInstanceInput) SetNotebookInstanceName 

func (s *StopNotebookInstanceInput) SetNotebookInstanceName(v string) *StopNotebookInstanceInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopNotebookInstanceOutput

func (StopNotebookInstanceOutput) GoString 

func (s StopNotebookInstanceOutput) GoString() string

GoString returns the string representation

func (StopNotebookInstanceOutput) String 

func (s StopNotebookInstanceOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTrainingJobRequest

func (StopTrainingJobInput) GoString 

func (s StopTrainingJobInput) GoString() string

GoString returns the string representation

func (*StopTrainingJobInput) SetTrainingJobName 

func (s *StopTrainingJobInput) SetTrainingJobName(v string) *StopTrainingJobInput

SetTrainingJobName sets the TrainingJobName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTrainingJobOutput

func (StopTrainingJobOutput) GoString 

func (s StopTrainingJobOutput) GoString() string

GoString returns the string representation

func (StopTrainingJobOutput) String 

func (s StopTrainingJobOutput) String() string

String returns the string representation

type StoppingCondition 

type StoppingCondition struct {

	// The maximum length of time, in seconds, that the training job can run. If
	// model training does not complete during this time, Amazon SageMaker ends
	// the job. If value is not specified, default value is 1 day. Maximum value
	// is 5 days.
	MaxRuntimeInSeconds *int64 `min:"1" type:"integer"`
	// contains filtered or unexported fields
}

Specifies how long model training can run. When model training reaches the limit, Amazon SageMaker ends the training job. Use this API to cap model training cost.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of training is not lost.

Training algorithms provided by Amazon SageMaker automatically saves the intermediate results of a model training job (it is best effort case, as model might not be ready to save as some stages, for example training just started). This intermediate data is a valid model artifact. You can use it to create a model (CreateModel). See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StoppingCondition

func (StoppingCondition) GoString 

func (s StoppingCondition) GoString() string

GoString returns the string representation

func (*StoppingCondition) SetMaxRuntimeInSeconds 

func (s *StoppingCondition) SetMaxRuntimeInSeconds(v int64) *StoppingCondition

SetMaxRuntimeInSeconds sets the MaxRuntimeInSeconds field's value.

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 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. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/Tag

func (Tag) GoString 

func (s Tag) GoString() string

GoString returns the string representation

func (*Tag) SetKey 

func (s *Tag) SetKey(v string) *Tag

SetKey sets the Key field's value.

func (*Tag) SetValue 

func (s *Tag) SetValue(v string) *Tag

SetValue sets the Value field's value.

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 TrainingJobSummary 

type TrainingJobSummary struct {

	// A timestamp that shows when the training job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" timestampFormat:"unix" required:"true"`

	// Timestamp when the training job was last modified.
	LastModifiedTime *time.Time `type:"timestamp" timestampFormat:"unix"`

	// 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" timestampFormat:"unix"`

	// 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 *string `type:"string" required:"true" enum:"TrainingJobStatus"`
	// contains filtered or unexported fields
}

Provides summary information about a training job. See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/TrainingJobSummary

func (TrainingJobSummary) GoString 

func (s TrainingJobSummary) GoString() string

GoString returns the string representation

func (*TrainingJobSummary) SetCreationTime 

func (s *TrainingJobSummary) SetCreationTime(v time.Time) *TrainingJobSummary

SetCreationTime sets the CreationTime field's value.

func (*TrainingJobSummary) SetLastModifiedTime 

func (s *TrainingJobSummary) SetLastModifiedTime(v time.Time) *TrainingJobSummary

SetLastModifiedTime sets the LastModifiedTime field's value.

func (*TrainingJobSummary) SetTrainingEndTime 

func (s *TrainingJobSummary) SetTrainingEndTime(v time.Time) *TrainingJobSummary

SetTrainingEndTime sets the TrainingEndTime field's value.

func (*TrainingJobSummary) SetTrainingJobArn 

func (s *TrainingJobSummary) SetTrainingJobArn(v string) *TrainingJobSummary

SetTrainingJobArn sets the TrainingJobArn field's value.

func (*TrainingJobSummary) SetTrainingJobName 

func (s *TrainingJobSummary) SetTrainingJobName(v string) *TrainingJobSummary

SetTrainingJobName sets the TrainingJobName field's value.

func (*TrainingJobSummary) SetTrainingJobStatus 

func (s *TrainingJobSummary) SetTrainingJobStatus(v string) *TrainingJobSummary

SetTrainingJobStatus sets the TrainingJobStatus field's value.

func (TrainingJobSummary) String 

func (s TrainingJobSummary) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpointInput

func (UpdateEndpointInput) GoString 

func (s UpdateEndpointInput) GoString() string

GoString returns the string representation

func (*UpdateEndpointInput) SetEndpointConfigName 

func (s *UpdateEndpointInput) SetEndpointConfigName(v string) *UpdateEndpointInput

SetEndpointConfigName sets the EndpointConfigName field's value.

func (*UpdateEndpointInput) SetEndpointName 

func (s *UpdateEndpointInput) SetEndpointName(v string) *UpdateEndpointInput

SetEndpointName sets the EndpointName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpointOutput

func (UpdateEndpointOutput) GoString 

func (s UpdateEndpointOutput) GoString() string

GoString returns the string representation

func (*UpdateEndpointOutput) SetEndpointArn 

func (s *UpdateEndpointOutput) SetEndpointArn(v string) *UpdateEndpointOutput

SetEndpointArn sets the EndpointArn field's value.

func (UpdateEndpointOutput) String 

func (s UpdateEndpointOutput) String() string

String returns the string representation

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpointWeightsAndCapacitiesInput

func (UpdateEndpointWeightsAndCapacitiesInput) GoString 

func (s UpdateEndpointWeightsAndCapacitiesInput) GoString() string

GoString returns the string representation

func (*UpdateEndpointWeightsAndCapacitiesInput) SetDesiredWeightsAndCapacities 

func (s *UpdateEndpointWeightsAndCapacitiesInput) SetDesiredWeightsAndCapacities(v []*DesiredWeightAndCapacity) *UpdateEndpointWeightsAndCapacitiesInput

SetDesiredWeightsAndCapacities sets the DesiredWeightsAndCapacities field's value.

func (*UpdateEndpointWeightsAndCapacitiesInput) SetEndpointName 

func (s *UpdateEndpointWeightsAndCapacitiesInput) SetEndpointName(v string) *UpdateEndpointWeightsAndCapacitiesInput

SetEndpointName sets the EndpointName field's value.

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
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateEndpointWeightsAndCapacitiesOutput

func (UpdateEndpointWeightsAndCapacitiesOutput) GoString 

func (s UpdateEndpointWeightsAndCapacitiesOutput) GoString() string

GoString returns the string representation

func (*UpdateEndpointWeightsAndCapacitiesOutput) SetEndpointArn 

func (s *UpdateEndpointWeightsAndCapacitiesOutput) SetEndpointArn(v string) *UpdateEndpointWeightsAndCapacitiesOutput

SetEndpointArn sets the EndpointArn field's value.

func (UpdateEndpointWeightsAndCapacitiesOutput) String 

func (s UpdateEndpointWeightsAndCapacitiesOutput) String() string

String returns the string representation

type UpdateNotebookInstanceInput 

type UpdateNotebookInstanceInput struct {

	// The Amazon ML compute instance type.
	InstanceType *string `type:"string" enum:"InstanceType"`

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

	// Amazon Resource Name (ARN) of the IAM role to associate with the instance.
	RoleArn *string `min:"20" type:"string"`
	// contains filtered or unexported fields
}

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateNotebookInstanceInput

func (UpdateNotebookInstanceInput) GoString 

func (s UpdateNotebookInstanceInput) GoString() string

GoString returns the string representation

func (*UpdateNotebookInstanceInput) SetInstanceType 

func (s *UpdateNotebookInstanceInput) SetInstanceType(v string) *UpdateNotebookInstanceInput

SetInstanceType sets the InstanceType field's value.

func (*UpdateNotebookInstanceInput) SetNotebookInstanceName 

func (s *UpdateNotebookInstanceInput) SetNotebookInstanceName(v string) *UpdateNotebookInstanceInput

SetNotebookInstanceName sets the NotebookInstanceName field's value.

func (*UpdateNotebookInstanceInput) SetRoleArn 

func (s *UpdateNotebookInstanceInput) SetRoleArn(v string) *UpdateNotebookInstanceInput

SetRoleArn sets the RoleArn field's value.

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 UpdateNotebookInstanceOutput 

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

See also, https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/UpdateNotebookInstanceOutput

func (UpdateNotebookInstanceOutput) GoString 

func (s UpdateNotebookInstanceOutput) GoString() string

GoString returns the string representation

func (UpdateNotebookInstanceOutput) String 

func (s UpdateNotebookInstanceOutput) 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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