types

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Types

type AccessDeniedException 

type AccessDeniedException struct {
	Message *string

	ErrorCodeOverride *string
	// contains filtered or unexported fields
}

You are not authorized to perform the action.

func (*AccessDeniedException) Error 

func (e *AccessDeniedException) Error() string

func (*AccessDeniedException) ErrorCode 

func (e *AccessDeniedException) ErrorCode() string

func (*AccessDeniedException) ErrorFault 

func (e *AccessDeniedException) ErrorFault() smithy.ErrorFault

func (*AccessDeniedException) ErrorMessage 

func (e *AccessDeniedException) ErrorMessage() string

type Anomaly added in v1.14.0 

type Anomaly struct {

	// The name of an anomaly type found in an image. Name maps to an anomaly type in
	// the training dataset, apart from the anomaly type background . The service
	// automatically inserts the background anomaly type into the response from
	// DetectAnomalies .
	Name *string

	// Information about the pixel mask that covers an anomaly type.
	PixelAnomaly *PixelAnomaly
	// contains filtered or unexported fields
}

Information about an anomaly type found on an image by an image segmentation model. For more information, see DetectAnomalies.

type ConflictException 

type ConflictException struct {
	Message *string

	ErrorCodeOverride *string

	ResourceId   *string
	ResourceType ResourceType
	// contains filtered or unexported fields
}

The update or deletion of a resource caused an inconsistent state.

func (*ConflictException) Error 

func (e *ConflictException) Error() string

func (*ConflictException) ErrorCode 

func (e *ConflictException) ErrorCode() string

func (*ConflictException) ErrorFault 

func (e *ConflictException) ErrorFault() smithy.ErrorFault

func (*ConflictException) ErrorMessage 

func (e *ConflictException) ErrorMessage() string

type DatasetDescription 

type DatasetDescription struct {

	// The Unix timestamp for the time and date that the dataset was created.
	CreationTimestamp *time.Time

	// The type of the dataset. The value train represents a training dataset or
	// single dataset project. The value test represents a test dataset.
	DatasetType *string

	// Statistics about the images in a dataset.
	ImageStats *DatasetImageStats

	// The Unix timestamp for the date and time that the dataset was last updated.
	LastUpdatedTimestamp *time.Time

	// The name of the project that contains the dataset.
	ProjectName *string

	// The status of the dataset.
	Status DatasetStatus

	// The status message for the dataset.
	StatusMessage *string
	// contains filtered or unexported fields
}

The description for a dataset. For more information, see DescribeDataset.

type DatasetGroundTruthManifest 

type DatasetGroundTruthManifest struct {

	// The S3 bucket location for the manifest file.
	S3Object *InputS3Object
	// contains filtered or unexported fields
}

Location information about a manifest file. You can use a manifest file to create a dataset.

type DatasetImageStats 

type DatasetImageStats struct {

	// the total number of images labeled as an anomaly.
	Anomaly *int32

	// The total number of labeled images.
	Labeled *int32

	// The total number of images labeled as normal.
	Normal *int32

	// The total number of images in the dataset.
	Total *int32
	// contains filtered or unexported fields
}

Statistics about the images in a dataset.

type DatasetMetadata 

type DatasetMetadata struct {

	// The Unix timestamp for the date and time that the dataset was created.
	CreationTimestamp *time.Time

	// The type of the dataset.
	DatasetType *string

	// The status for the dataset.
	Status DatasetStatus

	// The status message for the dataset.
	StatusMessage *string
	// contains filtered or unexported fields
}

Summary information for an Amazon Lookout for Vision dataset. For more information, see DescribeDatasetand ProjectDescription.

type DatasetSource 

type DatasetSource struct {

	// Location information for the manifest file.
	GroundTruthManifest *DatasetGroundTruthManifest
	// contains filtered or unexported fields
}

Information about the location of a manifest file that Amazon Lookout for Vision uses to to create a dataset.

type DatasetStatus 

type DatasetStatus string
const (
	DatasetStatusCreateInProgress               DatasetStatus = "CREATE_IN_PROGRESS"
	DatasetStatusCreateComplete                 DatasetStatus = "CREATE_COMPLETE"
	DatasetStatusCreateFailed                   DatasetStatus = "CREATE_FAILED"
	DatasetStatusUpdateInProgress               DatasetStatus = "UPDATE_IN_PROGRESS"
	DatasetStatusUpdateComplete                 DatasetStatus = "UPDATE_COMPLETE"
	DatasetStatusUpdateFailedRollbackInProgress DatasetStatus = "UPDATE_FAILED_ROLLBACK_IN_PROGRESS"
	DatasetStatusUpdateFailedRollbackComplete   DatasetStatus = "UPDATE_FAILED_ROLLBACK_COMPLETE"
	DatasetStatusDeleteInProgress               DatasetStatus = "DELETE_IN_PROGRESS"
	DatasetStatusDeleteComplete                 DatasetStatus = "DELETE_COMPLETE"
	DatasetStatusDeleteFailed                   DatasetStatus = "DELETE_FAILED"
)

Enum values for DatasetStatus

func (DatasetStatus) Values 

func (DatasetStatus) Values() []DatasetStatus

Values returns all known values for DatasetStatus. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type DetectAnomalyResult 

type DetectAnomalyResult struct {

	// If the model is an image segmentation model, Anomalies contains a list of
	// anomaly types found in the image. There is one entry for each type of anomaly
	// found (even if multiple instances of an anomaly type exist on the image). The
	// first element in the list is always an anomaly type representing the image
	// background ('background') and shouldn't be considered an anomaly. Amazon Lookout
	// for Vision automatically add the background anomaly type to the response, and
	// you don't need to declare a background anomaly type in your dataset.
	//
	// If the list has one entry ('background'), no anomalies were found on the image.
	//
	// An image classification model doesn't return an Anomalies list.
	Anomalies []Anomaly

	// If the model is an image segmentation model, AnomalyMask contains pixel masks
	// that covers all anomaly types found on the image.
	//
	// Each anomaly type has a different mask color. To map a color to an anomaly
	// type, see the color field of the PixelAnomaly object.
	//
	// An image classification model doesn't return an Anomalies list.
	AnomalyMask []byte

	// The confidence that Lookout for Vision has in the accuracy of the
	// classification in IsAnomalous .
	Confidence *float32

	// True if Amazon Lookout for Vision classifies the image as containing an
	// anomaly, otherwise false.
	IsAnomalous *bool

	// The source of the image that was analyzed. direct means that the images was
	// supplied from the local computer. No other values are supported.
	Source *ImageSource
	// contains filtered or unexported fields
}

The prediction results from a call to DetectAnomalies. DetectAnomalyResult includes classification information for the prediction ( IsAnomalous and Confidence ). If the model you use is an image segementation model, DetectAnomalyResult also includes segmentation information ( Anomalies and AnomalyMask ). Classification information is calculated separately from segmentation information and you shouldn't assume a relationship between them.

type GreengrassConfiguration added in v1.8.0 

type GreengrassConfiguration struct {

	//  A name for the AWS IoT Greengrass component.
	//
	// This member is required.
	ComponentName *string

	//  An S3 location in which Lookout for Vision stores the component artifacts.
	//
	// This member is required.
	S3OutputLocation *S3Location

	// Additional compiler options for the Greengrass component. Currently, only
	// NVIDIA Graphics Processing Units (GPU) and CPU accelerators are supported. If
	// you specify TargetDevice , don't specify CompilerOptions .
	//
	// For more information, see Compiler options in the Amazon Lookout for Vision
	// Developer Guide.
	CompilerOptions *string

	//  A description for the AWS IoT Greengrass component.
	ComponentDescription *string

	// A Version for the AWS IoT Greengrass component. If you don't provide a value, a
	// default value of Model Version.0.0 is used.
	ComponentVersion *string

	//  A set of tags (key-value pairs) that you want to attach to the AWS IoT
	// Greengrass component.
	Tags []Tag

	// The target device for the model. Currently the only supported value is
	// jetson_xavier . If you specify TargetDevice , you can't specify TargetPlatform .
	TargetDevice TargetDevice

	// The target platform for the model. If you specify TargetPlatform , you can't
	// specify TargetDevice .
	TargetPlatform *TargetPlatform
	// contains filtered or unexported fields
}

Configuration information for the AWS IoT Greengrass component created in a model packaging job. For more information, see StartModelPackagingJob.

You can't specify a component with the same ComponentName and Componentversion as an existing component with the same component name and component version.

type GreengrassOutputDetails added in v1.8.0 

type GreengrassOutputDetails struct {

	//  The name of the component.
	ComponentName *string

	//  The version of the component.
	ComponentVersion *string

	//  The Amazon Resource Name (ARN) of the component.
	ComponentVersionArn *string
	// contains filtered or unexported fields
}

Information about the AWS IoT Greengrass component created by a model packaging job.

type ImageSource 

type ImageSource struct {

	// The type of the image.
	Type *string
	// contains filtered or unexported fields
}

The source for an image.

type InputS3Object 

type InputS3Object struct {

	// The Amazon S3 bucket that contains the manifest.
	//
	// This member is required.
	Bucket *string

	// The name and location of the manifest file withiin the bucket.
	//
	// This member is required.
	Key *string

	// The version ID of the bucket.
	VersionId *string
	// contains filtered or unexported fields
}

Amazon S3 Location information for an input manifest file.

type InternalServerException 

type InternalServerException struct {
	Message *string

	ErrorCodeOverride *string

	RetryAfterSeconds *int32
	// contains filtered or unexported fields
}

Amazon Lookout for Vision experienced a service issue. Try your call again.

func (*InternalServerException) Error 

func (e *InternalServerException) Error() string

func (*InternalServerException) ErrorCode 

func (e *InternalServerException) ErrorCode() string

func (*InternalServerException) ErrorFault 

func (e *InternalServerException) ErrorFault() smithy.ErrorFault

func (*InternalServerException) ErrorMessage 

func (e *InternalServerException) ErrorMessage() string

type ModelDescription 

type ModelDescription struct {

	// The unix timestamp for the date and time that the model was created.
	CreationTimestamp *time.Time

	// The description for the model.
	Description *string

	// The unix timestamp for the date and time that the evaluation ended.
	EvaluationEndTimestamp *time.Time

	// The S3 location where Amazon Lookout for Vision saves the manifest file that
	// was used to test the trained model and generate the performance scores.
	EvaluationManifest *OutputS3Object

	// The S3 location where Amazon Lookout for Vision saves the performance metrics.
	EvaluationResult *OutputS3Object

	// The identifer for the AWS Key Management Service (AWS KMS) key that was used to
	// encrypt the model during training.
	KmsKeyId *string

	// The maximum number of inference units Amazon Lookout for Vision uses to
	// auto-scale the model. For more information, see StartModel.
	MaxInferenceUnits *int32

	// The minimum number of inference units used by the model. For more information,
	// see StartModel
	MinInferenceUnits *int32

	// The Amazon Resource Name (ARN) of the model.
	ModelArn *string

	// The version of the model
	ModelVersion *string

	// The S3 location where Amazon Lookout for Vision saves model training files.
	OutputConfig *OutputConfig

	// Performance metrics for the model. Created during training.
	Performance *ModelPerformance

	// The status of the model.
	Status ModelStatus

	// The status message for the model.
	StatusMessage *string
	// contains filtered or unexported fields
}

Describes an Amazon Lookout for Vision model.

type ModelHostingStatus 

type ModelHostingStatus string
const (
	ModelHostingStatusStartingHosting ModelHostingStatus = "STARTING_HOSTING"
	ModelHostingStatusHosted          ModelHostingStatus = "HOSTED"
	ModelHostingStatusHostingFailed   ModelHostingStatus = "HOSTING_FAILED"
	ModelHostingStatusStoppingHosting ModelHostingStatus = "STOPPING_HOSTING"
	ModelHostingStatusSystemUpdating  ModelHostingStatus = "SYSTEM_UPDATING"
)

Enum values for ModelHostingStatus

func (ModelHostingStatus) Values 

func (ModelHostingStatus) Values() []ModelHostingStatus

Values returns all known values for ModelHostingStatus. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type ModelMetadata 

type ModelMetadata struct {

	// The unix timestamp for the date and time that the model was created.
	CreationTimestamp *time.Time

	// The description for the model.
	Description *string

	// The Amazon Resource Name (ARN) of the model.
	ModelArn *string

	// The version of the model.
	ModelVersion *string

	// Performance metrics for the model. Not available until training has
	// successfully completed.
	Performance *ModelPerformance

	// The status of the model.
	Status ModelStatus

	// The status message for the model.
	StatusMessage *string
	// contains filtered or unexported fields
}

Describes an Amazon Lookout for Vision model.

type ModelPackagingConfiguration added in v1.8.0 

type ModelPackagingConfiguration struct {

	//  Configuration information for the AWS IoT Greengrass component in a model
	// packaging job.
	//
	// This member is required.
	Greengrass *GreengrassConfiguration
	// contains filtered or unexported fields
}
Configuration information for a Amazon Lookout for Vision model packaging job.

For more information, see StartModelPackagingJob.

type ModelPackagingDescription added in v1.8.0 

type ModelPackagingDescription struct {

	//  The Unix timestamp for the time and date that the model packaging job was
	// created.
	CreationTimestamp *time.Time

	//  The name of the model packaging job.
	JobName *string

	//  The Unix timestamp for the time and date that the model packaging job was last
	// updated.
	LastUpdatedTimestamp *time.Time

	//  The configuration information used in the model packaging job.
	ModelPackagingConfiguration *ModelPackagingConfiguration

	// The description for the model packaging job.
	ModelPackagingJobDescription *string

	// The AWS service used to package the job. Currently Lookout for Vision can
	// package jobs with AWS IoT Greengrass.
	ModelPackagingMethod *string

	// Information about the output of the model packaging job. For more information,
	// see DescribeModelPackagingJob.
	ModelPackagingOutputDetails *ModelPackagingOutputDetails

	// The version of the model used in the model packaging job.
	ModelVersion *string

	// The name of the project that's associated with a model that's in the model
	// package.
	ProjectName *string

	//  The status of the model packaging job.
	Status ModelPackagingJobStatus

	//  The status message for the model packaging job.
	StatusMessage *string
	// contains filtered or unexported fields
}

Information about a model packaging job. For more information, see DescribeModelPackagingJob.

type ModelPackagingJobMetadata added in v1.8.0 

type ModelPackagingJobMetadata struct {

	// The Unix timestamp for the time and date that the model packaging job was
	// created.
	CreationTimestamp *time.Time

	//  The name of the model packaging job.
	JobName *string

	// The Unix timestamp for the time and date that the model packaging job was last
	// updated.
	LastUpdatedTimestamp *time.Time

	//  The description for the model packaging job.
	ModelPackagingJobDescription *string

	//  The AWS service used to package the job. Currently Lookout for Vision can
	// package jobs with AWS IoT Greengrass.
	ModelPackagingMethod *string

	//  The version of the model that is in the model package.
	ModelVersion *string

	//  The project that contains the model that is in the model package.
	ProjectName *string

	// The status of the model packaging job.
	Status ModelPackagingJobStatus

	// The status message for the model packaging job.
	StatusMessage *string
	// contains filtered or unexported fields
}

Metadata for a model packaging job. For more information, see ListModelPackagingJobs.

type ModelPackagingJobStatus added in v1.8.0 

type ModelPackagingJobStatus string
const (
	ModelPackagingJobStatusCreated   ModelPackagingJobStatus = "CREATED"
	ModelPackagingJobStatusRunning   ModelPackagingJobStatus = "RUNNING"
	ModelPackagingJobStatusSucceeded ModelPackagingJobStatus = "SUCCEEDED"
	ModelPackagingJobStatusFailed    ModelPackagingJobStatus = "FAILED"
)

Enum values for ModelPackagingJobStatus

func (ModelPackagingJobStatus) Values added in v1.8.0 

func (ModelPackagingJobStatus) Values() []ModelPackagingJobStatus

Values returns all known values for ModelPackagingJobStatus. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type ModelPackagingOutputDetails added in v1.8.0 

type ModelPackagingOutputDetails struct {

	//  Information about the AWS IoT Greengrass component in a model packaging job.
	Greengrass *GreengrassOutputDetails
	// contains filtered or unexported fields
}

Information about the output from a model packaging job.

type ModelPerformance 

type ModelPerformance struct {

	// The overall F1 score metric for the trained model.
	F1Score *float32

	// The overall precision metric value for the trained model.
	Precision *float32

	// The overall recall metric value for the trained model.
	Recall *float32
	// contains filtered or unexported fields
}

Information about the evaluation performance of a trained model.

type ModelStatus 

type ModelStatus string
const (
	ModelStatusTraining        ModelStatus = "TRAINING"
	ModelStatusTrained         ModelStatus = "TRAINED"
	ModelStatusTrainingFailed  ModelStatus = "TRAINING_FAILED"
	ModelStatusStartingHosting ModelStatus = "STARTING_HOSTING"
	ModelStatusHosted          ModelStatus = "HOSTED"
	ModelStatusHostingFailed   ModelStatus = "HOSTING_FAILED"
	ModelStatusStoppingHosting ModelStatus = "STOPPING_HOSTING"
	ModelStatusSystemUpdating  ModelStatus = "SYSTEM_UPDATING"
	ModelStatusDeleting        ModelStatus = "DELETING"
)

Enum values for ModelStatus

func (ModelStatus) Values 

func (ModelStatus) Values() []ModelStatus

Values returns all known values for ModelStatus. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type OutputConfig 

type OutputConfig struct {

	// The S3 location for the output.
	//
	// This member is required.
	S3Location *S3Location
	// contains filtered or unexported fields
}

The S3 location where Amazon Lookout for Vision saves model training files.

type OutputS3Object 

type OutputS3Object struct {

	// The bucket that contains the training output.
	//
	// This member is required.
	Bucket *string

	// The location of the training output in the bucket.
	//
	// This member is required.
	Key *string
	// contains filtered or unexported fields
}

The S3 location where Amazon Lookout for Vision saves training output.

type PixelAnomaly added in v1.14.0 

type PixelAnomaly struct {

	// A hex color value for the mask that covers an anomaly type. Each anomaly type
	// has a different mask color. The color maps to the color of the anomaly type used
	// in the training dataset.
	Color *string

	// The percentage area of the image that the anomaly type covers.
	TotalPercentageArea *float32
	// contains filtered or unexported fields
}

Information about the pixels in an anomaly mask. For more information, see Anomaly. PixelAnomaly is only returned by image segmentation models.

type ProjectDescription 

type ProjectDescription struct {

	// The unix timestamp for the date and time that the project was created.
	CreationTimestamp *time.Time

	// A list of datasets in the project.
	Datasets []DatasetMetadata

	// The Amazon Resource Name (ARN) of the project.
	ProjectArn *string

	// The name of the project.
	ProjectName *string
	// contains filtered or unexported fields
}

Describe an Amazon Lookout for Vision project. For more information, see DescribeProject.

type ProjectMetadata 

type ProjectMetadata struct {

	// The unix timestamp for the date and time that the project was created.
	CreationTimestamp *time.Time

	// The Amazon Resource Name (ARN) of the project.
	ProjectArn *string

	// The name of the project.
	ProjectName *string
	// contains filtered or unexported fields
}

Metadata about an Amazon Lookout for Vision project.

type ResourceNotFoundException 

type ResourceNotFoundException struct {
	Message *string

	ErrorCodeOverride *string

	ResourceId   *string
	ResourceType ResourceType
	// contains filtered or unexported fields
}

The resource could not be found.

func (*ResourceNotFoundException) Error 

func (e *ResourceNotFoundException) Error() string

func (*ResourceNotFoundException) ErrorCode 

func (e *ResourceNotFoundException) ErrorCode() string

func (*ResourceNotFoundException) ErrorFault 

func (e *ResourceNotFoundException) ErrorFault() smithy.ErrorFault

func (*ResourceNotFoundException) ErrorMessage 

func (e *ResourceNotFoundException) ErrorMessage() string

type ResourceType 

type ResourceType string
const (
	ResourceTypeProject         ResourceType = "PROJECT"
	ResourceTypeDataset         ResourceType = "DATASET"
	ResourceTypeModel           ResourceType = "MODEL"
	ResourceTypeTrial           ResourceType = "TRIAL"
	ResourceTypeModelPackageJob ResourceType = "MODEL_PACKAGE_JOB"
)

Enum values for ResourceType

func (ResourceType) Values 

func (ResourceType) Values() []ResourceType

Values returns all known values for ResourceType. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type S3Location 

type S3Location struct {

	// The S3 bucket that contains the training or model packaging job output. If you
	// are training a model, the bucket must in your AWS account. If you use an S3
	// bucket for a model packaging job, the S3 bucket must be in the same AWS Region
	// and AWS account in which you use AWS IoT Greengrass.
	//
	// This member is required.
	Bucket *string

	// The path of the folder, within the S3 bucket, that contains the output.
	Prefix *string
	// contains filtered or unexported fields
}

Information about the location of training output or the output of a model packaging job.

type ServiceQuotaExceededException 

type ServiceQuotaExceededException struct {
	Message *string

	ErrorCodeOverride *string

	ResourceId   *string
	ResourceType ResourceType
	QuotaCode    *string
	ServiceCode  *string
	// contains filtered or unexported fields
}

A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for Vision in the Amazon Lookout for Vision Developer Guide.

func (*ServiceQuotaExceededException) Error 

func (e *ServiceQuotaExceededException) Error() string

func (*ServiceQuotaExceededException) ErrorCode 

func (e *ServiceQuotaExceededException) ErrorCode() string

func (*ServiceQuotaExceededException) ErrorFault 

func (e *ServiceQuotaExceededException) ErrorFault() smithy.ErrorFault

func (*ServiceQuotaExceededException) ErrorMessage 

func (e *ServiceQuotaExceededException) ErrorMessage() string

type Tag added in v1.2.0 

type Tag struct {

	// The key of the tag that is attached to the specified model.
	//
	// This member is required.
	Key *string

	// The value of the tag that is attached to the specified model.
	//
	// This member is required.
	Value *string
	// contains filtered or unexported fields
}

A key and value pair that is attached to the specified Amazon Lookout for Vision model.

type TargetDevice added in v1.8.0 

type TargetDevice string
const (
	TargetDeviceJetsonXavier TargetDevice = "jetson_xavier"
)

Enum values for TargetDevice

func (TargetDevice) Values added in v1.8.0 

func (TargetDevice) Values() []TargetDevice

Values returns all known values for TargetDevice. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type TargetPlatform added in v1.8.0 

type TargetPlatform struct {

	// The target architecture for the model. The currently supported architectures
	// are X86_64 (64-bit version of the x86 instruction set) and ARM_64 (ARMv8 64-bit
	// CPU).
	//
	// This member is required.
	Arch TargetPlatformArch

	// The target operating system for the model. Linux is the only operating system
	// that is currently supported.
	//
	// This member is required.
	Os TargetPlatformOs

	// The target accelerator for the model. Currently, Amazon Lookout for Vision only
	// supports NVIDIA (Nvidia graphics processing unit) and CPU accelerators. If you
	// specify NVIDIA as an accelerator, you must also specify the gpu-code , trt-ver ,
	// and cuda-ver compiler options. If you don't specify an accelerator, Lookout for
	// Vision uses the CPU for compilation and we highly recommend that you use the GreengrassConfiguration$CompilerOptions
	// field. For example, you can use the following compiler options for CPU:
	//
	//   - mcpu : CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
	//
	//   - mattr : CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
	Accelerator TargetPlatformAccelerator
	// contains filtered or unexported fields
}

The platform on which a model runs on an AWS IoT Greengrass core device.

type TargetPlatformAccelerator added in v1.8.0 

type TargetPlatformAccelerator string
const (
	TargetPlatformAcceleratorNvidia TargetPlatformAccelerator = "NVIDIA"
)

Enum values for TargetPlatformAccelerator

func (TargetPlatformAccelerator) Values added in v1.8.0 

func (TargetPlatformAccelerator) Values() []TargetPlatformAccelerator

Values returns all known values for TargetPlatformAccelerator. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type TargetPlatformArch added in v1.8.0 

type TargetPlatformArch string
const (
	TargetPlatformArchArm64 TargetPlatformArch = "ARM64"
	TargetPlatformArchX8664 TargetPlatformArch = "X86_64"
)

Enum values for TargetPlatformArch

func (TargetPlatformArch) Values added in v1.8.0 

func (TargetPlatformArch) Values() []TargetPlatformArch

Values returns all known values for TargetPlatformArch. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type TargetPlatformOs added in v1.8.0 

type TargetPlatformOs string
const (
	TargetPlatformOsLinux TargetPlatformOs = "LINUX"
)

Enum values for TargetPlatformOs

func (TargetPlatformOs) Values added in v1.8.0 

func (TargetPlatformOs) Values() []TargetPlatformOs

Values returns all known values for TargetPlatformOs. Note that this can be expanded in the future, and so it is only as up to date as the client.

The ordering of this slice is not guaranteed to be stable across updates.

type ThrottlingException 

type ThrottlingException struct {
	Message *string

	ErrorCodeOverride *string

	QuotaCode         *string
	ServiceCode       *string
	RetryAfterSeconds *int32
	// contains filtered or unexported fields
}

Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.

func (*ThrottlingException) Error 

func (e *ThrottlingException) Error() string

func (*ThrottlingException) ErrorCode 

func (e *ThrottlingException) ErrorCode() string

func (*ThrottlingException) ErrorFault 

func (e *ThrottlingException) ErrorFault() smithy.ErrorFault

func (*ThrottlingException) ErrorMessage 

func (e *ThrottlingException) ErrorMessage() string

type ValidationException 

type ValidationException struct {
	Message *string

	ErrorCodeOverride *string
	// contains filtered or unexported fields
}

An input validation error occured. For example, invalid characters in a project name, or if a pagination token is invalid.

func (*ValidationException) Error 

func (e *ValidationException) Error() string

func (*ValidationException) ErrorCode 

func (e *ValidationException) ErrorCode() string

func (*ValidationException) ErrorFault 

func (e *ValidationException) ErrorFault() smithy.ErrorFault

func (*ValidationException) ErrorMessage 

func (e *ValidationException) ErrorMessage() string

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