types

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 Go to latest Published: Aug 27, 2021 License: Apache-2.0 Imports: 4 Imported by: 0

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Types

type AccessDeniedException 

type AccessDeniedException struct {
	Message *string
	// contains filtered or unexported fields
}

The request could not be completed because you do not have access to the resource.

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 ConflictException 

type ConflictException struct {
	Message *string
	// contains filtered or unexported fields
}

The request could not be completed due to a conflict with the current state of the target resource.

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 DataIngestionJobSummary 

type DataIngestionJobSummary struct {

	// The Amazon Resource Name (ARN) of the dataset used in the data ingestion job.
	DatasetArn *string

	// The name of the dataset used for the data ingestion job.
	DatasetName *string

	// Specifies information for the input data for the data inference job, including
	// data S3 location parameters.
	IngestionInputConfiguration *IngestionInputConfiguration

	// Indicates the job ID of the data ingestion job.
	JobId *string

	// Indicates the status of the data ingestion job.
	Status IngestionJobStatus
	// contains filtered or unexported fields
}

Provides information about a specified data ingestion job, including dataset information, data ingestion configuration, and status.

type DataPreProcessingConfiguration 

type DataPreProcessingConfiguration struct {

	// The sampling rate of the data after post processing by Amazon Lookout for
	// Equipment. For example, if you provide data that has been collected at a 1
	// second level and you want the system to resample the data at a 1 minute rate
	// before training, the TargetSamplingRate is 1 minute. When providing a value for
	// the TargetSamplingRate, you must attach the prefix "PT" to the rate you want.
	// The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate
	// is PT15M, and the value for a 1 hour rate is PT1H
	TargetSamplingRate TargetSamplingRate
	// contains filtered or unexported fields
}

The configuration is the TargetSamplingRate, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the TargetSamplingRate is 1 minute. When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H

type DataUploadFrequency 

type DataUploadFrequency string
const (
	DataUploadFrequencyPt5m  DataUploadFrequency = "PT5M"
	DataUploadFrequencyPt10m DataUploadFrequency = "PT10M"
	DataUploadFrequencyPt15m DataUploadFrequency = "PT15M"
	DataUploadFrequencyPt30m DataUploadFrequency = "PT30M"
	DataUploadFrequencyPt1h  DataUploadFrequency = "PT1H"
)

Enum values for DataUploadFrequency

func (DataUploadFrequency) Values 

func (DataUploadFrequency) Values() []DataUploadFrequency

Values returns all known values for DataUploadFrequency. 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 DatasetSchema 

type DatasetSchema struct {

	//
	//
	// This value conforms to the media type: application/json
	InlineDataSchema *string
	// contains filtered or unexported fields
}

Provides information about the data schema used with the given dataset.

type DatasetStatus 

type DatasetStatus string
const (
	DatasetStatusCreated             DatasetStatus = "CREATED"
	DatasetStatusIngestionInProgress DatasetStatus = "INGESTION_IN_PROGRESS"
	DatasetStatusActive              DatasetStatus = "ACTIVE"
)

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 DatasetSummary 

type DatasetSummary struct {

	// The time at which the dataset was created in Amazon Lookout for Equipment.
	CreatedAt *time.Time

	// The Amazon Resource Name (ARN) of the specified dataset.
	DatasetArn *string

	// The name of the dataset.
	DatasetName *string

	// Indicates the status of the dataset.
	Status DatasetStatus
	// contains filtered or unexported fields
}

Contains information about the specific data set, including name, ARN, and status.

type InferenceExecutionStatus 

type InferenceExecutionStatus string
const (
	InferenceExecutionStatusInProgress InferenceExecutionStatus = "IN_PROGRESS"
	InferenceExecutionStatusSuccess    InferenceExecutionStatus = "SUCCESS"
	InferenceExecutionStatusFailed     InferenceExecutionStatus = "FAILED"
)

Enum values for InferenceExecutionStatus

func (InferenceExecutionStatus) Values 

func (InferenceExecutionStatus) Values() []InferenceExecutionStatus

Values returns all known values for InferenceExecutionStatus. 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 InferenceExecutionSummary 

type InferenceExecutionSummary struct {

	//
	CustomerResultObject *S3Object

	// Indicates the time reference in the dataset at which the inference execution
	// stopped.
	DataEndTime *time.Time

	// Specifies configuration information for the input data for the inference
	// scheduler, including delimiter, format, and dataset location.
	DataInputConfiguration *InferenceInputConfiguration

	// Specifies configuration information for the output results from for the
	// inference execution, including the output S3 location.
	DataOutputConfiguration *InferenceOutputConfiguration

	// Indicates the time reference in the dataset at which the inference execution
	// began.
	DataStartTime *time.Time

	// Specifies the reason for failure when an inference execution has failed.
	FailedReason *string

	// The Amazon Resource Name (ARN) of the inference scheduler being used for the
	// inference execution.
	InferenceSchedulerArn *string

	// The name of the inference scheduler being used for the inference execution.
	InferenceSchedulerName *string

	// The Amazon Resource Name (ARN) of the ML model used for the inference execution.
	ModelArn *string

	// The name of the ML model being used for the inference execution.
	ModelName *string

	// Indicates the start time at which the inference scheduler began the specific
	// inference execution.
	ScheduledStartTime *time.Time

	// Indicates the status of the inference execution.
	Status InferenceExecutionStatus
	// contains filtered or unexported fields
}

Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.

type InferenceInputConfiguration 

type InferenceInputConfiguration struct {

	// > Specifies configuration information for the input data for the inference,
	// including timestamp format and delimiter.
	InferenceInputNameConfiguration *InferenceInputNameConfiguration

	// Indicates the difference between your time zone and Greenwich Mean Time (GMT).
	InputTimeZoneOffset *string

	// Specifies configuration information for the input data for the inference,
	// including S3 location of input data..
	S3InputConfiguration *InferenceS3InputConfiguration
	// contains filtered or unexported fields
}

> Specifies configuration information for the input data for the inference, including S3 location of input data..

type InferenceInputNameConfiguration 

type InferenceInputNameConfiguration struct {

	// Indicates the delimiter character used between items in the data.
	ComponentTimestampDelimiter *string

	// The format of the timestamp, whether Epoch time, or standard, with or without
	// hyphens (-).
	TimestampFormat *string
	// contains filtered or unexported fields
}

>> Specifies configuration information for the input data for the inference, including timestamp format and delimiter.

type InferenceOutputConfiguration 

type InferenceOutputConfiguration struct {

	// Specifies configuration information for the output results from for the
	// inference, output S3 location.
	//
	// This member is required.
	S3OutputConfiguration *InferenceS3OutputConfiguration

	// The ID number for the AWS KMS key used to encrypt the inference output.
	KmsKeyId *string
	// contains filtered or unexported fields
}

Specifies configuration information for the output results from for the inference, including KMS key ID and output S3 location.

type InferenceS3InputConfiguration 

type InferenceS3InputConfiguration struct {

	// The bucket containing the input dataset for the inference.
	//
	// This member is required.
	Bucket *string

	// The prefix for the S3 bucket used for the input data for the inference.
	Prefix *string
	// contains filtered or unexported fields
}

Specifies configuration information for the input data for the inference, including input data S3 location.

type InferenceS3OutputConfiguration 

type InferenceS3OutputConfiguration struct {

	// The bucket containing the output results from the inference
	//
	// This member is required.
	Bucket *string

	// The prefix for the S3 bucket used for the output results from the inference.
	Prefix *string
	// contains filtered or unexported fields
}

Specifies configuration information for the output results from the inference, including output S3 location.

type InferenceSchedulerStatus 

type InferenceSchedulerStatus string
const (
	InferenceSchedulerStatusPending  InferenceSchedulerStatus = "PENDING"
	InferenceSchedulerStatusRunning  InferenceSchedulerStatus = "RUNNING"
	InferenceSchedulerStatusStopping InferenceSchedulerStatus = "STOPPING"
	InferenceSchedulerStatusStopped  InferenceSchedulerStatus = "STOPPED"
)

Enum values for InferenceSchedulerStatus

func (InferenceSchedulerStatus) Values 

func (InferenceSchedulerStatus) Values() []InferenceSchedulerStatus

Values returns all known values for InferenceSchedulerStatus. 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 InferenceSchedulerSummary 

type InferenceSchedulerSummary struct {

	// > A period of time (in minutes) by which inference on the data is delayed after
	// the data starts. For instance, if an offset delay time of five minutes was
	// selected, inference will not begin on the data until the first data measurement
	// after the five minute mark. For example, if five minutes is selected, the
	// inference scheduler will wake up at the configured frequency with the additional
	// five minute delay time to check the customer S3 bucket. The customer can upload
	// data at the same frequency and they don't need to stop and restart the scheduler
	// when uploading new data.
	DataDelayOffsetInMinutes *int64

	// How often data is uploaded to the source S3 bucket for the input data. This
	// value is the length of time between data uploads. For instance, if you select 5
	// minutes, Amazon Lookout for Equipment will upload the real-time data to the
	// source bucket once every 5 minutes. This frequency also determines how often
	// Amazon Lookout for Equipment starts a scheduled inference on your data. In this
	// example, it starts once every 5 minutes.
	DataUploadFrequency DataUploadFrequency

	// The Amazon Resource Name (ARN) of the inference scheduler.
	InferenceSchedulerArn *string

	// The name of the inference scheduler.
	InferenceSchedulerName *string

	// The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.
	ModelArn *string

	// The name of the ML model used for the inference scheduler.
	ModelName *string

	// Indicates the status of the inference scheduler.
	Status InferenceSchedulerStatus
	// contains filtered or unexported fields
}

Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.

type IngestionInputConfiguration 

type IngestionInputConfiguration struct {

	// The location information for the S3 bucket used for input data for the data
	// ingestion.
	//
	// This member is required.
	S3InputConfiguration *IngestionS3InputConfiguration
	// contains filtered or unexported fields
}

Specifies configuration information for the input data for the data ingestion job, including input data S3 location.

type IngestionJobStatus 

type IngestionJobStatus string
const (
	IngestionJobStatusInProgress IngestionJobStatus = "IN_PROGRESS"
	IngestionJobStatusSuccess    IngestionJobStatus = "SUCCESS"
	IngestionJobStatusFailed     IngestionJobStatus = "FAILED"
)

Enum values for IngestionJobStatus

func (IngestionJobStatus) Values 

func (IngestionJobStatus) Values() []IngestionJobStatus

Values returns all known values for IngestionJobStatus. 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 IngestionS3InputConfiguration 

type IngestionS3InputConfiguration struct {

	// The name of the S3 bucket used for the input data for the data ingestion.
	//
	// This member is required.
	Bucket *string

	// The prefix for the S3 location being used for the input data for the data
	// ingestion.
	Prefix *string
	// contains filtered or unexported fields
}

Specifies S3 configuration information for the input data for the data ingestion job.

type InternalServerException 

type InternalServerException struct {
	Message *string
	// contains filtered or unexported fields
}

Processing of the request has failed because of an unknown error, exception or failure.

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 LabelsInputConfiguration 

type LabelsInputConfiguration struct {

	// Contains location information for the S3 location being used for label data.
	//
	// This member is required.
	S3InputConfiguration *LabelsS3InputConfiguration
	// contains filtered or unexported fields
}

Contains the configuration information for the S3 location being used to hold label data.

type LabelsS3InputConfiguration 

type LabelsS3InputConfiguration struct {

	// The name of the S3 bucket holding the label data.
	//
	// This member is required.
	Bucket *string

	// The prefix for the S3 bucket used for the label data.
	Prefix *string
	// contains filtered or unexported fields
}

The location information (prefix and bucket name) for the s3 location being used for label data.

type ModelStatus 

type ModelStatus string
const (
	ModelStatusInProgress ModelStatus = "IN_PROGRESS"
	ModelStatusSuccess    ModelStatus = "SUCCESS"
	ModelStatusFailed     ModelStatus = "FAILED"
)

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 ModelSummary 

type ModelSummary struct {

	// The time at which the specific model was created.
	CreatedAt *time.Time

	// The Amazon Resource Name (ARN) of the dataset used to create the model.
	DatasetArn *string

	// The name of the dataset being used for the ML model.
	DatasetName *string

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

	// The name of the ML model.
	ModelName *string

	// Indicates the status of the ML model.
	Status ModelStatus
	// contains filtered or unexported fields
}

Provides information about the specified ML model, including dataset and model names and ARNs, as well as status.

type ResourceNotFoundException 

type ResourceNotFoundException struct {
	Message *string
	// contains filtered or unexported fields
}

The resource requested could not be found. Verify the resource ID and retry your request.

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 S3Object 

type S3Object struct {

	// The name of the specific S3 bucket.
	//
	// This member is required.
	Bucket *string

	// The AWS Key Management Service (AWS KMS) key being used to encrypt the S3
	// object. Without this key, data in the bucket is not accessible.
	//
	// This member is required.
	Key *string
	// contains filtered or unexported fields
}

Contains information about an S3 bucket.

type ServiceQuotaExceededException 

type ServiceQuotaExceededException struct {
	Message *string
	// contains filtered or unexported fields
}

Resource limitations have been exceeded.

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 

type Tag struct {

	// The key for the specified tag.
	//
	// This member is required.
	Key *string

	// The value for the specified tag.
	//
	// This member is required.
	Value *string
	// contains filtered or unexported fields
}

A tag is a key-value pair that can be added to a resource as metadata.

type TargetSamplingRate 

type TargetSamplingRate string
const (
	TargetSamplingRatePt1s  TargetSamplingRate = "PT1S"
	TargetSamplingRatePt5s  TargetSamplingRate = "PT5S"
	TargetSamplingRatePt10s TargetSamplingRate = "PT10S"
	TargetSamplingRatePt15s TargetSamplingRate = "PT15S"
	TargetSamplingRatePt30s TargetSamplingRate = "PT30S"
	TargetSamplingRatePt1m  TargetSamplingRate = "PT1M"
	TargetSamplingRatePt5m  TargetSamplingRate = "PT5M"
	TargetSamplingRatePt10m TargetSamplingRate = "PT10M"
	TargetSamplingRatePt15m TargetSamplingRate = "PT15M"
	TargetSamplingRatePt30m TargetSamplingRate = "PT30M"
	TargetSamplingRatePt1h  TargetSamplingRate = "PT1H"
)

Enum values for TargetSamplingRate

func (TargetSamplingRate) Values 

func (TargetSamplingRate) Values() []TargetSamplingRate

Values returns all known values for TargetSamplingRate. 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
	// contains filtered or unexported fields
}

The request was denied due to request throttling.

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
	// contains filtered or unexported fields
}

The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.

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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