HyperParameterTuningJobSummary - Amazon SageMaker (original) (raw)
Provides summary information about a hyperparameter tuning job.
Contents
CreationTime
The date and time that the tuning job was created.
Type: Timestamp
Required: Yes
HyperParameterTuningJobArn
The Amazon Resource Name (ARN) of the tuning job.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 256.
Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:hyper-parameter-tuning-job/.*
Required: Yes
HyperParameterTuningJobName
The name of the tuning job.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 32.
Pattern: [a-zA-Z0-9](-*[a-zA-Z0-9]){0,31}
Required: Yes
HyperParameterTuningJobStatus
The status of the tuning job.
Type: String
Valid Values: Completed | InProgress | Failed | Stopped | Stopping | Deleting | DeleteFailed
Required: Yes
ObjectiveStatusCounters
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
Type: ObjectiveStatusCounters object
Required: Yes
Strategy
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.
Type: String
Valid Values: Bayesian | Random | Hyperband | Grid
Required: Yes
TrainingJobStatusCounters
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
Type: TrainingJobStatusCounters object
Required: Yes
HyperParameterTuningEndTime
The date and time that the tuning job ended.
Type: Timestamp
Required: No
LastModifiedTime
The date and time that the tuning job was modified.
Type: Timestamp
Required: No
ResourceLimits
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
Type: ResourceLimits object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
HyperParameterTuningJobStrategyConfig
HyperParameterTuningJobWarmStartConfig
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