HyperParameterTuningJobState constructor

const HyperParameterTuningJobState({
  1. Input<String?>? arn,
  2. Input<HyperParameterTuningJobAutotune?>? autotune,
  3. Input<HyperParameterTuningJobConfig?>? config,
  4. Input<String?>? failureReason,
  5. Input<String?>? name,
  6. Input<String?>? region,
  7. Input<String?>? status,
  8. Input<Map<String, String>?>? tags,
  9. Input<Map<String, String>?>? tagsAll,
  10. Input<HyperParameterTuningJobTimeouts?>? timeouts,
  11. Input<HyperParameterTuningJobTrainingJobDefinition?>? trainingJobDefinition,
  12. Input<List<HyperParameterTuningJobTrainingJobDefinition>?>? trainingJobDefinitions,
  13. Input<HyperParameterTuningJobWarmStartConfig?>? warmStartConfig,
})

Creates a new HyperParameterTuningJobState. arn ARN of the Hyper Parameter Tuning Job. autotune Autotune settings. See autotune. config Tuning job settings. See config. failureReason Reason returned by SageMaker AI when a job fails. name Name of the tuning job. region Region where this resource will be managed. Defaults to the Region set in the provider configuration. status Current tuning job status. tags Map of tags to assign to this resource. tagsAll Map of tags assigned to the resource, including those inherited from the provider defaultTags configuration block. timeouts Optional. trainingJobDefinition Single training job definition for tuning. See trainingJobDefinition. trainingJobDefinitions Multiple training job definitions for tuning. See trainingJobDefinition. warmStartConfig Warm start settings. See warmStartConfig.

Implementation

const HyperParameterTuningJobState({
  this.arn,
  this.autotune,
  this.config,
  this.failureReason,
  this.name,
  this.region,
  this.status,
  this.tags,
  this.tagsAll,
  this.timeouts,
  this.trainingJobDefinition,
  this.trainingJobDefinitions,
  this.warmStartConfig,
});