GetHyperparameterTuningJobResult constructor

const GetHyperparameterTuningJobResult({
  1. required String createTime,
  2. required String displayName,
  3. required GoogleCloudAiplatformV1EncryptionSpecResponse encryptionSpec,
  4. required String endTime,
  5. required GoogleRpcStatusResponse error,
  6. required Map<String, String> labels,
  7. required int maxFailedTrialCount,
  8. required int maxTrialCount,
  9. required String name,
  10. required int parallelTrialCount,
  11. required String startTime,
  12. required String state,
  13. required GoogleCloudAiplatformV1StudySpecResponse studySpec,
  14. required GoogleCloudAiplatformV1CustomJobSpecResponse trialJobSpec,
  15. required List<GoogleCloudAiplatformV1TrialResponse> trials,
  16. required String updateTime,
})

Creates a new GetHyperparameterTuningJobResult. createTime Time when the HyperparameterTuningJob was created. displayName The display name of the HyperparameterTuningJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. encryptionSpec Customer-managed encryption key options for a HyperparameterTuningJob. If this is set, then all resources created by the HyperparameterTuningJob will be encrypted with the provided encryption key. endTime Time when the HyperparameterTuningJob entered any of the following states: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED. error Only populated when job's state is JOB_STATE_FAILED or JOB_STATE_CANCELLED. labels The labels with user-defined metadata to organize HyperparameterTuningJobs. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. maxFailedTrialCount The number of failed Trials that need to be seen before failing the HyperparameterTuningJob. If set to 0, Vertex AI decides how many Trials must fail before the whole job fails. maxTrialCount The desired total number of Trials. name Resource name of the HyperparameterTuningJob. parallelTrialCount The desired number of Trials to run in parallel. startTime Time when the HyperparameterTuningJob for the first time entered the JOB_STATE_RUNNING state. state The detailed state of the job. studySpec Study configuration of the HyperparameterTuningJob. trialJobSpec The spec of a trial job. The same spec applies to the CustomJobs created in all the trials. trials Trials of the HyperparameterTuningJob. updateTime Time when the HyperparameterTuningJob was most recently updated.

Implementation

const GetHyperparameterTuningJobResult({
  required this.createTime,
  required this.displayName,
  required this.encryptionSpec,
  required this.endTime,
  required this.error,
  required this.labels,
  required this.maxFailedTrialCount,
  required this.maxTrialCount,
  required this.name,
  required this.parallelTrialCount,
  required this.startTime,
  required this.state,
  required this.studySpec,
  required this.trialJobSpec,
  required this.trials,
  required this.updateTime,
});