Interface NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpecOrBuilder

    • Method Detail

      • hasTrainTrialJobSpec

        boolean hasTrainTrialJobSpec()
         Required. The spec of a train trial job. The same spec applies to
         all train trials.
         
        .google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        Whether the trainTrialJobSpec field is set.
      • getTrainTrialJobSpec

        CustomJobSpec getTrainTrialJobSpec()
         Required. The spec of a train trial job. The same spec applies to
         all train trials.
         
        .google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        The trainTrialJobSpec.
      • getTrainTrialJobSpecOrBuilder

        CustomJobSpecOrBuilder getTrainTrialJobSpecOrBuilder()
         Required. The spec of a train trial job. The same spec applies to
         all train trials.
         
        .google.cloud.aiplatform.v1.CustomJobSpec train_trial_job_spec = 1 [(.google.api.field_behavior) = REQUIRED];
      • getMaxParallelTrialCount

        int getMaxParallelTrialCount()
         Required. The maximum number of trials to run in parallel.
         
        int32 max_parallel_trial_count = 2 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        The maxParallelTrialCount.
      • getFrequency

        int getFrequency()
         Required. Frequency of search trials to start train stage. Top N
         [TrainTrialSpec.max_parallel_trial_count]
         search trials will be trained for every M
         [TrainTrialSpec.frequency] trials searched.
         
        int32 frequency = 3 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        The frequency.