Package com.google.cloud.aiplatform.v1

Interface NasJobSpec.MultiTrialAlgorithmSpecOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
NasJobSpec.MultiTrialAlgorithmSpec, NasJobSpec.MultiTrialAlgorithmSpec.Builder
Enclosing class:
NasJobSpec
public static interface NasJobSpec.MultiTrialAlgorithmSpecOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getMultiTrialAlgorithmValue

      int getMultiTrialAlgorithmValue()
       The multi-trial Neural Architecture Search (NAS) algorithm
 type. Defaults to `REINFORCEMENT_LEARNING`.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm multi_trial_algorithm = 1;
      Returns:
      The enum numeric value on the wire for multiTrialAlgorithm.

    • getMultiTrialAlgorithm

      NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm getMultiTrialAlgorithm()
       The multi-trial Neural Architecture Search (NAS) algorithm
 type. Defaults to `REINFORCEMENT_LEARNING`.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MultiTrialAlgorithm multi_trial_algorithm = 1;
      Returns:
      The multiTrialAlgorithm.

    • hasMetric

      boolean hasMetric()
       Metric specs for the NAS job.
 Validation for this field is done at `multi_trial_algorithm_spec` field.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec metric = 2;
      Returns:
      Whether the metric field is set.

    • getMetric

      NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec getMetric()
       Metric specs for the NAS job.
 Validation for this field is done at `multi_trial_algorithm_spec` field.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec metric = 2;
      Returns:
      The metric.

    • getMetricOrBuilder

      NasJobSpec.MultiTrialAlgorithmSpec.MetricSpecOrBuilder getMetricOrBuilder()
       Metric specs for the NAS job.
 Validation for this field is done at `multi_trial_algorithm_spec` field.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.MetricSpec metric = 2;

    • hasSearchTrialSpec

      boolean hasSearchTrialSpec()
       Required. Spec for search trials.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec search_trial_spec = 3 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      Whether the searchTrialSpec field is set.

    • getSearchTrialSpec

      NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec getSearchTrialSpec()
       Required. Spec for search trials.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec search_trial_spec = 3 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The searchTrialSpec.

    • getSearchTrialSpecOrBuilder

      NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpecOrBuilder getSearchTrialSpecOrBuilder()
       Required. Spec for search trials.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.SearchTrialSpec search_trial_spec = 3 [(.google.api.field_behavior) = REQUIRED];

    • hasTrainTrialSpec

      boolean hasTrainTrialSpec()
       Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count]
 search trials will be trained for every M
 [TrainTrialSpec.frequency] trials searched.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec train_trial_spec = 4;
      Returns:
      Whether the trainTrialSpec field is set.

    • getTrainTrialSpec

      NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec getTrainTrialSpec()
       Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count]
 search trials will be trained for every M
 [TrainTrialSpec.frequency] trials searched.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec train_trial_spec = 4;
      Returns:
      The trainTrialSpec.

    • getTrainTrialSpecOrBuilder

      NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpecOrBuilder getTrainTrialSpecOrBuilder()
       Spec for train trials. Top N [TrainTrialSpec.max_parallel_trial_count]
 search trials will be trained for every M
 [TrainTrialSpec.frequency] trials searched.
      .google.cloud.aiplatform.v1.NasJobSpec.MultiTrialAlgorithmSpec.TrainTrialSpec train_trial_spec = 4;