Interface ModelMonitoringObjectiveSpecOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringObjectiveSpec, ModelMonitoringObjectiveSpec.Builder

@Generated public interface ModelMonitoringObjectiveSpecOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • hasTabularObjective

      boolean hasTabularObjective()
       Tabular monitoring objective.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
      Returns:
      Whether the tabularObjective field is set.
    • getTabularObjective

       Tabular monitoring objective.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
      Returns:
      The tabularObjective.
    • getTabularObjectiveOrBuilder

       Tabular monitoring objective.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
    • hasExplanationSpec

      boolean hasExplanationSpec()
       The explanation spec.
       This spec is required when the objectives spec includes feature attribution
       objectives.
       
      .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
      Returns:
      Whether the explanationSpec field is set.
    • getExplanationSpec

      ExplanationSpec getExplanationSpec()
       The explanation spec.
       This spec is required when the objectives spec includes feature attribution
       objectives.
       
      .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
      Returns:
      The explanationSpec.
    • getExplanationSpecOrBuilder

      ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
       The explanation spec.
       This spec is required when the objectives spec includes feature attribution
       objectives.
       
      .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
    • hasBaselineDataset

      boolean hasBaselineDataset()
       Baseline dataset.
       It could be the training dataset or production serving dataset from a
       previous period.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
      Returns:
      Whether the baselineDataset field is set.
    • getBaselineDataset

      ModelMonitoringInput getBaselineDataset()
       Baseline dataset.
       It could be the training dataset or production serving dataset from a
       previous period.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
      Returns:
      The baselineDataset.
    • getBaselineDatasetOrBuilder

      ModelMonitoringInputOrBuilder getBaselineDatasetOrBuilder()
       Baseline dataset.
       It could be the training dataset or production serving dataset from a
       previous period.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
    • hasTargetDataset

      boolean hasTargetDataset()
       Target dataset.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
      Returns:
      Whether the targetDataset field is set.
    • getTargetDataset

      ModelMonitoringInput getTargetDataset()
       Target dataset.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
      Returns:
      The targetDataset.
    • getTargetDatasetOrBuilder

      ModelMonitoringInputOrBuilder getTargetDatasetOrBuilder()
       Target dataset.
       
      .google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
    • getObjectiveCase