Package com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringObjectiveSpec.FeatureAttributionSpecOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringObjectiveSpec.FeatureAttributionSpec, ModelMonitoringObjectiveSpec.FeatureAttributionSpec.Builder
Enclosing class:
ModelMonitoringObjectiveSpec
public static interface ModelMonitoringObjectiveSpec.FeatureAttributionSpecOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getFeaturesList

      List<String> getFeaturesList()
       Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
      repeated string features = 1;
      Returns:
      A list containing the features.

    • getFeaturesCount

      int getFeaturesCount()
       Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
      repeated string features = 1;
      Returns:
      The count of features.

    • getFeatures

      String getFeatures(int index)
       Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
      repeated string features = 1;
      Parameters:
      index - The index of the element to return.
      Returns:
      The features at the given index.

    • getFeaturesBytes

      com.google.protobuf.ByteString getFeaturesBytes(int index)
       Feature names interested in monitoring.
 These should be a subset of the input feature names specified in the
 monitoring schema. If the field is not specified all features outlied in
 the monitoring schema will be used.
      repeated string features = 1;
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the features at the given index.

    • hasDefaultAlertCondition

      boolean hasDefaultAlertCondition()
       Default alert condition for all the features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
      Returns:
      Whether the defaultAlertCondition field is set.

    • getDefaultAlertCondition

      ModelMonitoringAlertCondition getDefaultAlertCondition()
       Default alert condition for all the features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;
      Returns:
      The defaultAlertCondition.

    • getDefaultAlertConditionOrBuilder

      ModelMonitoringAlertConditionOrBuilder getDefaultAlertConditionOrBuilder()
       Default alert condition for all the features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_alert_condition = 2;

    • getFeatureAlertConditionsCount

      int getFeatureAlertConditionsCount()
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

    • containsFeatureAlertConditions

      boolean containsFeatureAlertConditions(String key)
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

    • getFeatureAlertConditions

      @Deprecated Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditions()
      Deprecated.
      Use getFeatureAlertConditionsMap() instead.

    • getFeatureAlertConditionsMap

      Map<String,ModelMonitoringAlertCondition> getFeatureAlertConditionsMap()
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

    • getFeatureAlertConditionsOrDefault

      ModelMonitoringAlertCondition getFeatureAlertConditionsOrDefault(String key, ModelMonitoringAlertCondition defaultValue)
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

    • getFeatureAlertConditionsOrThrow

      ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 3;

    • hasBatchExplanationDedicatedResources

      boolean hasBatchExplanationDedicatedResources()
       The config of resources used by the Model Monitoring during the batch
 explanation for non-AutoML models. If not set, `n1-standard-2` machine
 type will be used by default.
      .google.cloud.aiplatform.v1beta1.BatchDedicatedResources batch_explanation_dedicated_resources = 4;
      Returns:
      Whether the batchExplanationDedicatedResources field is set.

    • getBatchExplanationDedicatedResources

      BatchDedicatedResources getBatchExplanationDedicatedResources()
       The config of resources used by the Model Monitoring during the batch
 explanation for non-AutoML models. If not set, `n1-standard-2` machine
 type will be used by default.
      .google.cloud.aiplatform.v1beta1.BatchDedicatedResources batch_explanation_dedicated_resources = 4;
      Returns:
      The batchExplanationDedicatedResources.

    • getBatchExplanationDedicatedResourcesOrBuilder

      BatchDedicatedResourcesOrBuilder getBatchExplanationDedicatedResourcesOrBuilder()
       The config of resources used by the Model Monitoring during the batch
 explanation for non-AutoML models. If not set, `n1-standard-2` machine
 type will be used by default.
      .google.cloud.aiplatform.v1beta1.BatchDedicatedResources batch_explanation_dedicated_resources = 4;