Package com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringObjectiveSpec.DataDriftSpecOrBuilder

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

  • Method Details

    • getFeaturesList

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

    • getFeaturesCount

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

    • getFeatures

      String getFeatures(int index)
       Feature names / Prediction output names interested in monitoring.
 These should be a subset of the input feature names or prediction output
 names specified in the monitoring schema.
 If the field is not specified all features / prediction outputs 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 / Prediction output names interested in monitoring.
 These should be a subset of the input feature names or prediction output
 names specified in the monitoring schema.
 If the field is not specified all features / prediction outputs 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.

    • getCategoricalMetricType

      String getCategoricalMetricType()
       Supported metrics type:
 * l_infinity
 * jensen_shannon_divergence
      string categorical_metric_type = 2;
      Returns:
      The categoricalMetricType.

    • getCategoricalMetricTypeBytes

      com.google.protobuf.ByteString getCategoricalMetricTypeBytes()
       Supported metrics type:
 * l_infinity
 * jensen_shannon_divergence
      string categorical_metric_type = 2;
      Returns:
      The bytes for categoricalMetricType.

    • getNumericMetricType

      String getNumericMetricType()
       Supported metrics type:
 * jensen_shannon_divergence
      string numeric_metric_type = 3;
      Returns:
      The numericMetricType.

    • getNumericMetricTypeBytes

      com.google.protobuf.ByteString getNumericMetricTypeBytes()
       Supported metrics type:
 * jensen_shannon_divergence
      string numeric_metric_type = 3;
      Returns:
      The bytes for numericMetricType.

    • hasDefaultCategoricalAlertCondition

      boolean hasDefaultCategoricalAlertCondition()
       Default alert condition for all the categorical features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
      Returns:
      Whether the defaultCategoricalAlertCondition field is set.

    • getDefaultCategoricalAlertCondition

      ModelMonitoringAlertCondition getDefaultCategoricalAlertCondition()
       Default alert condition for all the categorical features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;
      Returns:
      The defaultCategoricalAlertCondition.

    • getDefaultCategoricalAlertConditionOrBuilder

      ModelMonitoringAlertConditionOrBuilder getDefaultCategoricalAlertConditionOrBuilder()
       Default alert condition for all the categorical features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_categorical_alert_condition = 4;

    • hasDefaultNumericAlertCondition

      boolean hasDefaultNumericAlertCondition()
       Default alert condition for all the numeric features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
      Returns:
      Whether the defaultNumericAlertCondition field is set.

    • getDefaultNumericAlertCondition

      ModelMonitoringAlertCondition getDefaultNumericAlertCondition()
       Default alert condition for all the numeric features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;
      Returns:
      The defaultNumericAlertCondition.

    • getDefaultNumericAlertConditionOrBuilder

      ModelMonitoringAlertConditionOrBuilder getDefaultNumericAlertConditionOrBuilder()
       Default alert condition for all the numeric features.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition default_numeric_alert_condition = 5;

    • getFeatureAlertConditionsCount

      int getFeatureAlertConditionsCount()
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

    • containsFeatureAlertConditions

      boolean containsFeatureAlertConditions(String key)
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;

    • 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 = 6;

    • 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 = 6;

    • getFeatureAlertConditionsOrThrow

      ModelMonitoringAlertCondition getFeatureAlertConditionsOrThrow(String key)
       Per feature alert condition will override default alert condition.
      map<string, .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertCondition> feature_alert_conditions = 6;