Package com.google.cloud.aiplatform.v1

Class FeaturestoreMonitoringConfig.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<FeaturestoreMonitoringConfig.Builder>
com.google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.Builder
All Implemented Interfaces:
FeaturestoreMonitoringConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
FeaturestoreMonitoringConfig
public static final class FeaturestoreMonitoringConfig.Builder extends com.google.protobuf.GeneratedMessage.Builder<FeaturestoreMonitoringConfig.Builder> implements FeaturestoreMonitoringConfigOrBuilder
 Configuration of how features in Featurestore are monitored.
Protobuf type google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<FeaturestoreMonitoringConfig.Builder>

    • clear

      public FeaturestoreMonitoringConfig.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<FeaturestoreMonitoringConfig.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<FeaturestoreMonitoringConfig.Builder>

    • getDefaultInstanceForType

      public FeaturestoreMonitoringConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public FeaturestoreMonitoringConfig build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public FeaturestoreMonitoringConfig buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public FeaturestoreMonitoringConfig.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<FeaturestoreMonitoringConfig.Builder>

    • mergeFrom

      public FeaturestoreMonitoringConfig.Builder mergeFrom(FeaturestoreMonitoringConfig other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<FeaturestoreMonitoringConfig.Builder>

    • mergeFrom

      public FeaturestoreMonitoringConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<FeaturestoreMonitoringConfig.Builder>
      Throws:
      IOException

    • hasSnapshotAnalysis

      public boolean hasSnapshotAnalysis()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
      Specified by:
      hasSnapshotAnalysis in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      Whether the snapshotAnalysis field is set.

    • getSnapshotAnalysis

      public FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
      Specified by:
      getSnapshotAnalysis in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      The snapshotAnalysis.

    • setSnapshotAnalysis

      public FeaturestoreMonitoringConfig.Builder setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

    • setSnapshotAnalysis

      public FeaturestoreMonitoringConfig.Builder setSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder builderForValue)
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

    • mergeSnapshotAnalysis

      public FeaturestoreMonitoringConfig.Builder mergeSnapshotAnalysis(FeaturestoreMonitoringConfig.SnapshotAnalysis value)
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

    • clearSnapshotAnalysis

      public FeaturestoreMonitoringConfig.Builder clearSnapshotAnalysis()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

    • getSnapshotAnalysisBuilder

      public FeaturestoreMonitoringConfig.SnapshotAnalysis.Builder getSnapshotAnalysisBuilder()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

    • getSnapshotAnalysisOrBuilder

      public FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
      Specified by:
      getSnapshotAnalysisOrBuilder in interface FeaturestoreMonitoringConfigOrBuilder

    • hasImportFeaturesAnalysis

      public boolean hasImportFeaturesAnalysis()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
      Specified by:
      hasImportFeaturesAnalysis in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      Whether the importFeaturesAnalysis field is set.

    • getImportFeaturesAnalysis

      public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
      Specified by:
      getImportFeaturesAnalysis in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      The importFeaturesAnalysis.

    • setImportFeaturesAnalysis

      public FeaturestoreMonitoringConfig.Builder setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

    • setImportFeaturesAnalysis

      public FeaturestoreMonitoringConfig.Builder setImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder builderForValue)
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

    • mergeImportFeaturesAnalysis

      public FeaturestoreMonitoringConfig.Builder mergeImportFeaturesAnalysis(FeaturestoreMonitoringConfig.ImportFeaturesAnalysis value)
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

    • clearImportFeaturesAnalysis

      public FeaturestoreMonitoringConfig.Builder clearImportFeaturesAnalysis()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

    • getImportFeaturesAnalysisBuilder

      public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Builder getImportFeaturesAnalysisBuilder()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

    • getImportFeaturesAnalysisOrBuilder

      public FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
      Specified by:
      getImportFeaturesAnalysisOrBuilder in interface FeaturestoreMonitoringConfigOrBuilder

    • hasNumericalThresholdConfig

      public boolean hasNumericalThresholdConfig()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
      Specified by:
      hasNumericalThresholdConfig in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      Whether the numericalThresholdConfig field is set.

    • getNumericalThresholdConfig

      public FeaturestoreMonitoringConfig.ThresholdConfig getNumericalThresholdConfig()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
      Specified by:
      getNumericalThresholdConfig in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      The numericalThresholdConfig.

    • setNumericalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

    • setNumericalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

    • mergeNumericalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder mergeNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

    • clearNumericalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder clearNumericalThresholdConfig()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

    • getNumericalThresholdConfigBuilder

      public FeaturestoreMonitoringConfig.ThresholdConfig.Builder getNumericalThresholdConfigBuilder()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

    • getNumericalThresholdConfigOrBuilder

      public FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getNumericalThresholdConfigOrBuilder()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
      Specified by:
      getNumericalThresholdConfigOrBuilder in interface FeaturestoreMonitoringConfigOrBuilder

    • hasCategoricalThresholdConfig

      public boolean hasCategoricalThresholdConfig()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
      Specified by:
      hasCategoricalThresholdConfig in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      Whether the categoricalThresholdConfig field is set.

    • getCategoricalThresholdConfig

      public FeaturestoreMonitoringConfig.ThresholdConfig getCategoricalThresholdConfig()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
      Specified by:
      getCategoricalThresholdConfig in interface FeaturestoreMonitoringConfigOrBuilder
      Returns:
      The categoricalThresholdConfig.

    • setCategoricalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

    • setCategoricalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig.Builder builderForValue)
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

    • mergeCategoricalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder mergeCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

    • clearCategoricalThresholdConfig

      public FeaturestoreMonitoringConfig.Builder clearCategoricalThresholdConfig()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

    • getCategoricalThresholdConfigBuilder

      public FeaturestoreMonitoringConfig.ThresholdConfig.Builder getCategoricalThresholdConfigBuilder()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;

    • getCategoricalThresholdConfigOrBuilder

      public FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getCategoricalThresholdConfigOrBuilder()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
      Specified by:
      getCategoricalThresholdConfigOrBuilder in interface FeaturestoreMonitoringConfigOrBuilder