public final class FeaturestoreMonitoringConfig extends GeneratedMessageV3 implements FeaturestoreMonitoringConfigOrBuilder
Configuration of how features in Featurestore are monitored.
Protobuf type google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
public static final int CATEGORICAL_THRESHOLD_CONFIG_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
public static final int IMPORT_FEATURES_ANALYSIS_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
public static final int NUMERICAL_THRESHOLD_CONFIG_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
public static final int SNAPSHOT_ANALYSIS_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
Static Methods
public static FeaturestoreMonitoringConfig getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static FeaturestoreMonitoringConfig.Builder newBuilder()
public static FeaturestoreMonitoringConfig.Builder newBuilder(FeaturestoreMonitoringConfig prototype)
public static FeaturestoreMonitoringConfig parseDelimitedFrom(InputStream input)
public static FeaturestoreMonitoringConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static FeaturestoreMonitoringConfig parseFrom(byte[] data)
Parameter |
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Name | Description |
data | byte[]
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public static FeaturestoreMonitoringConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static FeaturestoreMonitoringConfig parseFrom(ByteString data)
public static FeaturestoreMonitoringConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static FeaturestoreMonitoringConfig parseFrom(CodedInputStream input)
public static FeaturestoreMonitoringConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static FeaturestoreMonitoringConfig parseFrom(InputStream input)
public static FeaturestoreMonitoringConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static FeaturestoreMonitoringConfig parseFrom(ByteBuffer data)
public static FeaturestoreMonitoringConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<FeaturestoreMonitoringConfig> parser()
Methods
public boolean equals(Object obj)
Parameter |
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Name | Description |
obj | Object
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Overrides
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)
BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
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)
BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
public FeaturestoreMonitoringConfig getDefaultInstanceForType()
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
public FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
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)
DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
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)
DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
public Parser<FeaturestoreMonitoringConfig> getParserForType()
Overrides
public int getSerializedSize()
Returns |
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Type | Description |
int | |
Overrides
public FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
public FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
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)
BOOL or STRING).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
Returns |
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Type | Description |
boolean | Whether the categoricalThresholdConfig field is set.
|
public boolean hasImportFeaturesAnalysis()
The config for ImportFeatures Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
Returns |
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Type | Description |
boolean | Whether the importFeaturesAnalysis field is set.
|
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)
DOUBLE or INT64).
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
Returns |
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Type | Description |
boolean | Whether the numericalThresholdConfig field is set.
|
public boolean hasSnapshotAnalysis()
The config for Snapshot Analysis Based Feature Monitoring.
.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
Returns |
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Type | Description |
boolean | Whether the snapshotAnalysis field is set.
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Returns |
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Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public FeaturestoreMonitoringConfig.Builder newBuilderForType()
protected FeaturestoreMonitoringConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public FeaturestoreMonitoringConfig.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides