public static final class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies extends GeneratedMessageV3 implements ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder
Historical Stats (and Anomalies) for a specific Feature.
Protobuf type
google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Static Fields
public static final int FEATURE_DISPLAY_NAME_FIELD_NUMBER
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public static final int PREDICTION_STATS_FIELD_NUMBER
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public static final int THRESHOLD_FIELD_NUMBER
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public static final int TRAINING_STATS_FIELD_NUMBER
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Static Methods
public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstance()
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public static final Descriptors.Descriptor getDescriptor()
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilder()
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilder(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies prototype)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseDelimitedFrom(InputStream input)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(byte[] data)
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Name | Description |
data | byte[]
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteString data)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(CodedInputStream input)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(InputStream input)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteBuffer data)
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public static ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies> parser()
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Methods
public boolean equals(Object obj)
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public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstanceForType()
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public String getFeatureDisplayName()
Display Name of the Feature.
string feature_display_name = 1;
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Type | Description |
String | The featureDisplayName.
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public ByteString getFeatureDisplayNameBytes()
Display Name of the Feature.
string feature_display_name = 1;
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Type | Description |
ByteString | The bytes for featureDisplayName.
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public Parser<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies> getParserForType()
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Overrides
public FeatureStatsAnomaly getPredictionStats(int index)
A list of historical stats generated by different time window's
Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
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public int getPredictionStatsCount()
A list of historical stats generated by different time window's
Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
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public List<FeatureStatsAnomaly> getPredictionStatsList()
A list of historical stats generated by different time window's
Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
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public FeatureStatsAnomalyOrBuilder getPredictionStatsOrBuilder(int index)
A list of historical stats generated by different time window's
Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
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public List<? extends FeatureStatsAnomalyOrBuilder> getPredictionStatsOrBuilderList()
A list of historical stats generated by different time window's
Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
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Type | Description |
List<? extends com.google.cloud.aiplatform.v1.FeatureStatsAnomalyOrBuilder> | |
public int getSerializedSize()
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Overrides
public ThresholdConfig getThreshold()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
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public ThresholdConfigOrBuilder getThresholdOrBuilder()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
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public FeatureStatsAnomaly getTrainingStats()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
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public FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
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public final UnknownFieldSet getUnknownFields()
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public boolean hasThreshold()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
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Type | Description |
boolean | Whether the threshold field is set.
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public boolean hasTrainingStats()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
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Type | Description |
boolean | Whether the trainingStats field is set.
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilderForType()
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protected ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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