Uses of Class
com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.Builder

Packages that use FeatureStatsAnomaly.Builder

Package	Description
com.google.cloud.aiplatform.v1beta1

Uses of FeatureStatsAnomaly.Builder in com.google.cloud.aiplatform.v1beta1

Methods in com.google.cloud.aiplatform.v1beta1 that return FeatureStatsAnomaly.Builder

Modifier and Type	Method	Description
FeatureStatsAnomaly.Builder	Feature.Builder.addMonitoringStatsBuilder()	Output only.
FeatureStatsAnomaly.Builder	Feature.Builder.addMonitoringStatsBuilder(int index)	Output only.
FeatureStatsAnomaly.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStatsBuilder()	A list of historical stats generated by different time window's Prediction Dataset.
FeatureStatsAnomaly.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStatsBuilder(int index)	A list of historical stats generated by different time window's Prediction Dataset.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clear()
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearAnomalyDetectionThreshold()	This is the threshold used when detecting anomalies.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearAnomalyUri()	Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearDistributionDeviation()	Deviation from the current stats to baseline stats. 1.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearEndTime()	The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearScore()	Feature importance score, only populated when cross-feature monitoring is enabled.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearStartTime()	The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.clearStatsUri()	Path of the stats file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	Feature.MonitoringStatsAnomaly.Builder.getFeatureStatsAnomalyBuilder()	Output only.
FeatureStatsAnomaly.Builder	Feature.Builder.getMonitoringStatsBuilder(int index)	Output only.
FeatureStatsAnomaly.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.getPredictionStatsBuilder(int index)	A list of historical stats generated by different time window's Prediction Dataset.
FeatureStatsAnomaly.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.getTrainingStatsBuilder()	Stats calculated for the Training Dataset.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.mergeEndTime(com.google.protobuf.Timestamp value)	The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.mergeFrom(FeatureStatsAnomaly other)
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.mergeFrom(com.google.protobuf.Message other)
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.mergeStartTime(com.google.protobuf.Timestamp value)	The start timestamp of window where stats were generated.
static FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.newBuilder()
static FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.newBuilder(FeatureStatsAnomaly prototype)
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.newBuilderForType()
protected FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setAnomalyDetectionThreshold(double value)	This is the threshold used when detecting anomalies.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setAnomalyUri(String value)	Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setAnomalyUriBytes(com.google.protobuf.ByteString value)	Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setDistributionDeviation(double value)	Deviation from the current stats to baseline stats. 1.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setEndTime(com.google.protobuf.Timestamp value)	The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)	The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setScore(double value)	Feature importance score, only populated when cross-feature monitoring is enabled.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setStartTime(com.google.protobuf.Timestamp value)	The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setStartTime(com.google.protobuf.Timestamp.Builder builderForValue)	The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setStatsUri(String value)	Path of the stats file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.Builder.setStatsUriBytes(com.google.protobuf.ByteString value)	Path of the stats file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	FeatureStatsAnomaly.toBuilder()

Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type FeatureStatsAnomaly.Builder

Modifier and Type	Method	Description
List<FeatureStatsAnomaly.Builder>	Feature.Builder.getMonitoringStatsBuilderList()	Output only.
List<FeatureStatsAnomaly.Builder>	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.getPredictionStatsBuilderList()	A list of historical stats generated by different time window's Prediction Dataset.

Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type FeatureStatsAnomaly.Builder

Modifier and Type	Method	Description
Feature.Builder	Feature.Builder.addMonitoringStats(int index, FeatureStatsAnomaly.Builder builderForValue)	Output only.
Feature.Builder	Feature.Builder.addMonitoringStats(FeatureStatsAnomaly.Builder builderForValue)	Output only.
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)	A list of historical stats generated by different time window's Prediction Dataset.
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStats(FeatureStatsAnomaly.Builder builderForValue)	A list of historical stats generated by different time window's Prediction Dataset.
Feature.MonitoringStatsAnomaly.Builder	Feature.MonitoringStatsAnomaly.Builder.setFeatureStatsAnomaly(FeatureStatsAnomaly.Builder builderForValue)	Output only.
Feature.Builder	Feature.Builder.setMonitoringStats(int index, FeatureStatsAnomaly.Builder builderForValue)	Output only.
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.setPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)	A list of historical stats generated by different time window's Prediction Dataset.
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder	ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.setTrainingStats(FeatureStatsAnomaly.Builder builderForValue)	Stats calculated for the Training Dataset.