Uses of Class
com.google.cloud.aiplatform.v1.FeatureStatsAnomaly.Builder
Packages that use FeatureStatsAnomaly.Builder
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Uses of FeatureStatsAnomaly.Builder in com.google.cloud.aiplatform.v1
Methods in com.google.cloud.aiplatform.v1 that return FeatureStatsAnomaly.BuilderModifier and TypeMethodDescriptionModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStatsBuilder()A list of historical stats generated by different time window's Prediction Dataset.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStatsBuilder(int index) A list of historical stats generated by different time window's Prediction Dataset.FeatureStatsAnomaly.Builder.clear()FeatureStatsAnomaly.Builder.clearAnomalyDetectionThreshold()This is the threshold used when detecting anomalies.FeatureStatsAnomaly.Builder.clearAnomalyUri()Path of the anomaly file for current feature values in Cloud Storage bucket.FeatureStatsAnomaly.Builder.clearDistributionDeviation()Deviation from the current stats to baseline stats. 1.FeatureStatsAnomaly.Builder.clearEndTime()The end timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.clearScore()Feature importance score, only populated when cross-feature monitoring is enabled.FeatureStatsAnomaly.Builder.clearStartTime()The start timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.clearStatsUri()Path of the stats file for current feature values in Cloud Storage bucket.Feature.MonitoringStatsAnomaly.Builder.getFeatureStatsAnomalyBuilder()Output only.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.getPredictionStatsBuilder(int index) A list of historical stats generated by different time window's Prediction Dataset.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.getTrainingStatsBuilder()Stats calculated for the Training Dataset.FeatureStatsAnomaly.Builder.mergeEndTime(com.google.protobuf.Timestamp value) The end timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.mergeFrom(FeatureStatsAnomaly other) FeatureStatsAnomaly.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) FeatureStatsAnomaly.Builder.mergeFrom(com.google.protobuf.Message other) FeatureStatsAnomaly.Builder.mergeStartTime(com.google.protobuf.Timestamp value) The start timestamp of window where stats were generated.static FeatureStatsAnomaly.BuilderFeatureStatsAnomaly.newBuilder()static FeatureStatsAnomaly.BuilderFeatureStatsAnomaly.newBuilder(FeatureStatsAnomaly prototype) FeatureStatsAnomaly.newBuilderForType()protected FeatureStatsAnomaly.BuilderFeatureStatsAnomaly.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) FeatureStatsAnomaly.Builder.setAnomalyDetectionThreshold(double value) This is the threshold used when detecting anomalies.FeatureStatsAnomaly.Builder.setAnomalyUri(String value) Path of the anomaly file for current feature values in Cloud Storage bucket.FeatureStatsAnomaly.Builder.setAnomalyUriBytes(com.google.protobuf.ByteString value) Path of the anomaly file for current feature values in Cloud Storage bucket.FeatureStatsAnomaly.Builder.setDistributionDeviation(double value) Deviation from the current stats to baseline stats. 1.FeatureStatsAnomaly.Builder.setEndTime(com.google.protobuf.Timestamp value) The end timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) The end timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.setScore(double value) Feature importance score, only populated when cross-feature monitoring is enabled.FeatureStatsAnomaly.Builder.setStartTime(com.google.protobuf.Timestamp value) The start timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) The start timestamp of window where stats were generated.FeatureStatsAnomaly.Builder.setStatsUri(String value) Path of the stats file for current feature values in Cloud Storage bucket.FeatureStatsAnomaly.Builder.setStatsUriBytes(com.google.protobuf.ByteString value) Path of the stats file for current feature values in Cloud Storage bucket.FeatureStatsAnomaly.toBuilder()Methods in com.google.cloud.aiplatform.v1 that return types with arguments of type FeatureStatsAnomaly.BuilderModifier and TypeMethodDescriptionModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.getPredictionStatsBuilderList()A list of historical stats generated by different time window's Prediction Dataset.Methods in com.google.cloud.aiplatform.v1 with parameters of type FeatureStatsAnomaly.BuilderModifier and TypeMethodDescriptionModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue) A list of historical stats generated by different time window's Prediction Dataset.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder.addPredictionStats(FeatureStatsAnomaly.Builder builderForValue) A list of historical stats generated by different time window's Prediction Dataset.Feature.MonitoringStatsAnomaly.Builder.setFeatureStatsAnomaly(FeatureStatsAnomaly.Builder builderForValue) Output only.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.setTrainingStats(FeatureStatsAnomaly.Builder builderForValue) Stats calculated for the Training Dataset.