Uses of Class
com.google.cloud.aiplatform.v1beta1.FeatureStatsAndAnomaly.Builder
Packages that use FeatureStatsAndAnomaly.Builder
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Uses of FeatureStatsAndAnomaly.Builder in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return FeatureStatsAndAnomaly.BuilderModifier and TypeMethodDescriptionFeatureMonitorJob.JobSummary.Builder.addFeatureStatsAndAnomaliesBuilder()Output only.FeatureMonitorJob.JobSummary.Builder.addFeatureStatsAndAnomaliesBuilder(int index) Output only.Feature.Builder.addFeatureStatsAndAnomalyBuilder()Output only.Feature.Builder.addFeatureStatsAndAnomalyBuilder(int index) Output only.FeatureStatsAndAnomaly.Builder.clear()FeatureStatsAndAnomaly.Builder.clearDistributionDeviation()Deviation from the current stats to baseline stats. 1.FeatureStatsAndAnomaly.Builder.clearDriftDetected()If set to true, indicates current stats is detected as and comparing with baseline stats.FeatureStatsAndAnomaly.Builder.clearDriftDetectionThreshold()This is the threshold used when detecting drifts, which is set in FeatureMonitor.FeatureSelectionConfig.FeatureConfig.drift_thresholdFeatureStatsAndAnomaly.Builder.clearFeatureId()Feature Id.FeatureStatsAndAnomaly.Builder.clearFeatureMonitorId()The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated according to.FeatureStatsAndAnomaly.Builder.clearFeatureMonitorJobId()The ID of the FeatureMonitorJob that generated this FeatureStatsAndAnomaly.FeatureStatsAndAnomaly.Builder.clearFeatureStats()Feature stats. e.g. histogram buckets.FeatureStatsAndAnomaly.Builder.clearStatsTime()The timestamp we take snapshot for feature values to generate stats.FeatureMonitorJob.JobSummary.Builder.getFeatureStatsAndAnomaliesBuilder(int index) Output only.Feature.Builder.getFeatureStatsAndAnomalyBuilder(int index) Output only.FeatureStatsAndAnomaly.Builder.mergeFeatureStats(com.google.protobuf.Value value) Feature stats. e.g. histogram buckets.FeatureStatsAndAnomaly.Builder.mergeFrom(FeatureStatsAndAnomaly other) FeatureStatsAndAnomaly.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) FeatureStatsAndAnomaly.Builder.mergeFrom(com.google.protobuf.Message other) FeatureStatsAndAnomaly.Builder.mergeStatsTime(com.google.protobuf.Timestamp value) The timestamp we take snapshot for feature values to generate stats.FeatureStatsAndAnomaly.newBuilder()FeatureStatsAndAnomaly.newBuilder(FeatureStatsAndAnomaly prototype) FeatureStatsAndAnomaly.newBuilderForType()protected FeatureStatsAndAnomaly.BuilderFeatureStatsAndAnomaly.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) FeatureStatsAndAnomaly.Builder.setDistributionDeviation(double value) Deviation from the current stats to baseline stats. 1.FeatureStatsAndAnomaly.Builder.setDriftDetected(boolean value) If set to true, indicates current stats is detected as and comparing with baseline stats.FeatureStatsAndAnomaly.Builder.setDriftDetectionThreshold(double value) This is the threshold used when detecting drifts, which is set in FeatureMonitor.FeatureSelectionConfig.FeatureConfig.drift_thresholdFeatureStatsAndAnomaly.Builder.setFeatureId(String value) Feature Id.FeatureStatsAndAnomaly.Builder.setFeatureIdBytes(com.google.protobuf.ByteString value) Feature Id.FeatureStatsAndAnomaly.Builder.setFeatureMonitorId(String value) The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated according to.FeatureStatsAndAnomaly.Builder.setFeatureMonitorIdBytes(com.google.protobuf.ByteString value) The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated according to.FeatureStatsAndAnomaly.Builder.setFeatureMonitorJobId(long value) The ID of the FeatureMonitorJob that generated this FeatureStatsAndAnomaly.FeatureStatsAndAnomaly.Builder.setFeatureStats(com.google.protobuf.Value value) Feature stats. e.g. histogram buckets.FeatureStatsAndAnomaly.Builder.setFeatureStats(com.google.protobuf.Value.Builder builderForValue) Feature stats. e.g. histogram buckets.FeatureStatsAndAnomaly.Builder.setStatsTime(com.google.protobuf.Timestamp value) The timestamp we take snapshot for feature values to generate stats.FeatureStatsAndAnomaly.Builder.setStatsTime(com.google.protobuf.Timestamp.Builder builderForValue) The timestamp we take snapshot for feature values to generate stats.FeatureStatsAndAnomaly.toBuilder()Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type FeatureStatsAndAnomaly.BuilderModifier and TypeMethodDescriptionFeatureMonitorJob.JobSummary.Builder.getFeatureStatsAndAnomaliesBuilderList()Output only.Feature.Builder.getFeatureStatsAndAnomalyBuilderList()Output only.Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type FeatureStatsAndAnomaly.BuilderModifier and TypeMethodDescriptionFeatureMonitorJob.JobSummary.Builder.addFeatureStatsAndAnomalies(int index, FeatureStatsAndAnomaly.Builder builderForValue) Output only.FeatureMonitorJob.JobSummary.Builder.addFeatureStatsAndAnomalies(FeatureStatsAndAnomaly.Builder builderForValue) Output only.Feature.Builder.addFeatureStatsAndAnomaly(int index, FeatureStatsAndAnomaly.Builder builderForValue) Output only.Feature.Builder.addFeatureStatsAndAnomaly(FeatureStatsAndAnomaly.Builder builderForValue) Output only.FeatureMonitorJob.JobSummary.Builder.setFeatureStatsAndAnomalies(int index, FeatureStatsAndAnomaly.Builder builderForValue) Output only.Feature.Builder.setFeatureStatsAndAnomaly(int index, FeatureStatsAndAnomaly.Builder builderForValue) Output only.