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

Packages that use ModelMonitoringStatsDataPoint.Builder

Package	Description
com.google.cloud.aiplatform.v1beta1

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

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

Modifier and Type	Method and Description
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringTabularStats.Builder.addDataPointsBuilder() The data points of this time series.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringTabularStats.Builder.addDataPointsBuilder(int index) The data points of this time series.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clear()
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearAlgorithm() Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearBaselineStats() Statistics from baseline dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearCreateTime() Statistics create time.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearCurrentStats() Statistics from current dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearHasAnomaly() Indicate if the statistics has anomaly.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearModelMonitoringJob() Model monitoring job resource name.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearSchedule() Schedule resource name.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clearThresholdValue() Threshold value.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.clone()
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringTabularStats.Builder.getDataPointsBuilder(int index) The data points of this time series.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value) Statistics from baseline dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeCreateTime(com.google.protobuf.Timestamp value) Statistics create time.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value) Statistics from current dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeFrom(com.google.protobuf.Message other)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeFrom(ModelMonitoringStatsDataPoint other)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.newBuilder()
static ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.newBuilder(ModelMonitoringStatsDataPoint prototype)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.newBuilderForType()
protected ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setAlgorithm(String value) Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setAlgorithmBytes(com.google.protobuf.ByteString value) Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue) Statistics from baseline dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value) Statistics from baseline dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Statistics create time.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setCreateTime(com.google.protobuf.Timestamp value) Statistics create time.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue) Statistics from current dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value) Statistics from current dataset.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setHasAnomaly(boolean value) Indicate if the statistics has anomaly.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setModelMonitoringJob(String value) Model monitoring job resource name.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setModelMonitoringJobBytes(com.google.protobuf.ByteString value) Model monitoring job resource name.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setSchedule(String value) Schedule resource name.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setScheduleBytes(com.google.protobuf.ByteString value) Schedule resource name.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setThresholdValue(double value) Threshold value.
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ModelMonitoringStatsDataPoint.Builder	ModelMonitoringStatsDataPoint.toBuilder()

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

Modifier and Type	Method and Description
List<ModelMonitoringStatsDataPoint.Builder>	ModelMonitoringTabularStats.Builder.getDataPointsBuilderList() The data points of this time series.

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

Modifier and Type	Method and Description
ModelMonitoringTabularStats.Builder	ModelMonitoringTabularStats.Builder.addDataPoints(int index, ModelMonitoringStatsDataPoint.Builder builderForValue) The data points of this time series.
ModelMonitoringTabularStats.Builder	ModelMonitoringTabularStats.Builder.addDataPoints(ModelMonitoringStatsDataPoint.Builder builderForValue) The data points of this time series.
ModelMonitoringTabularStats.Builder	ModelMonitoringTabularStats.Builder.setDataPoints(int index, ModelMonitoringStatsDataPoint.Builder builderForValue) The data points of this time series.