com.google.cloud.aiplatform.v1beta1

Class ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

com.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder

All Implemented Interfaces:

ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

public static final class ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>
implements ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

 Summary statistics for a population of values.
 

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue

Method Summary

Modifier and Type	Method and Description
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue	build()
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue	buildPartial()
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	clear()
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	clearDistribution() tensorflow.metadata.v0.DatasetFeatureStatistics format.
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	clearDistributionDeviation() Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	clone()
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
com.google.protobuf.Value	getDistribution() tensorflow.metadata.v0.DatasetFeatureStatistics format.
com.google.protobuf.Value.Builder	getDistributionBuilder() tensorflow.metadata.v0.DatasetFeatureStatistics format.
double	getDistributionDeviation() Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.
com.google.protobuf.ValueOrBuilder	getDistributionOrBuilder() tensorflow.metadata.v0.DatasetFeatureStatistics format.
boolean	hasDistribution() tensorflow.metadata.v0.DatasetFeatureStatistics format.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	mergeDistribution(com.google.protobuf.Value value) tensorflow.metadata.v0.DatasetFeatureStatistics format.
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	mergeFrom(ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue other)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	setDistribution(com.google.protobuf.Value.Builder builderForValue) tensorflow.metadata.v0.DatasetFeatureStatistics format.
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	setDistribution(com.google.protobuf.Value value) tensorflow.metadata.v0.DatasetFeatureStatistics format.
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	setDistributionDeviation(double value) Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

clear

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

getDefaultInstanceForType

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

setField

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                       Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

clearField

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

clearOneof

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

setRepeatedField

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                               int index,
                                                                                               Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

addRepeatedField

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                               Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

mergeFrom

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

mergeFrom

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeFrom(ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

mergeFrom

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                                                                        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                                 throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

Throws:

IOException

hasDistribution

public boolean hasDistribution()

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

Specified by:

hasDistribution in interface ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

Returns:

Whether the distribution field is set.

getDistribution

public com.google.protobuf.Value getDistribution()

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

Specified by:

getDistribution in interface ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

Returns:

The distribution.

setDistribution

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setDistribution(com.google.protobuf.Value value)

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

setDistribution

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setDistribution(com.google.protobuf.Value.Builder builderForValue)

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

mergeDistribution

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeDistribution(com.google.protobuf.Value value)

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

clearDistribution

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clearDistribution()

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

getDistributionBuilder

public com.google.protobuf.Value.Builder getDistributionBuilder()

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

getDistributionOrBuilder

public com.google.protobuf.ValueOrBuilder getDistributionOrBuilder()

 tensorflow.metadata.v0.DatasetFeatureStatistics format.
 

.google.protobuf.Value distribution = 1;

Specified by:

getDistributionOrBuilder in interface ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

getDistributionDeviation

public double getDistributionDeviation()

 Distribution distance deviation from the current dataset's statistics
 to baseline dataset's statistics.
   * For categorical feature, the distribution distance is calculated
     by L-inifinity norm or Jensen–Shannon divergence.
   * For numerical feature, the distribution distance is calculated by
     Jensen–Shannon divergence.
 

double distribution_deviation = 2;

Specified by:

getDistributionDeviation in interface ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder

Returns:

The distributionDeviation.

setDistributionDeviation

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setDistributionDeviation(double value)

 Distribution distance deviation from the current dataset's statistics
 to baseline dataset's statistics.
   * For categorical feature, the distribution distance is calculated
     by L-inifinity norm or Jensen–Shannon divergence.
   * For numerical feature, the distribution distance is calculated by
     Jensen–Shannon divergence.
 

double distribution_deviation = 2;

Parameters:

value - The distributionDeviation to set.

Returns:

This builder for chaining.

clearDistributionDeviation

public ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder clearDistributionDeviation()

 Distribution distance deviation from the current dataset's statistics
 to baseline dataset's statistics.
   * For categorical feature, the distribution distance is calculated
     by L-inifinity norm or Jensen–Shannon divergence.
   * For numerical feature, the distribution distance is calculated by
     Jensen–Shannon divergence.
 

double distribution_deviation = 2;

Returns:

This builder for chaining.

setUnknownFields

public final ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>

mergeUnknownFields

public final ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.Builder>