Class ModelMonitoringStatsDataPoint.Builder (3.79.0)

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public static final class ModelMonitoringStatsDataPoint.Builder extends GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder> implements ModelMonitoringStatsDataPointOrBuilder

Represents a single statistics data point.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringStatsDataPoint.Builder

Implements

ModelMonitoringStatsDataPointOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringStatsDataPoint.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ModelMonitoringStatsDataPoint build()

Returns
Type	Description
ModelMonitoringStatsDataPoint

buildPartial()

public ModelMonitoringStatsDataPoint buildPartial()

Returns
Type	Description
ModelMonitoringStatsDataPoint

clear()

public ModelMonitoringStatsDataPoint.Builder clear()

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAlgorithm()

public ModelMonitoringStatsDataPoint.Builder clearAlgorithm()

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

clearBaselineStats()

public ModelMonitoringStatsDataPoint.Builder clearBaselineStats()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

clearCreateTime()

public ModelMonitoringStatsDataPoint.Builder clearCreateTime()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

clearCurrentStats()

public ModelMonitoringStatsDataPoint.Builder clearCurrentStats()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringStatsDataPoint.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearHasAnomaly()

public ModelMonitoringStatsDataPoint.Builder clearHasAnomaly()

Indicate if the statistics has anomaly.

bool has_anomaly = 4;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

clearModelMonitoringJob()

public ModelMonitoringStatsDataPoint.Builder clearModelMonitoringJob()

Model monitoring job resource name.

string model_monitoring_job = 5;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringStatsDataPoint.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearSchedule()

public ModelMonitoringStatsDataPoint.Builder clearSchedule()

Schedule resource name.

string schedule = 6;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

clearThresholdValue()

public ModelMonitoringStatsDataPoint.Builder clearThresholdValue()

Threshold value.

double threshold_value = 3;

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

clone()

public ModelMonitoringStatsDataPoint.Builder clone()

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAlgorithm()

public String getAlgorithm()

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Returns
Type	Description
String	The algorithm.

getAlgorithmBytes()

public ByteString getAlgorithmBytes()

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Returns
Type	Description
ByteString	The bytes for algorithm.

getBaselineStats()

public ModelMonitoringStatsDataPoint.TypedValue getBaselineStats()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue	The baselineStats.

getBaselineStatsBuilder()

public ModelMonitoringStatsDataPoint.TypedValue.Builder getBaselineStatsBuilder()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.Builder

getBaselineStatsOrBuilder()

public ModelMonitoringStatsDataPoint.TypedValueOrBuilder getBaselineStatsOrBuilder()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValueOrBuilder

getCreateTime()

public Timestamp getCreateTime()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
TimestampOrBuilder

getCurrentStats()

public ModelMonitoringStatsDataPoint.TypedValue getCurrentStats()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue	The currentStats.

getCurrentStatsBuilder()

public ModelMonitoringStatsDataPoint.TypedValue.Builder getCurrentStatsBuilder()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue.Builder

getCurrentStatsOrBuilder()

public ModelMonitoringStatsDataPoint.TypedValueOrBuilder getCurrentStatsOrBuilder()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValueOrBuilder

getDefaultInstanceForType()

public ModelMonitoringStatsDataPoint getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringStatsDataPoint

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getHasAnomaly()

public boolean getHasAnomaly()

Indicate if the statistics has anomaly.

bool has_anomaly = 4;

Returns
Type	Description
boolean	The hasAnomaly.

getModelMonitoringJob()

public String getModelMonitoringJob()

Model monitoring job resource name.

string model_monitoring_job = 5;

Returns
Type	Description
String	The modelMonitoringJob.

getModelMonitoringJobBytes()

public ByteString getModelMonitoringJobBytes()

Model monitoring job resource name.

string model_monitoring_job = 5;

Returns
Type	Description
ByteString	The bytes for modelMonitoringJob.

getSchedule()

public String getSchedule()

Schedule resource name.

string schedule = 6;

Returns
Type	Description
String	The schedule.

getScheduleBytes()

public ByteString getScheduleBytes()

Schedule resource name.

string schedule = 6;

Returns
Type	Description
ByteString	The bytes for schedule.

getThresholdValue()

public double getThresholdValue()

Threshold value.

double threshold_value = 3;

Returns
Type	Description
double	The thresholdValue.

hasBaselineStats()

public boolean hasBaselineStats()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
boolean	Whether the baselineStats field is set.

hasCreateTime()

public boolean hasCreateTime()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
boolean	Whether the createTime field is set.

hasCurrentStats()

public boolean hasCurrentStats()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
boolean	Whether the currentStats field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)

public ModelMonitoringStatsDataPoint.Builder mergeBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Parameter
Name	Description
value	ModelMonitoringStatsDataPoint.TypedValue

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

mergeCreateTime(Timestamp value)

public ModelMonitoringStatsDataPoint.Builder mergeCreateTime(Timestamp value)

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

mergeCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)

public ModelMonitoringStatsDataPoint.Builder mergeCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Parameter
Name	Description
value	ModelMonitoringStatsDataPoint.TypedValue

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

mergeFrom(ModelMonitoringStatsDataPoint other)

public ModelMonitoringStatsDataPoint.Builder mergeFrom(ModelMonitoringStatsDataPoint other)

Parameter
Name	Description
other	ModelMonitoringStatsDataPoint

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringStatsDataPoint.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringStatsDataPoint.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringStatsDataPoint.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setAlgorithm(String value)

public ModelMonitoringStatsDataPoint.Builder setAlgorithm(String value)

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Parameter
Name	Description
value	String The algorithm to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setAlgorithmBytes(ByteString value)

public ModelMonitoringStatsDataPoint.Builder setAlgorithmBytes(ByteString value)

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Parameter
Name	Description
value	ByteString The bytes for algorithm to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)

public ModelMonitoringStatsDataPoint.Builder setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Parameter
Name	Description
value	ModelMonitoringStatsDataPoint.TypedValue

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)

public ModelMonitoringStatsDataPoint.Builder setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Parameter
Name	Description
builderForValue	ModelMonitoringStatsDataPoint.TypedValue.Builder

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

setCreateTime(Timestamp value)

public ModelMonitoringStatsDataPoint.Builder setCreateTime(Timestamp value)

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name	Description
value	Timestamp

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

setCreateTime(Timestamp.Builder builderForValue)

public ModelMonitoringStatsDataPoint.Builder setCreateTime(Timestamp.Builder builderForValue)

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)

public ModelMonitoringStatsDataPoint.Builder setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Parameter
Name	Description
value	ModelMonitoringStatsDataPoint.TypedValue

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)

public ModelMonitoringStatsDataPoint.Builder setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Parameter
Name	Description
builderForValue	ModelMonitoringStatsDataPoint.TypedValue.Builder

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringStatsDataPoint.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setHasAnomaly(boolean value)

public ModelMonitoringStatsDataPoint.Builder setHasAnomaly(boolean value)

Indicate if the statistics has anomaly.

bool has_anomaly = 4;

Parameter
Name	Description
value	boolean The hasAnomaly to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setModelMonitoringJob(String value)

public ModelMonitoringStatsDataPoint.Builder setModelMonitoringJob(String value)

Model monitoring job resource name.

string model_monitoring_job = 5;

Parameter
Name	Description
value	String The modelMonitoringJob to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setModelMonitoringJobBytes(ByteString value)

public ModelMonitoringStatsDataPoint.Builder setModelMonitoringJobBytes(ByteString value)

Model monitoring job resource name.

string model_monitoring_job = 5;

Parameter
Name	Description
value	ByteString The bytes for modelMonitoringJob to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ModelMonitoringStatsDataPoint.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setSchedule(String value)

public ModelMonitoringStatsDataPoint.Builder setSchedule(String value)

Schedule resource name.

string schedule = 6;

Parameter
Name	Description
value	String The schedule to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setScheduleBytes(ByteString value)

public ModelMonitoringStatsDataPoint.Builder setScheduleBytes(ByteString value)

Schedule resource name.

string schedule = 6;

Parameter
Name	Description
value	ByteString The bytes for schedule to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setThresholdValue(double value)

public ModelMonitoringStatsDataPoint.Builder setThresholdValue(double value)

Threshold value.

double threshold_value = 3;

Parameter
Name	Description
value	double The thresholdValue to set.

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringStatsDataPoint.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringStatsDataPoint.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)