Class SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder (3.44.0)

public static final class SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder extends GeneratedMessageV3.Builder<SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder> implements SearchModelMonitoringStatsFilter.TabularStatsFilterOrBuilder

Tabular statistics filter.

Protobuf type google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.TabularStatsFilter

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

build()

public SearchModelMonitoringStatsFilter.TabularStatsFilter build()
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter

buildPartial()

public SearchModelMonitoringStatsFilter.TabularStatsFilter buildPartial()
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter

clear()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clear()
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

clearAlgorithm()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearAlgorithm()

Specify the algorithm type used for distance calculation, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 5;

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

clearModelMonitoringJob()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearModelMonitoringJob()

From a particular monitoring job.

string model_monitoring_job = 3;

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

clearModelMonitoringSchedule()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearModelMonitoringSchedule()

From a particular monitoring schedule.

string model_monitoring_schedule = 4;

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

clearObjectiveType()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearObjectiveType()

One of the supported monitoring objectives: raw-feature-drift prediction-output-drift feature-attribution

string objective_type = 2;

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

clearStatsName()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clearStatsName()

If not specified, will return all the stats_names.

string stats_name = 1;

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

clone()

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder clone()
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

getAlgorithm()

public String getAlgorithm()

Specify the algorithm type used for distance calculation, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 5;

Returns
Type Description
String

The algorithm.

getAlgorithmBytes()

public ByteString getAlgorithmBytes()

Specify the algorithm type used for distance calculation, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 5;

Returns
Type Description
ByteString

The bytes for algorithm.

getDefaultInstanceForType()

public SearchModelMonitoringStatsFilter.TabularStatsFilter getDefaultInstanceForType()
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getModelMonitoringJob()

public String getModelMonitoringJob()

From a particular monitoring job.

string model_monitoring_job = 3;

Returns
Type Description
String

The modelMonitoringJob.

getModelMonitoringJobBytes()

public ByteString getModelMonitoringJobBytes()

From a particular monitoring job.

string model_monitoring_job = 3;

Returns
Type Description
ByteString

The bytes for modelMonitoringJob.

getModelMonitoringSchedule()

public String getModelMonitoringSchedule()

From a particular monitoring schedule.

string model_monitoring_schedule = 4;

Returns
Type Description
String

The modelMonitoringSchedule.

getModelMonitoringScheduleBytes()

public ByteString getModelMonitoringScheduleBytes()

From a particular monitoring schedule.

string model_monitoring_schedule = 4;

Returns
Type Description
ByteString

The bytes for modelMonitoringSchedule.

getObjectiveType()

public String getObjectiveType()

One of the supported monitoring objectives: raw-feature-drift prediction-output-drift feature-attribution

string objective_type = 2;

Returns
Type Description
String

The objectiveType.

getObjectiveTypeBytes()

public ByteString getObjectiveTypeBytes()

One of the supported monitoring objectives: raw-feature-drift prediction-output-drift feature-attribution

string objective_type = 2;

Returns
Type Description
ByteString

The bytes for objectiveType.

getStatsName()

public String getStatsName()

If not specified, will return all the stats_names.

string stats_name = 1;

Returns
Type Description
String

The statsName.

getStatsNameBytes()

public ByteString getStatsNameBytes()

If not specified, will return all the stats_names.

string stats_name = 1;

Returns
Type Description
ByteString

The bytes for statsName.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(SearchModelMonitoringStatsFilter.TabularStatsFilter other)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder mergeFrom(SearchModelMonitoringStatsFilter.TabularStatsFilter other)
Parameter
Name Description
other SearchModelMonitoringStatsFilter.TabularStatsFilter
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

setAlgorithm(String value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setAlgorithm(String value)

Specify the algorithm type used for distance calculation, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 5;

Parameter
Name Description
value String

The algorithm to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setAlgorithmBytes(ByteString value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setAlgorithmBytes(ByteString value)

Specify the algorithm type used for distance calculation, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 5;

Parameter
Name Description
value ByteString

The bytes for algorithm to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

setModelMonitoringJob(String value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setModelMonitoringJob(String value)

From a particular monitoring job.

string model_monitoring_job = 3;

Parameter
Name Description
value String

The modelMonitoringJob to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setModelMonitoringJobBytes(ByteString value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setModelMonitoringJobBytes(ByteString value)

From a particular monitoring job.

string model_monitoring_job = 3;

Parameter
Name Description
value ByteString

The bytes for modelMonitoringJob to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setModelMonitoringSchedule(String value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setModelMonitoringSchedule(String value)

From a particular monitoring schedule.

string model_monitoring_schedule = 4;

Parameter
Name Description
value String

The modelMonitoringSchedule to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setModelMonitoringScheduleBytes(ByteString value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setModelMonitoringScheduleBytes(ByteString value)

From a particular monitoring schedule.

string model_monitoring_schedule = 4;

Parameter
Name Description
value ByteString

The bytes for modelMonitoringSchedule to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setObjectiveType(String value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setObjectiveType(String value)

One of the supported monitoring objectives: raw-feature-drift prediction-output-drift feature-attribution

string objective_type = 2;

Parameter
Name Description
value String

The objectiveType to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setObjectiveTypeBytes(ByteString value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setObjectiveTypeBytes(ByteString value)

One of the supported monitoring objectives: raw-feature-drift prediction-output-drift feature-attribution

string objective_type = 2;

Parameter
Name Description
value ByteString

The bytes for objectiveType to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

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

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides

setStatsName(String value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setStatsName(String value)

If not specified, will return all the stats_names.

string stats_name = 1;

Parameter
Name Description
value String

The statsName to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setStatsNameBytes(ByteString value)

public SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setStatsNameBytes(ByteString value)

If not specified, will return all the stats_names.

string stats_name = 1;

Parameter
Name Description
value ByteString

The bytes for statsName to set.

Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
SearchModelMonitoringStatsFilter.TabularStatsFilter.Builder
Overrides