Package com.google.cloud.aiplatform.v1

Class ModelMonitoringObjectiveConfig.TrainingDataset.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>

com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset.Builder

All Implemented Interfaces:

ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ModelMonitoringObjectiveConfig.TrainingDataset

public static final class ModelMonitoringObjectiveConfig.TrainingDataset.Builder
extends com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>
implements ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

 Training Dataset information.
 

Protobuf type google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset

Method Summary

Modifier and Type	Method	Description
ModelMonitoringObjectiveConfig.TrainingDataset	build()
ModelMonitoringObjectiveConfig.TrainingDataset	buildPartial()
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clear()
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearBigquerySource()	The BigQuery table of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearDataFormat()	Data format of the dataset, only applicable if the input is from Google Cloud Storage.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearDataset()	The resource name of the Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearDataSource()
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearGcsSource()	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearLoggingSamplingStrategy()	Strategy to sample data from Training Dataset.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	clearTargetField()	The target field name the model is to predict.
BigQuerySource	getBigquerySource()	The BigQuery table of the unmanaged Dataset used to train this Model.
BigQuerySource.Builder	getBigquerySourceBuilder()	The BigQuery table of the unmanaged Dataset used to train this Model.
BigQuerySourceOrBuilder	getBigquerySourceOrBuilder()	The BigQuery table of the unmanaged Dataset used to train this Model.
String	getDataFormat()	Data format of the dataset, only applicable if the input is from Google Cloud Storage.
com.google.protobuf.ByteString	getDataFormatBytes()	Data format of the dataset, only applicable if the input is from Google Cloud Storage.
String	getDataset()	The resource name of the Dataset used to train this Model.
com.google.protobuf.ByteString	getDatasetBytes()	The resource name of the Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase	getDataSourceCase()
ModelMonitoringObjectiveConfig.TrainingDataset	getDefaultInstanceForType()
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
GcsSource	getGcsSource()	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
GcsSource.Builder	getGcsSourceBuilder()	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
GcsSourceOrBuilder	getGcsSourceOrBuilder()	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
SamplingStrategy	getLoggingSamplingStrategy()	Strategy to sample data from Training Dataset.
SamplingStrategy.Builder	getLoggingSamplingStrategyBuilder()	Strategy to sample data from Training Dataset.
SamplingStrategyOrBuilder	getLoggingSamplingStrategyOrBuilder()	Strategy to sample data from Training Dataset.
String	getTargetField()	The target field name the model is to predict.
com.google.protobuf.ByteString	getTargetFieldBytes()	The target field name the model is to predict.
boolean	hasBigquerySource()	The BigQuery table of the unmanaged Dataset used to train this Model.
boolean	hasDataset()	The resource name of the Dataset used to train this Model.
boolean	hasGcsSource()	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
boolean	hasLoggingSamplingStrategy()	Strategy to sample data from Training Dataset.
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	mergeBigquerySource(BigQuerySource value)	The BigQuery table of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	mergeFrom(ModelMonitoringObjectiveConfig.TrainingDataset other)
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	mergeGcsSource(GcsSource value)	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	mergeLoggingSamplingStrategy(SamplingStrategy value)	Strategy to sample data from Training Dataset.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setBigquerySource(BigQuerySource value)	The BigQuery table of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setBigquerySource(BigQuerySource.Builder builderForValue)	The BigQuery table of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setDataFormat(String value)	Data format of the dataset, only applicable if the input is from Google Cloud Storage.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setDataFormatBytes(com.google.protobuf.ByteString value)	Data format of the dataset, only applicable if the input is from Google Cloud Storage.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setDataset(String value)	The resource name of the Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setDatasetBytes(com.google.protobuf.ByteString value)	The resource name of the Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setGcsSource(GcsSource value)	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setGcsSource(GcsSource.Builder builderForValue)	The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setLoggingSamplingStrategy(SamplingStrategy value)	Strategy to sample data from Training Dataset.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue)	Strategy to sample data from Training Dataset.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setTargetField(String value)	The target field name the model is to predict.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	setTargetFieldBytes(com.google.protobuf.ByteString value)	The target field name the model is to predict.

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

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, 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, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

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

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

mergeDelimitedFrom, mergeDelimitedFrom

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

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Details

getDescriptor

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

internalGetFieldAccessorTable

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

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>

clear

public ModelMonitoringObjectiveConfig.TrainingDataset.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.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.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.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>

getDefaultInstanceForType

public ModelMonitoringObjectiveConfig.TrainingDataset getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitoringObjectiveConfig.TrainingDataset build()

Specified by:

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

Specified by:

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

buildPartial

public ModelMonitoringObjectiveConfig.TrainingDataset buildPartial()

Specified by:

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

Specified by:

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

mergeFrom

public ModelMonitoringObjectiveConfig.TrainingDataset.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<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeFrom(ModelMonitoringObjectiveConfig.TrainingDataset other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.TrainingDataset.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<ModelMonitoringObjectiveConfig.TrainingDataset.Builder>

Throws:

IOException

getDataSourceCase

public ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()

Specified by:

getDataSourceCase in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

clearDataSource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearDataSource()

hasDataset

public boolean hasDataset()

 The resource name of the Dataset used to train this Model.
 

string dataset = 3 [(.google.api.resource_reference) = { ... }

Specified by:

hasDataset in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

Whether the dataset field is set.

getDataset

public String getDataset()

 The resource name of the Dataset used to train this Model.
 

string dataset = 3 [(.google.api.resource_reference) = { ... }

Specified by:

getDataset in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The dataset.

getDatasetBytes

public com.google.protobuf.ByteString getDatasetBytes()

 The resource name of the Dataset used to train this Model.
 

string dataset = 3 [(.google.api.resource_reference) = { ... }

Specified by:

getDatasetBytes in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The bytes for dataset.

setDataset

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDataset(String value)

 The resource name of the Dataset used to train this Model.
 

string dataset = 3 [(.google.api.resource_reference) = { ... }

Parameters:

value - The dataset to set.

Returns:

This builder for chaining.

clearDataset

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearDataset()

 The resource name of the Dataset used to train this Model.
 

string dataset = 3 [(.google.api.resource_reference) = { ... }

Returns:

This builder for chaining.

setDatasetBytes

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDatasetBytes(com.google.protobuf.ByteString value)

 The resource name of the Dataset used to train this Model.
 

string dataset = 3 [(.google.api.resource_reference) = { ... }

Parameters:

value - The bytes for dataset to set.

Returns:

This builder for chaining.

hasGcsSource

public boolean hasGcsSource()

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

Specified by:

hasGcsSource in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

Whether the gcsSource field is set.

getGcsSource

public GcsSource getGcsSource()

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

Specified by:

getGcsSource in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The gcsSource.

setGcsSource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setGcsSource(GcsSource value)

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

setGcsSource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setGcsSource(GcsSource.Builder builderForValue)

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

mergeGcsSource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeGcsSource(GcsSource value)

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

clearGcsSource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearGcsSource()

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

getGcsSourceBuilder

public GcsSource.Builder getGcsSourceBuilder()

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

getGcsSourceOrBuilder

public GcsSourceOrBuilder getGcsSourceOrBuilder()

 The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
 

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

Specified by:

getGcsSourceOrBuilder in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

hasBigquerySource

public boolean hasBigquerySource()

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

Specified by:

hasBigquerySource in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

Whether the bigquerySource field is set.

getBigquerySource

public BigQuerySource getBigquerySource()

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

Specified by:

getBigquerySource in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The bigquerySource.

setBigquerySource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setBigquerySource(BigQuerySource value)

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

setBigquerySource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setBigquerySource(BigQuerySource.Builder builderForValue)

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

mergeBigquerySource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeBigquerySource(BigQuerySource value)

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

clearBigquerySource

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearBigquerySource()

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

getBigquerySourceBuilder

public BigQuerySource.Builder getBigquerySourceBuilder()

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

getBigquerySourceOrBuilder

public BigQuerySourceOrBuilder getBigquerySourceOrBuilder()

 The BigQuery table of the unmanaged Dataset used to train this
 Model.
 

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

Specified by:

getBigquerySourceOrBuilder in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

getDataFormat

public String getDataFormat()

 Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
 

string data_format = 2;

Specified by:

getDataFormat in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The dataFormat.

getDataFormatBytes

public com.google.protobuf.ByteString getDataFormatBytes()

 Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
 

string data_format = 2;

Specified by:

getDataFormatBytes in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The bytes for dataFormat.

setDataFormat

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDataFormat(String value)

 Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
 

string data_format = 2;

Parameters:

value - The dataFormat to set.

Returns:

This builder for chaining.

clearDataFormat

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearDataFormat()

 Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
 

string data_format = 2;

Returns:

This builder for chaining.

setDataFormatBytes

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setDataFormatBytes(com.google.protobuf.ByteString value)

 Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
 

string data_format = 2;

Parameters:

value - The bytes for dataFormat to set.

Returns:

This builder for chaining.

getTargetField

public String getTargetField()

 The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
 

string target_field = 6;

Specified by:

getTargetField in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The targetField.

getTargetFieldBytes

public com.google.protobuf.ByteString getTargetFieldBytes()

 The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
 

string target_field = 6;

Specified by:

getTargetFieldBytes in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The bytes for targetField.

setTargetField

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setTargetField(String value)

 The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
 

string target_field = 6;

Parameters:

value - The targetField to set.

Returns:

This builder for chaining.

clearTargetField

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearTargetField()

 The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
 

string target_field = 6;

Returns:

This builder for chaining.

setTargetFieldBytes

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setTargetFieldBytes(com.google.protobuf.ByteString value)

 The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
 

string target_field = 6;

Parameters:

value - The bytes for targetField to set.

Returns:

This builder for chaining.

hasLoggingSamplingStrategy

public boolean hasLoggingSamplingStrategy()

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

Specified by:

hasLoggingSamplingStrategy in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

Whether the loggingSamplingStrategy field is set.

getLoggingSamplingStrategy

public SamplingStrategy getLoggingSamplingStrategy()

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

Specified by:

getLoggingSamplingStrategy in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Returns:

The loggingSamplingStrategy.

setLoggingSamplingStrategy

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setLoggingSamplingStrategy(SamplingStrategy value)

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

setLoggingSamplingStrategy

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue)

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

mergeLoggingSamplingStrategy

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder mergeLoggingSamplingStrategy(SamplingStrategy value)

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

clearLoggingSamplingStrategy

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder clearLoggingSamplingStrategy()

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

getLoggingSamplingStrategyBuilder

public SamplingStrategy.Builder getLoggingSamplingStrategyBuilder()

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

getLoggingSamplingStrategyOrBuilder

public SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()

 Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
 

.google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

Specified by:

getLoggingSamplingStrategyOrBuilder in interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder