Class ModelMonitoringObjectiveConfig.TrainingDataset (3.3.0)

Version 3.3.0

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public static final class ModelMonitoringObjectiveConfig.TrainingDataset extends GeneratedMessageV3 implements ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Training Dataset information.

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

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ModelMonitoringObjectiveConfig.TrainingDataset

Implements

ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

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

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

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

BIGQUERY_SOURCE_FIELD_NUMBER

public static final int BIGQUERY_SOURCE_FIELD_NUMBER

Field Value

Type	Description
int

DATASET_FIELD_NUMBER

public static final int DATASET_FIELD_NUMBER

Field Value

Type	Description
int

DATA_FORMAT_FIELD_NUMBER

public static final int DATA_FORMAT_FIELD_NUMBER

Field Value

Type	Description
int

GCS_SOURCE_FIELD_NUMBER

public static final int GCS_SOURCE_FIELD_NUMBER

Field Value

Type	Description
int

LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER

public static final int LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER

Field Value

Type	Description
int

TARGET_FIELD_FIELD_NUMBER

public static final int TARGET_FIELD_FIELD_NUMBER

Field Value

Type	Description
int

Static Methods

getDefaultInstance()

public static ModelMonitoringObjectiveConfig.TrainingDataset getDefaultInstance()

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

newBuilder()

public static ModelMonitoringObjectiveConfig.TrainingDataset.Builder newBuilder()

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset.Builder

newBuilder(ModelMonitoringObjectiveConfig.TrainingDataset prototype)

public static ModelMonitoringObjectiveConfig.TrainingDataset.Builder newBuilder(ModelMonitoringObjectiveConfig.TrainingDataset prototype)

Parameter

Name	Description
prototype	ModelMonitoringObjectiveConfig.TrainingDataset

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset.Builder

parseDelimitedFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseDelimitedFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
IOException

parseFrom(byte[] data)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(byte[] data)

Parameter

Name	Description
data	byte[]

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	byte[]
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(ByteString data)

Parameter

Name	Description
data	ByteString

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteString
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(CodedInputStream input)

Parameter

Name	Description
input	CodedInputStream

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
IOException

parseFrom(InputStream input)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(InputStream input)

Parameter

Name	Description
input	InputStream

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	InputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
IOException

parseFrom(ByteBuffer data)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(ByteBuffer data)

Parameter

Name	Description
data	ByteBuffer

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ModelMonitoringObjectiveConfig.TrainingDataset parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
data	ByteBuffer
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

Exceptions

Type	Description
InvalidProtocolBufferException

parser()

public static Parser<ModelMonitoringObjectiveConfig.TrainingDataset> parser()

Returns

Type	Description
Parser<TrainingDataset>

Methods

equals(Object obj)

public boolean equals(Object obj)

Parameter

Name	Description
obj	Object

Returns

Type	Description
boolean

Overrides

AbstractMessage.equals(Object other)

getBigquerySource()

public BigQuerySource getBigquerySource()

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

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

Returns

Type	Description
BigQuerySource	The bigquerySource.

getBigquerySourceOrBuilder()

public BigQuerySourceOrBuilder getBigquerySourceOrBuilder()

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

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

Returns

Type	Description
BigQuerySourceOrBuilder

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;

Returns

Type	Description
String	The dataFormat.

getDataFormatBytes()

public 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;

Returns

Type	Description
ByteString	The bytes for dataFormat.

getDataSourceCase()

public ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase

getDataset()

public String getDataset()

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

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

Returns

Type	Description
String	The dataset.

getDatasetBytes()

public ByteString getDatasetBytes()

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

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

Returns

Type	Description
ByteString	The bytes for dataset.

getDefaultInstanceForType()

public ModelMonitoringObjectiveConfig.TrainingDataset getDefaultInstanceForType()

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset

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;

Returns

Type	Description
GcsSource	The gcsSource.

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;

Returns

Type	Description
GcsSourceOrBuilder

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;

Returns

Type	Description
SamplingStrategy	The loggingSamplingStrategy.

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;

Returns

Type	Description
SamplingStrategyOrBuilder

getParserForType()

public Parser<ModelMonitoringObjectiveConfig.TrainingDataset> getParserForType()

Returns

Type	Description
Parser<TrainingDataset>

Overrides

GeneratedMessageV3.getParserForType()

getSerializedSize()

public int getSerializedSize()

Returns

Type	Description
int

Overrides

GeneratedMessageV3.getSerializedSize()

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;

Returns

Type	Description
String	The targetField.

getTargetFieldBytes()

public 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;

Returns

Type	Description
ByteString	The bytes for targetField.

getUnknownFields()

public final UnknownFieldSet getUnknownFields()

Returns

Type	Description
UnknownFieldSet

Overrides

GeneratedMessageV3.getUnknownFields()

hasBigquerySource()

public boolean hasBigquerySource()

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

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

Returns

Type	Description
boolean	Whether the bigquerySource field is set.

hasDataset()

public boolean hasDataset()

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

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

Returns

Type	Description
boolean	Whether the dataset field is set.

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;

Returns

Type	Description
boolean	Whether the gcsSource field is set.

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;

Returns

Type	Description
boolean	Whether the loggingSamplingStrategy field is set.

hashCode()

public int hashCode()

Returns

Type	Description
int

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder newBuilderForType()

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ModelMonitoringObjectiveConfig.TrainingDataset.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter

Name	Description
parent	BuilderParent

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset.Builder

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter

Name	Description
unused	UnusedPrivateParameter

Returns

Type	Description
Object

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder toBuilder()

Returns

Type	Description
ModelMonitoringObjectiveConfig.TrainingDataset.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter

Name	Description
output	CodedOutputStream

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions

Type	Description
IOException