Class BatchPredictionJob.InputConfig.Builder (3.86.0)

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public static final class BatchPredictionJob.InputConfig.Builder extends GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder> implements BatchPredictionJob.InputConfigOrBuilder

Configures the input to BatchPredictionJob. See Model.supported_input_storage_formats for Model's supported input formats, and how instances should be expressed via any of them.

Protobuf type google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > BatchPredictionJob.InputConfig.Builder

Implements

BatchPredictionJob.InputConfigOrBuilder

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)

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

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

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

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

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

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

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

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

GeneratedMessage.Builder.internalGetMutableMapField(int)

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

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

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

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

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

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

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

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

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

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.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

build()

public BatchPredictionJob.InputConfig build()

Returns
Type	Description
BatchPredictionJob.InputConfig

buildPartial()

public BatchPredictionJob.InputConfig buildPartial()

Returns
Type	Description
BatchPredictionJob.InputConfig

clear()

public BatchPredictionJob.InputConfig.Builder clear()

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearBigquerySource()

public BatchPredictionJob.InputConfig.Builder clearBigquerySource()

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

clearGcsSource()

public BatchPredictionJob.InputConfig.Builder clearGcsSource()

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

clearInstancesFormat()

public BatchPredictionJob.InputConfig.Builder clearInstancesFormat()

Required. The format in which instances are given, must be one of the Model's supported_input_storage_formats.

string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder	This builder for chaining.

clearSource()

public BatchPredictionJob.InputConfig.Builder clearSource()

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

clearVertexMultimodalDatasetSource()

public BatchPredictionJob.InputConfig.Builder clearVertexMultimodalDatasetSource()

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

getBigquerySource()

public BigQuerySource getBigquerySource()

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns
Type	Description
BigQuerySource	The bigquerySource.

getBigquerySourceBuilder()

public BigQuerySource.Builder getBigquerySourceBuilder()

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns
Type	Description
BigQuerySource.Builder

getBigquerySourceOrBuilder()

public BigQuerySourceOrBuilder getBigquerySourceOrBuilder()

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns
Type	Description
BigQuerySourceOrBuilder

getDefaultInstanceForType()

public BatchPredictionJob.InputConfig getDefaultInstanceForType()

Returns
Type	Description
BatchPredictionJob.InputConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getGcsSource()

public GcsSource getGcsSource()

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Returns
Type	Description
GcsSource	The gcsSource.

getGcsSourceBuilder()

public GcsSource.Builder getGcsSourceBuilder()

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Returns
Type	Description
GcsSource.Builder

getGcsSourceOrBuilder()

public GcsSourceOrBuilder getGcsSourceOrBuilder()

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Returns
Type	Description
GcsSourceOrBuilder

getInstancesFormat()

public String getInstancesFormat()

Required. The format in which instances are given, must be one of the Model's supported_input_storage_formats.

string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
String	The instancesFormat.

getInstancesFormatBytes()

public ByteString getInstancesFormatBytes()

Required. The format in which instances are given, must be one of the Model's supported_input_storage_formats.

string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
ByteString	The bytes for instancesFormat.

getSourceCase()

public BatchPredictionJob.InputConfig.SourceCase getSourceCase()

Returns
Type	Description
BatchPredictionJob.InputConfig.SourceCase

getVertexMultimodalDatasetSource()

public VertexMultimodalDatasetSource getVertexMultimodalDatasetSource()

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Returns
Type	Description
VertexMultimodalDatasetSource	The vertexMultimodalDatasetSource.

getVertexMultimodalDatasetSourceBuilder()

public VertexMultimodalDatasetSource.Builder getVertexMultimodalDatasetSourceBuilder()

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Returns
Type	Description
VertexMultimodalDatasetSource.Builder

getVertexMultimodalDatasetSourceOrBuilder()

public VertexMultimodalDatasetSourceOrBuilder getVertexMultimodalDatasetSourceOrBuilder()

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Returns
Type	Description
VertexMultimodalDatasetSourceOrBuilder

hasBigquerySource()

public boolean hasBigquerySource()

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Returns
Type	Description
boolean	Whether the bigquerySource field is set.

hasGcsSource()

public boolean hasGcsSource()

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Returns
Type	Description
boolean	Whether the gcsSource field is set.

hasVertexMultimodalDatasetSource()

public boolean hasVertexMultimodalDatasetSource()

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Returns
Type	Description
boolean	Whether the vertexMultimodalDatasetSource field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeBigquerySource(BigQuerySource value)

public BatchPredictionJob.InputConfig.Builder mergeBigquerySource(BigQuerySource value)

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Parameter
Name	Description
value	BigQuerySource

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

mergeFrom(BatchPredictionJob.InputConfig other)

public BatchPredictionJob.InputConfig.Builder mergeFrom(BatchPredictionJob.InputConfig other)

Parameter
Name	Description
other	BatchPredictionJob.InputConfig

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public BatchPredictionJob.InputConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public BatchPredictionJob.InputConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

Overrides

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

mergeGcsSource(GcsSource value)

public BatchPredictionJob.InputConfig.Builder mergeGcsSource(GcsSource value)

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Parameter
Name	Description
value	GcsSource

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

mergeVertexMultimodalDatasetSource(VertexMultimodalDatasetSource value)

public BatchPredictionJob.InputConfig.Builder mergeVertexMultimodalDatasetSource(VertexMultimodalDatasetSource value)

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Parameter
Name	Description
value	VertexMultimodalDatasetSource

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

setBigquerySource(BigQuerySource value)

public BatchPredictionJob.InputConfig.Builder setBigquerySource(BigQuerySource value)

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Parameter
Name	Description
value	BigQuerySource

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

setBigquerySource(BigQuerySource.Builder builderForValue)

public BatchPredictionJob.InputConfig.Builder setBigquerySource(BigQuerySource.Builder builderForValue)

The BigQuery location of the input table. The schema of the table should be in the format described by the given context OpenAPI Schema, if one is provided. The table may contain additional columns that are not described by the schema, and they will be ignored.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 3;

Parameter
Name	Description
builderForValue	BigQuerySource.Builder

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

setGcsSource(GcsSource value)

public BatchPredictionJob.InputConfig.Builder setGcsSource(GcsSource value)

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Parameter
Name	Description
value	GcsSource

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

setGcsSource(GcsSource.Builder builderForValue)

public BatchPredictionJob.InputConfig.Builder setGcsSource(GcsSource.Builder builderForValue)

The Cloud Storage location for the input instances.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;

Parameter
Name	Description
builderForValue	GcsSource.Builder

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

setInstancesFormat(String value)

public BatchPredictionJob.InputConfig.Builder setInstancesFormat(String value)

Required. The format in which instances are given, must be one of the Model's supported_input_storage_formats.

string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	String The instancesFormat to set.

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder	This builder for chaining.

setInstancesFormatBytes(ByteString value)

public BatchPredictionJob.InputConfig.Builder setInstancesFormatBytes(ByteString value)

Required. The format in which instances are given, must be one of the Model's supported_input_storage_formats.

string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];

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

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder	This builder for chaining.

setVertexMultimodalDatasetSource(VertexMultimodalDatasetSource value)

public BatchPredictionJob.InputConfig.Builder setVertexMultimodalDatasetSource(VertexMultimodalDatasetSource value)

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Parameter
Name	Description
value	VertexMultimodalDatasetSource

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder

setVertexMultimodalDatasetSource(VertexMultimodalDatasetSource.Builder builderForValue)

public BatchPredictionJob.InputConfig.Builder setVertexMultimodalDatasetSource(VertexMultimodalDatasetSource.Builder builderForValue)

A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.

.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;

Parameter
Name	Description
builderForValue	VertexMultimodalDatasetSource.Builder

Returns
Type	Description
BatchPredictionJob.InputConfig.Builder