com.google.cloud.aiplatform.v1

Class BatchPredictionJob.OutputConfig.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

com.google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.Builder

All Implemented Interfaces:

BatchPredictionJob.OutputConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

BatchPredictionJob.OutputConfig

public static final class BatchPredictionJob.OutputConfig.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>
implements BatchPredictionJob.OutputConfigOrBuilder

 Configures the output of
 [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See
 [Model.supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats]
 for supported output formats, and how predictions are expressed via any of
 them.
 

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

Method Summary

Modifier and Type	Method and Description
BatchPredictionJob.OutputConfig.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
BatchPredictionJob.OutputConfig	build()
BatchPredictionJob.OutputConfig	buildPartial()
BatchPredictionJob.OutputConfig.Builder	clear()
BatchPredictionJob.OutputConfig.Builder	clearBigqueryDestination() The BigQuery project or dataset location where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	clearDestination()
BatchPredictionJob.OutputConfig.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
BatchPredictionJob.OutputConfig.Builder	clearGcsDestination() The Cloud Storage location of the directory where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
BatchPredictionJob.OutputConfig.Builder	clearPredictionsFormat() Required.
BatchPredictionJob.OutputConfig.Builder	clone()
BigQueryDestination	getBigqueryDestination() The BigQuery project or dataset location where the output is to be written to.
BigQueryDestination.Builder	getBigqueryDestinationBuilder() The BigQuery project or dataset location where the output is to be written to.
BigQueryDestinationOrBuilder	getBigqueryDestinationOrBuilder() The BigQuery project or dataset location where the output is to be written to.
BatchPredictionJob.OutputConfig	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
BatchPredictionJob.OutputConfig.DestinationCase	getDestinationCase()
GcsDestination	getGcsDestination() The Cloud Storage location of the directory where the output is to be written to.
GcsDestination.Builder	getGcsDestinationBuilder() The Cloud Storage location of the directory where the output is to be written to.
GcsDestinationOrBuilder	getGcsDestinationOrBuilder() The Cloud Storage location of the directory where the output is to be written to.
String	getPredictionsFormat() Required.
com.google.protobuf.ByteString	getPredictionsFormatBytes() Required.
boolean	hasBigqueryDestination() The BigQuery project or dataset location where the output is to be written to.
boolean	hasGcsDestination() The Cloud Storage location of the directory where the output is to be written to.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
BatchPredictionJob.OutputConfig.Builder	mergeBigqueryDestination(BigQueryDestination value) The BigQuery project or dataset location where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	mergeFrom(BatchPredictionJob.OutputConfig other)
BatchPredictionJob.OutputConfig.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
BatchPredictionJob.OutputConfig.Builder	mergeFrom(com.google.protobuf.Message other)
BatchPredictionJob.OutputConfig.Builder	mergeGcsDestination(GcsDestination value) The Cloud Storage location of the directory where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
BatchPredictionJob.OutputConfig.Builder	setBigqueryDestination(BigQueryDestination.Builder builderForValue) The BigQuery project or dataset location where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	setBigqueryDestination(BigQueryDestination value) The BigQuery project or dataset location where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
BatchPredictionJob.OutputConfig.Builder	setGcsDestination(GcsDestination.Builder builderForValue) The Cloud Storage location of the directory where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	setGcsDestination(GcsDestination value) The Cloud Storage location of the directory where the output is to be written to.
BatchPredictionJob.OutputConfig.Builder	setPredictionsFormat(String value) Required.
BatchPredictionJob.OutputConfig.Builder	setPredictionsFormatBytes(com.google.protobuf.ByteString value) Required.
BatchPredictionJob.OutputConfig.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
BatchPredictionJob.OutputConfig.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, 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, newUninitializedMessageException

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

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

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

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

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

clear

public BatchPredictionJob.OutputConfig.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.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.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.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

getDefaultInstanceForType

public BatchPredictionJob.OutputConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public BatchPredictionJob.OutputConfig build()

Specified by:

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

Specified by:

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

buildPartial

public BatchPredictionJob.OutputConfig buildPartial()

Specified by:

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

Specified by:

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

clone

public BatchPredictionJob.OutputConfig.Builder clone()

Specified by:

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

Specified by:

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

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

setField

public BatchPredictionJob.OutputConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                        Object value)

Specified by:

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

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

clearField

public BatchPredictionJob.OutputConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

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

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

clearOneof

public BatchPredictionJob.OutputConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

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

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

setRepeatedField

public BatchPredictionJob.OutputConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                int index,
                                                                Object value)

Specified by:

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

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

addRepeatedField

public BatchPredictionJob.OutputConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                Object value)

Specified by:

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

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

mergeFrom

public BatchPredictionJob.OutputConfig.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<BatchPredictionJob.OutputConfig.Builder>

mergeFrom

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

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

mergeFrom

public BatchPredictionJob.OutputConfig.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<BatchPredictionJob.OutputConfig.Builder>

Throws:

IOException

getDestinationCase

public BatchPredictionJob.OutputConfig.DestinationCase getDestinationCase()

Specified by:

getDestinationCase in interface BatchPredictionJob.OutputConfigOrBuilder

clearDestination

public BatchPredictionJob.OutputConfig.Builder clearDestination()

hasGcsDestination

public boolean hasGcsDestination()

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

Specified by:

hasGcsDestination in interface BatchPredictionJob.OutputConfigOrBuilder

Returns:

Whether the gcsDestination field is set.

getGcsDestination

public GcsDestination getGcsDestination()

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

Specified by:

getGcsDestination in interface BatchPredictionJob.OutputConfigOrBuilder

Returns:

The gcsDestination.

setGcsDestination

public BatchPredictionJob.OutputConfig.Builder setGcsDestination(GcsDestination value)

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

setGcsDestination

public BatchPredictionJob.OutputConfig.Builder setGcsDestination(GcsDestination.Builder builderForValue)

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

mergeGcsDestination

public BatchPredictionJob.OutputConfig.Builder mergeGcsDestination(GcsDestination value)

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

clearGcsDestination

public BatchPredictionJob.OutputConfig.Builder clearGcsDestination()

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

getGcsDestinationBuilder

public GcsDestination.Builder getGcsDestinationBuilder()

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

getGcsDestinationOrBuilder

public GcsDestinationOrBuilder getGcsDestinationOrBuilder()

 The Cloud Storage location of the directory where the output is
 to be written to. In the given directory a new directory is created.
 Its name is `prediction-<model-display-name>-<job-create-time>`,
 where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format.
 Inside of it files `predictions_0001.<extension>`,
 `predictions_0002.<extension>`, ..., `predictions_N.<extension>`
 are created where `<extension>` depends on chosen
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format],
 and N may equal 0001 and depends on the total number of successfully
 predicted instances. If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then each such file contains predictions as per the
 [predictions_format][google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig.predictions_format].
 If prediction for any instance failed (partially or completely), then
 an additional `errors_0001.<extension>`, `errors_0002.<extension>`,...,
 `errors_N.<extension>` files are created (N depends on total number
 of failed predictions). These files contain the failed instances,
 as per their schema, followed by an additional `error` field which as
 value has [google.rpc.Status][google.rpc.Status]
 containing only `code` and `message` fields.
 

.google.cloud.aiplatform.v1.GcsDestination gcs_destination = 2;

Specified by:

getGcsDestinationOrBuilder in interface BatchPredictionJob.OutputConfigOrBuilder

hasBigqueryDestination

public boolean hasBigqueryDestination()

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

Specified by:

hasBigqueryDestination in interface BatchPredictionJob.OutputConfigOrBuilder

Returns:

Whether the bigqueryDestination field is set.

getBigqueryDestination

public BigQueryDestination getBigqueryDestination()

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

Specified by:

getBigqueryDestination in interface BatchPredictionJob.OutputConfigOrBuilder

Returns:

The bigqueryDestination.

setBigqueryDestination

public BatchPredictionJob.OutputConfig.Builder setBigqueryDestination(BigQueryDestination value)

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

setBigqueryDestination

public BatchPredictionJob.OutputConfig.Builder setBigqueryDestination(BigQueryDestination.Builder builderForValue)

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

mergeBigqueryDestination

public BatchPredictionJob.OutputConfig.Builder mergeBigqueryDestination(BigQueryDestination value)

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

clearBigqueryDestination

public BatchPredictionJob.OutputConfig.Builder clearBigqueryDestination()

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

getBigqueryDestinationBuilder

public BigQueryDestination.Builder getBigqueryDestinationBuilder()

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

getBigqueryDestinationOrBuilder

public BigQueryDestinationOrBuilder getBigqueryDestinationOrBuilder()

 The BigQuery project or dataset location where the output is to be
 written to. If project is provided, a new dataset is created with name
 `prediction_<model-display-name>_<job-create-time>`
 where <model-display-name> is made
 BigQuery-dataset-name compatible (for example, most special characters
 become underscores), and timestamp is in
 YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In the dataset
 two tables will be created, `predictions`, and `errors`.
 If the Model has both
 [instance][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri]
 schemata defined then the tables have columns as follows: The
 `predictions` table contains instances for which the prediction
 succeeded, it has columns as per a concatenation of the Model's
 instance and prediction schemata. The `errors` table contains rows for
 which the prediction has failed, it has instance columns, as per the
 instance schema, followed by a single "errors" column, which as values
 has [google.rpc.Status][google.rpc.Status]
 represented as a STRUCT, and containing only `code` and `message`.
 

.google.cloud.aiplatform.v1.BigQueryDestination bigquery_destination = 3;

Specified by:

getBigqueryDestinationOrBuilder in interface BatchPredictionJob.OutputConfigOrBuilder

getPredictionsFormat

public String getPredictionsFormat()

 Required. The format in which Vertex AI gives the predictions, must be
 one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
 [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
 

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

Specified by:

getPredictionsFormat in interface BatchPredictionJob.OutputConfigOrBuilder

Returns:

The predictionsFormat.

getPredictionsFormatBytes

public com.google.protobuf.ByteString getPredictionsFormatBytes()

 Required. The format in which Vertex AI gives the predictions, must be
 one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
 [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
 

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

Specified by:

getPredictionsFormatBytes in interface BatchPredictionJob.OutputConfigOrBuilder

Returns:

The bytes for predictionsFormat.

setPredictionsFormat

public BatchPredictionJob.OutputConfig.Builder setPredictionsFormat(String value)

 Required. The format in which Vertex AI gives the predictions, must be
 one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
 [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
 

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

Parameters:

value - The predictionsFormat to set.

Returns:

This builder for chaining.

clearPredictionsFormat

public BatchPredictionJob.OutputConfig.Builder clearPredictionsFormat()

 Required. The format in which Vertex AI gives the predictions, must be
 one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
 [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
 

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

Returns:

This builder for chaining.

setPredictionsFormatBytes

public BatchPredictionJob.OutputConfig.Builder setPredictionsFormatBytes(com.google.protobuf.ByteString value)

 Required. The format in which Vertex AI gives the predictions, must be
 one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
 [supported_output_storage_formats][google.cloud.aiplatform.v1.Model.supported_output_storage_formats].
 

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

Parameters:

value - The bytes for predictionsFormat to set.

Returns:

This builder for chaining.

setUnknownFields

public final BatchPredictionJob.OutputConfig.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

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

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>

mergeUnknownFields

public final BatchPredictionJob.OutputConfig.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

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

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.OutputConfig.Builder>