Package com.google.cloud.aiplatform.v1
Class BatchPredictionJob.InputConfig.Builder
java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder>
com.google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig.Builder
- All Implemented Interfaces:
BatchPredictionJob.InputConfigOrBuilder,com.google.protobuf.Message.Builder,com.google.protobuf.MessageLite.Builder,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,Cloneable
- Enclosing class:
- BatchPredictionJob.InputConfig
public static final class BatchPredictionJob.InputConfig.Builder
extends com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder>
implements BatchPredictionJob.InputConfigOrBuilder
Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1.BatchPredictionJob]. See [Model.supported_input_storage_formats][google.cloud.aiplatform.v1.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-
Method Summary
Modifier and TypeMethodDescriptionbuild()clear()The BigQuery location of the input table.The Cloud Storage location for the input instances.Required.A Vertex Managed Dataset.The BigQuery location of the input table.The BigQuery location of the input table.The BigQuery location of the input table.static final com.google.protobuf.Descriptors.Descriptorcom.google.protobuf.Descriptors.DescriptorThe Cloud Storage location for the input instances.The Cloud Storage location for the input instances.The Cloud Storage location for the input instances.Required.com.google.protobuf.ByteStringRequired.A Vertex Managed Dataset.A Vertex Managed Dataset.A Vertex Managed Dataset.booleanThe BigQuery location of the input table.booleanThe Cloud Storage location for the input instances.booleanA Vertex Managed Dataset.protected com.google.protobuf.GeneratedMessage.FieldAccessorTablefinal booleanThe BigQuery location of the input table.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) mergeFrom(com.google.protobuf.Message other) mergeGcsSource(GcsSource value) The Cloud Storage location for the input instances.A Vertex Managed Dataset.setBigquerySource(BigQuerySource value) The BigQuery location of the input table.setBigquerySource(BigQuerySource.Builder builderForValue) The BigQuery location of the input table.setGcsSource(GcsSource value) The Cloud Storage location for the input instances.setGcsSource(GcsSource.Builder builderForValue) The Cloud Storage location for the input instances.setInstancesFormat(String value) Required.setInstancesFormatBytes(com.google.protobuf.ByteString value) Required.A Vertex Managed Dataset.setVertexMultimodalDatasetSource(VertexMultimodalDatasetSource.Builder builderForValue) A Vertex Managed Dataset.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, setUnknownFieldsProto3Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringMethods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionMethods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFromMethods inherited from interface com.google.protobuf.MessageLite.Builder
mergeFromMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder>
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clear
- Specified by:
clearin interfacecom.google.protobuf.Message.Builder- Specified by:
clearin interfacecom.google.protobuf.MessageLite.Builder- Overrides:
clearin classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()- Specified by:
getDescriptorForTypein interfacecom.google.protobuf.Message.Builder- Specified by:
getDescriptorForTypein interfacecom.google.protobuf.MessageOrBuilder- Overrides:
getDescriptorForTypein classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder>
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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build
- Specified by:
buildin interfacecom.google.protobuf.Message.Builder- Specified by:
buildin interfacecom.google.protobuf.MessageLite.Builder
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buildPartial
- Specified by:
buildPartialin interfacecom.google.protobuf.Message.Builder- Specified by:
buildPartialin interfacecom.google.protobuf.MessageLite.Builder
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mergeFrom
- Specified by:
mergeFromin interfacecom.google.protobuf.Message.Builder- Overrides:
mergeFromin classcom.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.InputConfig.Builder>
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mergeFrom
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isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.InputConfig.Builder>
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mergeFrom
public BatchPredictionJob.InputConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Specified by:
mergeFromin interfacecom.google.protobuf.Message.Builder- Specified by:
mergeFromin interfacecom.google.protobuf.MessageLite.Builder- Overrides:
mergeFromin classcom.google.protobuf.AbstractMessage.Builder<BatchPredictionJob.InputConfig.Builder>- Throws:
IOException
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getSourceCase
- Specified by:
getSourceCasein interfaceBatchPredictionJob.InputConfigOrBuilder
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clearSource
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hasGcsSource
public boolean hasGcsSource()The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;- Specified by:
hasGcsSourcein interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- Whether the gcsSource field is set.
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getGcsSource
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;- Specified by:
getGcsSourcein interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- The gcsSource.
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setGcsSource
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2; -
setGcsSource
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2; -
mergeGcsSource
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2; -
clearGcsSource
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2; -
getGcsSourceBuilder
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2; -
getGcsSourceOrBuilder
The Cloud Storage location for the input instances.
.google.cloud.aiplatform.v1.GcsSource gcs_source = 2;- Specified by:
getGcsSourceOrBuilderin interfaceBatchPredictionJob.InputConfigOrBuilder
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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;- Specified by:
hasBigquerySourcein interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- Whether the bigquerySource field is set.
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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;- Specified by:
getBigquerySourcein interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- The bigquerySource.
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setBigquerySource
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; -
setBigquerySource
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; -
mergeBigquerySource
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; -
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; -
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; -
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;- Specified by:
getBigquerySourceOrBuilderin interfaceBatchPredictionJob.InputConfigOrBuilder
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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;- Specified by:
hasVertexMultimodalDatasetSourcein interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- Whether the vertexMultimodalDatasetSource field is set.
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getVertexMultimodalDatasetSource
A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.
.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;- Specified by:
getVertexMultimodalDatasetSourcein interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- The vertexMultimodalDatasetSource.
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setVertexMultimodalDatasetSource
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; -
setVertexMultimodalDatasetSource
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; -
mergeVertexMultimodalDatasetSource
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; -
clearVertexMultimodalDatasetSource
A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.
.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4; -
getVertexMultimodalDatasetSourceBuilder
A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.
.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4; -
getVertexMultimodalDatasetSourceOrBuilder
A Vertex Managed Dataset. Currently, only datasets of type Multimodal are supported.
.google.cloud.aiplatform.v1.VertexMultimodalDatasetSource vertex_multimodal_dataset_source = 4;- Specified by:
getVertexMultimodalDatasetSourceOrBuilderin interfaceBatchPredictionJob.InputConfigOrBuilder
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getInstancesFormat
Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];- Specified by:
getInstancesFormatin interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- The instancesFormat.
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getInstancesFormatBytes
public com.google.protobuf.ByteString getInstancesFormatBytes()Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];- Specified by:
getInstancesFormatBytesin interfaceBatchPredictionJob.InputConfigOrBuilder- Returns:
- The bytes for instancesFormat.
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setInstancesFormat
Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];- Parameters:
value- The instancesFormat to set.- Returns:
- This builder for chaining.
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clearInstancesFormat
Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];- Returns:
- This builder for chaining.
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setInstancesFormatBytes
public BatchPredictionJob.InputConfig.Builder setInstancesFormatBytes(com.google.protobuf.ByteString value) Required. The format in which instances are given, must be one of the [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model] [supported_input_storage_formats][google.cloud.aiplatform.v1.Model.supported_input_storage_formats].
string instances_format = 1 [(.google.api.field_behavior) = REQUIRED];- Parameters:
value- The bytes for instancesFormat to set.- Returns:
- This builder for chaining.
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