com.google.cloud.aiplatform.v1beta1

Class TrainingPipeline.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

com.google.protobuf.GeneratedMessageV3.Builder<TrainingPipeline.Builder>

com.google.cloud.aiplatform.v1beta1.TrainingPipeline.Builder

All Implemented Interfaces:

TrainingPipelineOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

TrainingPipeline

public static final class TrainingPipeline.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<TrainingPipeline.Builder>
implements TrainingPipelineOrBuilder

 The TrainingPipeline orchestrates tasks associated with training a Model. It
 always executes the training task, and optionally may also
 export data from Vertex AI's Dataset which becomes the training input,
 [upload][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] the Model
 to Vertex AI, and evaluate the Model.
 

Protobuf type google.cloud.aiplatform.v1beta1.TrainingPipeline

Method Summary

Modifier and Type	Method and Description
TrainingPipeline.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
TrainingPipeline	build()
TrainingPipeline	buildPartial()
TrainingPipeline.Builder	clear()
TrainingPipeline.Builder	clearCreateTime() Output only.
TrainingPipeline.Builder	clearDisplayName() Required.
TrainingPipeline.Builder	clearEncryptionSpec() Customer-managed encryption key spec for a TrainingPipeline.
TrainingPipeline.Builder	clearEndTime() Output only.
TrainingPipeline.Builder	clearError() Output only.
TrainingPipeline.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
TrainingPipeline.Builder	clearInputDataConfig() Specifies Vertex AI owned input data that may be used for training the Model.
TrainingPipeline.Builder	clearLabels()
TrainingPipeline.Builder	clearModelId() Optional.
TrainingPipeline.Builder	clearModelToUpload() Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
TrainingPipeline.Builder	clearName() Output only.
TrainingPipeline.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
TrainingPipeline.Builder	clearParentModel() Optional.
TrainingPipeline.Builder	clearStartTime() Output only.
TrainingPipeline.Builder	clearState() Output only.
TrainingPipeline.Builder	clearTrainingTaskDefinition() Required.
TrainingPipeline.Builder	clearTrainingTaskInputs() Required.
TrainingPipeline.Builder	clearTrainingTaskMetadata() Output only.
TrainingPipeline.Builder	clearUpdateTime() Output only.
TrainingPipeline.Builder	clone()
boolean	containsLabels(String key) The labels with user-defined metadata to organize TrainingPipelines.
com.google.protobuf.Timestamp	getCreateTime() Output only.
com.google.protobuf.Timestamp.Builder	getCreateTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getCreateTimeOrBuilder() Output only.
TrainingPipeline	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
String	getDisplayName() Required.
com.google.protobuf.ByteString	getDisplayNameBytes() Required.
EncryptionSpec	getEncryptionSpec() Customer-managed encryption key spec for a TrainingPipeline.
EncryptionSpec.Builder	getEncryptionSpecBuilder() Customer-managed encryption key spec for a TrainingPipeline.
EncryptionSpecOrBuilder	getEncryptionSpecOrBuilder() Customer-managed encryption key spec for a TrainingPipeline.
com.google.protobuf.Timestamp	getEndTime() Output only.
com.google.protobuf.Timestamp.Builder	getEndTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getEndTimeOrBuilder() Output only.
com.google.rpc.Status	getError() Output only.
com.google.rpc.Status.Builder	getErrorBuilder() Output only.
com.google.rpc.StatusOrBuilder	getErrorOrBuilder() Output only.
InputDataConfig	getInputDataConfig() Specifies Vertex AI owned input data that may be used for training the Model.
InputDataConfig.Builder	getInputDataConfigBuilder() Specifies Vertex AI owned input data that may be used for training the Model.
InputDataConfigOrBuilder	getInputDataConfigOrBuilder() Specifies Vertex AI owned input data that may be used for training the Model.
Map<String,String>	getLabels() Deprecated.
int	getLabelsCount() The labels with user-defined metadata to organize TrainingPipelines.
Map<String,String>	getLabelsMap() The labels with user-defined metadata to organize TrainingPipelines.
String	getLabelsOrDefault(String key, String defaultValue) The labels with user-defined metadata to organize TrainingPipelines.
String	getLabelsOrThrow(String key) The labels with user-defined metadata to organize TrainingPipelines.
String	getModelId() Optional.
com.google.protobuf.ByteString	getModelIdBytes() Optional.
Model	getModelToUpload() Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
Model.Builder	getModelToUploadBuilder() Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
ModelOrBuilder	getModelToUploadOrBuilder() Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
Map<String,String>	getMutableLabels() Deprecated.
String	getName() Output only.
com.google.protobuf.ByteString	getNameBytes() Output only.
String	getParentModel() Optional.
com.google.protobuf.ByteString	getParentModelBytes() Optional.
com.google.protobuf.Timestamp	getStartTime() Output only.
com.google.protobuf.Timestamp.Builder	getStartTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getStartTimeOrBuilder() Output only.
PipelineState	getState() Output only.
int	getStateValue() Output only.
String	getTrainingTaskDefinition() Required.
com.google.protobuf.ByteString	getTrainingTaskDefinitionBytes() Required.
com.google.protobuf.Value	getTrainingTaskInputs() Required.
com.google.protobuf.Value.Builder	getTrainingTaskInputsBuilder() Required.
com.google.protobuf.ValueOrBuilder	getTrainingTaskInputsOrBuilder() Required.
com.google.protobuf.Value	getTrainingTaskMetadata() Output only.
com.google.protobuf.Value.Builder	getTrainingTaskMetadataBuilder() Output only.
com.google.protobuf.ValueOrBuilder	getTrainingTaskMetadataOrBuilder() Output only.
com.google.protobuf.Timestamp	getUpdateTime() Output only.
com.google.protobuf.Timestamp.Builder	getUpdateTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getUpdateTimeOrBuilder() Output only.
boolean	hasCreateTime() Output only.
boolean	hasEncryptionSpec() Customer-managed encryption key spec for a TrainingPipeline.
boolean	hasEndTime() Output only.
boolean	hasError() Output only.
boolean	hasInputDataConfig() Specifies Vertex AI owned input data that may be used for training the Model.
boolean	hasModelToUpload() Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
boolean	hasStartTime() Output only.
boolean	hasTrainingTaskInputs() Required.
boolean	hasTrainingTaskMetadata() Output only.
boolean	hasUpdateTime() Output only.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMapFieldReflection(int number)
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMutableMapFieldReflection(int number)
boolean	isInitialized()
TrainingPipeline.Builder	mergeCreateTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	mergeEncryptionSpec(EncryptionSpec value) Customer-managed encryption key spec for a TrainingPipeline.
TrainingPipeline.Builder	mergeEndTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	mergeError(com.google.rpc.Status value) Output only.
TrainingPipeline.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TrainingPipeline.Builder	mergeFrom(com.google.protobuf.Message other)
TrainingPipeline.Builder	mergeFrom(TrainingPipeline other)
TrainingPipeline.Builder	mergeInputDataConfig(InputDataConfig value) Specifies Vertex AI owned input data that may be used for training the Model.
TrainingPipeline.Builder	mergeModelToUpload(Model value) Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
TrainingPipeline.Builder	mergeStartTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	mergeTrainingTaskInputs(com.google.protobuf.Value value) Required.
TrainingPipeline.Builder	mergeTrainingTaskMetadata(com.google.protobuf.Value value) Output only.
TrainingPipeline.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
TrainingPipeline.Builder	mergeUpdateTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	putAllLabels(Map<String,String> values) The labels with user-defined metadata to organize TrainingPipelines.
TrainingPipeline.Builder	putLabels(String key, String value) The labels with user-defined metadata to organize TrainingPipelines.
TrainingPipeline.Builder	removeLabels(String key) The labels with user-defined metadata to organize TrainingPipelines.
TrainingPipeline.Builder	setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
TrainingPipeline.Builder	setCreateTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	setDisplayName(String value) Required.
TrainingPipeline.Builder	setDisplayNameBytes(com.google.protobuf.ByteString value) Required.
TrainingPipeline.Builder	setEncryptionSpec(EncryptionSpec.Builder builderForValue) Customer-managed encryption key spec for a TrainingPipeline.
TrainingPipeline.Builder	setEncryptionSpec(EncryptionSpec value) Customer-managed encryption key spec for a TrainingPipeline.
TrainingPipeline.Builder	setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
TrainingPipeline.Builder	setEndTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	setError(com.google.rpc.Status.Builder builderForValue) Output only.
TrainingPipeline.Builder	setError(com.google.rpc.Status value) Output only.
TrainingPipeline.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
TrainingPipeline.Builder	setInputDataConfig(InputDataConfig.Builder builderForValue) Specifies Vertex AI owned input data that may be used for training the Model.
TrainingPipeline.Builder	setInputDataConfig(InputDataConfig value) Specifies Vertex AI owned input data that may be used for training the Model.
TrainingPipeline.Builder	setModelId(String value) Optional.
TrainingPipeline.Builder	setModelIdBytes(com.google.protobuf.ByteString value) Optional.
TrainingPipeline.Builder	setModelToUpload(Model.Builder builderForValue) Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
TrainingPipeline.Builder	setModelToUpload(Model value) Describes the Model that may be uploaded (via [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel]) by this TrainingPipeline.
TrainingPipeline.Builder	setName(String value) Output only.
TrainingPipeline.Builder	setNameBytes(com.google.protobuf.ByteString value) Output only.
TrainingPipeline.Builder	setParentModel(String value) Optional.
TrainingPipeline.Builder	setParentModelBytes(com.google.protobuf.ByteString value) Optional.
TrainingPipeline.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
TrainingPipeline.Builder	setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
TrainingPipeline.Builder	setStartTime(com.google.protobuf.Timestamp value) Output only.
TrainingPipeline.Builder	setState(PipelineState value) Output only.
TrainingPipeline.Builder	setStateValue(int value) Output only.
TrainingPipeline.Builder	setTrainingTaskDefinition(String value) Required.
TrainingPipeline.Builder	setTrainingTaskDefinitionBytes(com.google.protobuf.ByteString value) Required.
TrainingPipeline.Builder	setTrainingTaskInputs(com.google.protobuf.Value.Builder builderForValue) Required.
TrainingPipeline.Builder	setTrainingTaskInputs(com.google.protobuf.Value value) Required.
TrainingPipeline.Builder	setTrainingTaskMetadata(com.google.protobuf.Value.Builder builderForValue) Output only.
TrainingPipeline.Builder	setTrainingTaskMetadata(com.google.protobuf.Value value) Output only.
TrainingPipeline.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
TrainingPipeline.Builder	setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
TrainingPipeline.Builder	setUpdateTime(com.google.protobuf.Timestamp value) Output only.

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

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, 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()

internalGetMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Overrides:

internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<TrainingPipeline.Builder>

internalGetMutableMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Overrides:

internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<TrainingPipeline.Builder>

internalGetFieldAccessorTable

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

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<TrainingPipeline.Builder>

clear

public TrainingPipeline.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<TrainingPipeline.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<TrainingPipeline.Builder>

getDefaultInstanceForType

public TrainingPipeline getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public TrainingPipeline build()

Specified by:

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

Specified by:

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

buildPartial

public TrainingPipeline buildPartial()

Specified by:

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

Specified by:

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

clone

public TrainingPipeline.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<TrainingPipeline.Builder>

setField

public TrainingPipeline.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<TrainingPipeline.Builder>

clearField

public TrainingPipeline.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<TrainingPipeline.Builder>

clearOneof

public TrainingPipeline.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<TrainingPipeline.Builder>

setRepeatedField

public TrainingPipeline.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<TrainingPipeline.Builder>

addRepeatedField

public TrainingPipeline.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<TrainingPipeline.Builder>

mergeFrom

public TrainingPipeline.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<TrainingPipeline.Builder>

mergeFrom

public TrainingPipeline.Builder mergeFrom(TrainingPipeline other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<TrainingPipeline.Builder>

mergeFrom

public TrainingPipeline.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<TrainingPipeline.Builder>

Throws:

IOException

getName

public String getName()

 Output only. Resource name of the TrainingPipeline.
 

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getName in interface TrainingPipelineOrBuilder

Returns:

The name.

getNameBytes

public com.google.protobuf.ByteString getNameBytes()

 Output only. Resource name of the TrainingPipeline.
 

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getNameBytes in interface TrainingPipelineOrBuilder

Returns:

The bytes for name.

setName

public TrainingPipeline.Builder setName(String value)

 Output only. Resource name of the TrainingPipeline.
 

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:

value - The name to set.

Returns:

This builder for chaining.

clearName

public TrainingPipeline.Builder clearName()

 Output only. Resource name of the TrainingPipeline.
 

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

This builder for chaining.

setNameBytes

public TrainingPipeline.Builder setNameBytes(com.google.protobuf.ByteString value)

 Output only. Resource name of the TrainingPipeline.
 

string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:

value - The bytes for name to set.

Returns:

This builder for chaining.

getDisplayName

public String getDisplayName()

 Required. The user-defined name of this TrainingPipeline.
 

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getDisplayName in interface TrainingPipelineOrBuilder

Returns:

The displayName.

getDisplayNameBytes

public com.google.protobuf.ByteString getDisplayNameBytes()

 Required. The user-defined name of this TrainingPipeline.
 

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getDisplayNameBytes in interface TrainingPipelineOrBuilder

Returns:

The bytes for displayName.

setDisplayName

public TrainingPipeline.Builder setDisplayName(String value)

 Required. The user-defined name of this TrainingPipeline.
 

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters:

value - The displayName to set.

Returns:

This builder for chaining.

clearDisplayName

public TrainingPipeline.Builder clearDisplayName()

 Required. The user-defined name of this TrainingPipeline.
 

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Returns:

This builder for chaining.

setDisplayNameBytes

public TrainingPipeline.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)

 Required. The user-defined name of this TrainingPipeline.
 

string display_name = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters:

value - The bytes for displayName to set.

Returns:

This builder for chaining.

hasInputDataConfig

public boolean hasInputDataConfig()

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

Specified by:

hasInputDataConfig in interface TrainingPipelineOrBuilder

Returns:

Whether the inputDataConfig field is set.

getInputDataConfig

public InputDataConfig getInputDataConfig()

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

Specified by:

getInputDataConfig in interface TrainingPipelineOrBuilder

Returns:

The inputDataConfig.

setInputDataConfig

public TrainingPipeline.Builder setInputDataConfig(InputDataConfig value)

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

setInputDataConfig

public TrainingPipeline.Builder setInputDataConfig(InputDataConfig.Builder builderForValue)

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

mergeInputDataConfig

public TrainingPipeline.Builder mergeInputDataConfig(InputDataConfig value)

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

clearInputDataConfig

public TrainingPipeline.Builder clearInputDataConfig()

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

getInputDataConfigBuilder

public InputDataConfig.Builder getInputDataConfigBuilder()

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

getInputDataConfigOrBuilder

public InputDataConfigOrBuilder getInputDataConfigOrBuilder()

 Specifies Vertex AI owned input data that may be used for training the
 Model. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this config is used and if there are any special
 requirements on how it should be filled. If nothing about this config is
 mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that the TrainingPipeline does not depend on this
 configuration.
 

.google.cloud.aiplatform.v1beta1.InputDataConfig input_data_config = 3;

Specified by:

getInputDataConfigOrBuilder in interface TrainingPipelineOrBuilder

getTrainingTaskDefinition

public String getTrainingTaskDefinition()

 Required. A Google Cloud Storage path to the YAML file that defines the
 training task which is responsible for producing the model artifact, and
 may also include additional auxiliary work. The definition files that can
 be used here are found in
 gs://google-cloud-aiplatform/schema/trainingjob/definition/.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.
 

string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getTrainingTaskDefinition in interface TrainingPipelineOrBuilder

Returns:

The trainingTaskDefinition.

getTrainingTaskDefinitionBytes

public com.google.protobuf.ByteString getTrainingTaskDefinitionBytes()

 Required. A Google Cloud Storage path to the YAML file that defines the
 training task which is responsible for producing the model artifact, and
 may also include additional auxiliary work. The definition files that can
 be used here are found in
 gs://google-cloud-aiplatform/schema/trainingjob/definition/.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.
 

string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getTrainingTaskDefinitionBytes in interface TrainingPipelineOrBuilder

Returns:

The bytes for trainingTaskDefinition.

setTrainingTaskDefinition

public TrainingPipeline.Builder setTrainingTaskDefinition(String value)

 Required. A Google Cloud Storage path to the YAML file that defines the
 training task which is responsible for producing the model artifact, and
 may also include additional auxiliary work. The definition files that can
 be used here are found in
 gs://google-cloud-aiplatform/schema/trainingjob/definition/.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.
 

string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];

Parameters:

value - The trainingTaskDefinition to set.

Returns:

This builder for chaining.

clearTrainingTaskDefinition

public TrainingPipeline.Builder clearTrainingTaskDefinition()

 Required. A Google Cloud Storage path to the YAML file that defines the
 training task which is responsible for producing the model artifact, and
 may also include additional auxiliary work. The definition files that can
 be used here are found in
 gs://google-cloud-aiplatform/schema/trainingjob/definition/.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.
 

string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];

Returns:

This builder for chaining.

setTrainingTaskDefinitionBytes

public TrainingPipeline.Builder setTrainingTaskDefinitionBytes(com.google.protobuf.ByteString value)

 Required. A Google Cloud Storage path to the YAML file that defines the
 training task which is responsible for producing the model artifact, and
 may also include additional auxiliary work. The definition files that can
 be used here are found in
 gs://google-cloud-aiplatform/schema/trainingjob/definition/.
 Note: The URI given on output will be immutable and probably different,
 including the URI scheme, than the one given on input. The output URI will
 point to a location where the user only has a read access.
 

string training_task_definition = 4 [(.google.api.field_behavior) = REQUIRED];

Parameters:

value - The bytes for trainingTaskDefinition to set.

Returns:

This builder for chaining.

hasTrainingTaskInputs

public boolean hasTrainingTaskInputs()

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

Specified by:

hasTrainingTaskInputs in interface TrainingPipelineOrBuilder

Returns:

Whether the trainingTaskInputs field is set.

getTrainingTaskInputs

public com.google.protobuf.Value getTrainingTaskInputs()

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getTrainingTaskInputs in interface TrainingPipelineOrBuilder

Returns:

The trainingTaskInputs.

setTrainingTaskInputs

public TrainingPipeline.Builder setTrainingTaskInputs(com.google.protobuf.Value value)

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

setTrainingTaskInputs

public TrainingPipeline.Builder setTrainingTaskInputs(com.google.protobuf.Value.Builder builderForValue)

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

mergeTrainingTaskInputs

public TrainingPipeline.Builder mergeTrainingTaskInputs(com.google.protobuf.Value value)

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

clearTrainingTaskInputs

public TrainingPipeline.Builder clearTrainingTaskInputs()

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

getTrainingTaskInputsBuilder

public com.google.protobuf.Value.Builder getTrainingTaskInputsBuilder()

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

getTrainingTaskInputsOrBuilder

public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder()

 Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `inputs`.
 

.google.protobuf.Value training_task_inputs = 5 [(.google.api.field_behavior) = REQUIRED];

Specified by:

getTrainingTaskInputsOrBuilder in interface TrainingPipelineOrBuilder

hasTrainingTaskMetadata

public boolean hasTrainingTaskMetadata()

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasTrainingTaskMetadata in interface TrainingPipelineOrBuilder

Returns:

Whether the trainingTaskMetadata field is set.

getTrainingTaskMetadata

public com.google.protobuf.Value getTrainingTaskMetadata()

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getTrainingTaskMetadata in interface TrainingPipelineOrBuilder

Returns:

The trainingTaskMetadata.

setTrainingTaskMetadata

public TrainingPipeline.Builder setTrainingTaskMetadata(com.google.protobuf.Value value)

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

setTrainingTaskMetadata

public TrainingPipeline.Builder setTrainingTaskMetadata(com.google.protobuf.Value.Builder builderForValue)

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeTrainingTaskMetadata

public TrainingPipeline.Builder mergeTrainingTaskMetadata(com.google.protobuf.Value value)

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearTrainingTaskMetadata

public TrainingPipeline.Builder clearTrainingTaskMetadata()

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

getTrainingTaskMetadataBuilder

public com.google.protobuf.Value.Builder getTrainingTaskMetadataBuilder()

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

getTrainingTaskMetadataOrBuilder

public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder()

 Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]'s
 `metadata`. This metadata is an auxiliary runtime and final information
 about the training task. While the pipeline is running this information is
 populated only at a best effort basis. Only present if the
 pipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 contains `metadata` object.
 

.google.protobuf.Value training_task_metadata = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getTrainingTaskMetadataOrBuilder in interface TrainingPipelineOrBuilder

hasModelToUpload

public boolean hasModelToUpload()

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

Specified by:

hasModelToUpload in interface TrainingPipelineOrBuilder

Returns:

Whether the modelToUpload field is set.

getModelToUpload

public Model getModelToUpload()

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

Specified by:

getModelToUpload in interface TrainingPipelineOrBuilder

Returns:

The modelToUpload.

setModelToUpload

public TrainingPipeline.Builder setModelToUpload(Model value)

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

setModelToUpload

public TrainingPipeline.Builder setModelToUpload(Model.Builder builderForValue)

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

mergeModelToUpload

public TrainingPipeline.Builder mergeModelToUpload(Model value)

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

clearModelToUpload

public TrainingPipeline.Builder clearModelToUpload()

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

getModelToUploadBuilder

public Model.Builder getModelToUploadBuilder()

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

getModelToUploadOrBuilder

public ModelOrBuilder getModelToUploadOrBuilder()

 Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition]
 should make clear whether this Model description should be populated, and
 if there are any special requirements regarding how it should be filled. If
 nothing is mentioned in the
 [training_task_definition][google.cloud.aiplatform.v1beta1.TrainingPipeline.training_task_definition],
 then it should be assumed that this field should not be filled and the
 training task either uploads the Model without a need of this information,
 or that training task does not support uploading a Model as part of the
 pipeline. When the Pipeline's state becomes `PIPELINE_STATE_SUCCEEDED` and
 the trained Model had been uploaded into Vertex AI, then the
 model_to_upload's resource
 [name][google.cloud.aiplatform.v1beta1.Model.name] is populated. The Model
 is always uploaded into the Project and Location in which this pipeline
 is.
 

.google.cloud.aiplatform.v1beta1.Model model_to_upload = 7;

Specified by:

getModelToUploadOrBuilder in interface TrainingPipelineOrBuilder

getModelId

public String getModelId()

 Optional. The ID to use for the uploaded Model, which will become the final
 component of the model resource name.

 This value may be up to 63 characters, and valid characters are
 `[a-z0-9_-]`. The first character cannot be a number or hyphen.
 

string model_id = 22 [(.google.api.field_behavior) = OPTIONAL];

Specified by:

getModelId in interface TrainingPipelineOrBuilder

Returns:

The modelId.

getModelIdBytes

public com.google.protobuf.ByteString getModelIdBytes()

 Optional. The ID to use for the uploaded Model, which will become the final
 component of the model resource name.

 This value may be up to 63 characters, and valid characters are
 `[a-z0-9_-]`. The first character cannot be a number or hyphen.
 

string model_id = 22 [(.google.api.field_behavior) = OPTIONAL];

Specified by:

getModelIdBytes in interface TrainingPipelineOrBuilder

Returns:

The bytes for modelId.

setModelId

public TrainingPipeline.Builder setModelId(String value)

 Optional. The ID to use for the uploaded Model, which will become the final
 component of the model resource name.

 This value may be up to 63 characters, and valid characters are
 `[a-z0-9_-]`. The first character cannot be a number or hyphen.
 

string model_id = 22 [(.google.api.field_behavior) = OPTIONAL];

Parameters:

value - The modelId to set.

Returns:

This builder for chaining.

clearModelId

public TrainingPipeline.Builder clearModelId()

 Optional. The ID to use for the uploaded Model, which will become the final
 component of the model resource name.

 This value may be up to 63 characters, and valid characters are
 `[a-z0-9_-]`. The first character cannot be a number or hyphen.
 

string model_id = 22 [(.google.api.field_behavior) = OPTIONAL];

Returns:

This builder for chaining.

setModelIdBytes

public TrainingPipeline.Builder setModelIdBytes(com.google.protobuf.ByteString value)

 Optional. The ID to use for the uploaded Model, which will become the final
 component of the model resource name.

 This value may be up to 63 characters, and valid characters are
 `[a-z0-9_-]`. The first character cannot be a number or hyphen.
 

string model_id = 22 [(.google.api.field_behavior) = OPTIONAL];

Parameters:

value - The bytes for modelId to set.

Returns:

This builder for chaining.

getParentModel

public String getParentModel()

 Optional. When specify this field, the `model_to_upload` will not be
 uploaded as a new model, instead, it will become a new version of this
 `parent_model`.
 

string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];

Specified by:

getParentModel in interface TrainingPipelineOrBuilder

Returns:

The parentModel.

getParentModelBytes

public com.google.protobuf.ByteString getParentModelBytes()

 Optional. When specify this field, the `model_to_upload` will not be
 uploaded as a new model, instead, it will become a new version of this
 `parent_model`.
 

string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];

Specified by:

getParentModelBytes in interface TrainingPipelineOrBuilder

Returns:

The bytes for parentModel.

setParentModel

public TrainingPipeline.Builder setParentModel(String value)

 Optional. When specify this field, the `model_to_upload` will not be
 uploaded as a new model, instead, it will become a new version of this
 `parent_model`.
 

string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];

Parameters:

value - The parentModel to set.

Returns:

This builder for chaining.

clearParentModel

public TrainingPipeline.Builder clearParentModel()

 Optional. When specify this field, the `model_to_upload` will not be
 uploaded as a new model, instead, it will become a new version of this
 `parent_model`.
 

string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];

Returns:

This builder for chaining.

setParentModelBytes

public TrainingPipeline.Builder setParentModelBytes(com.google.protobuf.ByteString value)

 Optional. When specify this field, the `model_to_upload` will not be
 uploaded as a new model, instead, it will become a new version of this
 `parent_model`.
 

string parent_model = 21 [(.google.api.field_behavior) = OPTIONAL];

Parameters:

value - The bytes for parentModel to set.

Returns:

This builder for chaining.

getStateValue

public int getStateValue()

 Output only. The detailed state of the pipeline.
 

.google.cloud.aiplatform.v1beta1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getStateValue in interface TrainingPipelineOrBuilder

Returns:

The enum numeric value on the wire for state.

setStateValue

public TrainingPipeline.Builder setStateValue(int value)

 Output only. The detailed state of the pipeline.
 

.google.cloud.aiplatform.v1beta1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:

value - The enum numeric value on the wire for state to set.

Returns:

This builder for chaining.

getState

public PipelineState getState()

 Output only. The detailed state of the pipeline.
 

.google.cloud.aiplatform.v1beta1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getState in interface TrainingPipelineOrBuilder

Returns:

The state.

setState

public TrainingPipeline.Builder setState(PipelineState value)

 Output only. The detailed state of the pipeline.
 

.google.cloud.aiplatform.v1beta1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters:

value - The state to set.

Returns:

This builder for chaining.

clearState

public TrainingPipeline.Builder clearState()

 Output only. The detailed state of the pipeline.
 

.google.cloud.aiplatform.v1beta1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns:

This builder for chaining.

hasError

public boolean hasError()

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasError in interface TrainingPipelineOrBuilder

Returns:

Whether the error field is set.

getError

public com.google.rpc.Status getError()

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getError in interface TrainingPipelineOrBuilder

Returns:

The error.

setError

public TrainingPipeline.Builder setError(com.google.rpc.Status value)

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

setError

public TrainingPipeline.Builder setError(com.google.rpc.Status.Builder builderForValue)

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeError

public TrainingPipeline.Builder mergeError(com.google.rpc.Status value)

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearError

public TrainingPipeline.Builder clearError()

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

getErrorBuilder

public com.google.rpc.Status.Builder getErrorBuilder()

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

getErrorOrBuilder

public com.google.rpc.StatusOrBuilder getErrorOrBuilder()

 Output only. Only populated when the pipeline's state is
 `PIPELINE_STATE_FAILED` or `PIPELINE_STATE_CANCELLED`.
 

.google.rpc.Status error = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getErrorOrBuilder in interface TrainingPipelineOrBuilder

hasCreateTime

public boolean hasCreateTime()

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasCreateTime in interface TrainingPipelineOrBuilder

Returns:

Whether the createTime field is set.

getCreateTime

public com.google.protobuf.Timestamp getCreateTime()

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getCreateTime in interface TrainingPipelineOrBuilder

Returns:

The createTime.

setCreateTime

public TrainingPipeline.Builder setCreateTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

setCreateTime

public TrainingPipeline.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeCreateTime

public TrainingPipeline.Builder mergeCreateTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearCreateTime

public TrainingPipeline.Builder clearCreateTime()

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

getCreateTimeBuilder

public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

getCreateTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()

 Output only. Time when the TrainingPipeline was created.
 

.google.protobuf.Timestamp create_time = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getCreateTimeOrBuilder in interface TrainingPipelineOrBuilder

hasStartTime

public boolean hasStartTime()

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasStartTime in interface TrainingPipelineOrBuilder

Returns:

Whether the startTime field is set.

getStartTime

public com.google.protobuf.Timestamp getStartTime()

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getStartTime in interface TrainingPipelineOrBuilder

Returns:

The startTime.

setStartTime

public TrainingPipeline.Builder setStartTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

setStartTime

public TrainingPipeline.Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeStartTime

public TrainingPipeline.Builder mergeStartTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearStartTime

public TrainingPipeline.Builder clearStartTime()

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

getStartTimeBuilder

public com.google.protobuf.Timestamp.Builder getStartTimeBuilder()

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

getStartTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder()

 Output only. Time when the TrainingPipeline for the first time entered the
 `PIPELINE_STATE_RUNNING` state.
 

.google.protobuf.Timestamp start_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getStartTimeOrBuilder in interface TrainingPipelineOrBuilder

hasEndTime

public boolean hasEndTime()

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasEndTime in interface TrainingPipelineOrBuilder

Returns:

Whether the endTime field is set.

getEndTime

public com.google.protobuf.Timestamp getEndTime()

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getEndTime in interface TrainingPipelineOrBuilder

Returns:

The endTime.

setEndTime

public TrainingPipeline.Builder setEndTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

setEndTime

public TrainingPipeline.Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeEndTime

public TrainingPipeline.Builder mergeEndTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearEndTime

public TrainingPipeline.Builder clearEndTime()

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

getEndTimeBuilder

public com.google.protobuf.Timestamp.Builder getEndTimeBuilder()

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

getEndTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder()

 Output only. Time when the TrainingPipeline entered any of the following
 states: `PIPELINE_STATE_SUCCEEDED`, `PIPELINE_STATE_FAILED`,
 `PIPELINE_STATE_CANCELLED`.
 

.google.protobuf.Timestamp end_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getEndTimeOrBuilder in interface TrainingPipelineOrBuilder

hasUpdateTime

public boolean hasUpdateTime()

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

hasUpdateTime in interface TrainingPipelineOrBuilder

Returns:

Whether the updateTime field is set.

getUpdateTime

public com.google.protobuf.Timestamp getUpdateTime()

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getUpdateTime in interface TrainingPipelineOrBuilder

Returns:

The updateTime.

setUpdateTime

public TrainingPipeline.Builder setUpdateTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

setUpdateTime

public TrainingPipeline.Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

mergeUpdateTime

public TrainingPipeline.Builder mergeUpdateTime(com.google.protobuf.Timestamp value)

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

clearUpdateTime

public TrainingPipeline.Builder clearUpdateTime()

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

getUpdateTimeBuilder

public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder()

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

getUpdateTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()

 Output only. Time when the TrainingPipeline was most recently updated.
 

.google.protobuf.Timestamp update_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Specified by:

getUpdateTimeOrBuilder in interface TrainingPipelineOrBuilder

getLabelsCount

public int getLabelsCount()

Description copied from interface: TrainingPipelineOrBuilder

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

Specified by:

getLabelsCount in interface TrainingPipelineOrBuilder

containsLabels

public boolean containsLabels(String key)

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

Specified by:

containsLabels in interface TrainingPipelineOrBuilder

getLabels

@Deprecated
public Map<String,String> getLabels()

Deprecated.

Use getLabelsMap() instead.

Specified by:

getLabels in interface TrainingPipelineOrBuilder

getLabelsMap

public Map<String,String> getLabelsMap()

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

Specified by:

getLabelsMap in interface TrainingPipelineOrBuilder

getLabelsOrDefault

public String getLabelsOrDefault(String key,
                                 String defaultValue)

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

Specified by:

getLabelsOrDefault in interface TrainingPipelineOrBuilder

getLabelsOrThrow

public String getLabelsOrThrow(String key)

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

Specified by:

getLabelsOrThrow in interface TrainingPipelineOrBuilder

clearLabels

public TrainingPipeline.Builder clearLabels()

removeLabels

public TrainingPipeline.Builder removeLabels(String key)

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

getMutableLabels

@Deprecated
public Map<String,String> getMutableLabels()

Deprecated.

Use alternate mutation accessors instead.

putLabels

public TrainingPipeline.Builder putLabels(String key,
                                          String value)

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

putAllLabels

public TrainingPipeline.Builder putAllLabels(Map<String,String> values)

 The labels with user-defined metadata to organize TrainingPipelines.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
 

map<string, string> labels = 15;

hasEncryptionSpec

public boolean hasEncryptionSpec()

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

Specified by:

hasEncryptionSpec in interface TrainingPipelineOrBuilder

Returns:

Whether the encryptionSpec field is set.

getEncryptionSpec

public EncryptionSpec getEncryptionSpec()

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

Specified by:

getEncryptionSpec in interface TrainingPipelineOrBuilder

Returns:

The encryptionSpec.

setEncryptionSpec

public TrainingPipeline.Builder setEncryptionSpec(EncryptionSpec value)

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

setEncryptionSpec

public TrainingPipeline.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

mergeEncryptionSpec

public TrainingPipeline.Builder mergeEncryptionSpec(EncryptionSpec value)

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

clearEncryptionSpec

public TrainingPipeline.Builder clearEncryptionSpec()

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

getEncryptionSpecBuilder

public EncryptionSpec.Builder getEncryptionSpecBuilder()

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

getEncryptionSpecOrBuilder

public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()

 Customer-managed encryption key spec for a TrainingPipeline. If set, this
 TrainingPipeline will be secured by this key.

 Note: Model trained by this TrainingPipeline is also secured by this key if
 [model_to_upload][google.cloud.aiplatform.v1beta1.TrainingPipeline.encryption_spec]
 is not set separately.
 

.google.cloud.aiplatform.v1beta1.EncryptionSpec encryption_spec = 18;

Specified by:

getEncryptionSpecOrBuilder in interface TrainingPipelineOrBuilder

setUnknownFields

public final TrainingPipeline.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<TrainingPipeline.Builder>

mergeUnknownFields

public final TrainingPipeline.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<TrainingPipeline.Builder>