Class TrainingPipeline.Builder (3.42.0)

public static final class TrainingPipeline.Builder extends 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 the Model to Vertex AI, and evaluate the Model.

Protobuf type google.cloud.aiplatform.v1.TrainingPipeline

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TrainingPipeline.Builder

Implements

TrainingPipelineOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

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

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

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public TrainingPipeline.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public TrainingPipeline build()

Returns
Type	Description
`TrainingPipeline`

buildPartial()

public TrainingPipeline buildPartial()

Returns
Type	Description
`TrainingPipeline`

clear()

public TrainingPipeline.Builder clear()

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

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];

Returns
Type	Description
`TrainingPipeline.Builder`

clearDisplayName()

public TrainingPipeline.Builder clearDisplayName()

Required. The user-defined name of this TrainingPipeline.

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

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Returns
Type	Description
`TrainingPipeline.Builder`

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];

Returns
Type	Description
`TrainingPipeline.Builder`

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];

Returns
Type	Description
`TrainingPipeline.Builder`

clearField(Descriptors.FieldDescriptor field)

public TrainingPipeline.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

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 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, then it should be assumed that the TrainingPipeline does not depend on this configuration.

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Returns
Type	Description
`TrainingPipeline.Builder`

clearLabels()

public TrainingPipeline.Builder clearLabels()

Returns
Type	Description
`TrainingPipeline.Builder`

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
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

clearModelToUpload()

public TrainingPipeline.Builder clearModelToUpload()

Describes the Model that may be uploaded (via ModelService.UploadModel) by this TrainingPipeline. The TrainingPipeline's 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, 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 is populated. The Model is always uploaded into the Project and Location in which this pipeline is.

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Returns
Type	Description
`TrainingPipeline.Builder`

clearName()

public TrainingPipeline.Builder clearName()

Output only. Resource name of the TrainingPipeline.

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

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public TrainingPipeline.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

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
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

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];

Returns
Type	Description
`TrainingPipeline.Builder`

clearState()

public TrainingPipeline.Builder clearState()

Output only. The detailed state of the pipeline.

.google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`TrainingPipeline.Builder`	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
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

clearTrainingTaskInputs()

public TrainingPipeline.Builder clearTrainingTaskInputs()

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Returns
Type	Description
`TrainingPipeline.Builder`

clearTrainingTaskMetadata()

public TrainingPipeline.Builder clearTrainingTaskMetadata()

Output only. The metadata information as specified in the 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 contains metadata object.

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

Returns
Type	Description
`TrainingPipeline.Builder`

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];

Returns
Type	Description
`TrainingPipeline.Builder`

clone()

public TrainingPipeline.Builder clone()

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsLabels(String key)

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;

Parameter
Name	Description
`key`	`String`

Returns
Type	Description
`boolean`

getCreateTime()

public Timestamp getCreateTime()

Output only. Time when the TrainingPipeline was created.

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

Returns
Type	Description
`Timestamp`	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Time when the TrainingPipeline was created.

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

Returns
Type	Description
`Builder`

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Time when the TrainingPipeline was created.

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

Returns
Type	Description
`TimestampOrBuilder`

getDefaultInstanceForType()

public TrainingPipeline getDefaultInstanceForType()

Returns
Type	Description
`TrainingPipeline`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisplayName()

public String getDisplayName()

Required. The user-defined name of this TrainingPipeline.

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

Returns
Type	Description
`String`	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. The user-defined name of this TrainingPipeline.

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

Returns
Type	Description
`ByteString`	The bytes for displayName.

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Returns
Type	Description
`EncryptionSpec`	The encryptionSpec.

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Returns
Type	Description
`EncryptionSpec.Builder`

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Returns
Type	Description
`EncryptionSpecOrBuilder`

getEndTime()

public 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];

Returns
Type	Description
`Timestamp`	The endTime.

getEndTimeBuilder()

public 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];

Returns
Type	Description
`Builder`

getEndTimeOrBuilder()

public 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];

Returns
Type	Description
`TimestampOrBuilder`

getError()

public 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];

Returns
Type	Description
`com.google.rpc.Status`	The error.

getErrorBuilder()

public 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];

Returns
Type	Description
`com.google.rpc.Status.Builder`

getErrorOrBuilder()

public 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];

Returns
Type	Description
`com.google.rpc.StatusOrBuilder`

getInputDataConfig()

public InputDataConfig getInputDataConfig()

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Returns
Type	Description
`InputDataConfig`	The inputDataConfig.

getInputDataConfigBuilder()

public InputDataConfig.Builder getInputDataConfigBuilder()

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Returns
Type	Description
`InputDataConfig.Builder`

getInputDataConfigOrBuilder()

public InputDataConfigOrBuilder getInputDataConfigOrBuilder()

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Returns
Type	Description
`InputDataConfigOrBuilder`

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type	Description
`Map<String,String>`

getLabelsCount()

public int getLabelsCount()

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;

Returns
Type	Description
`int`

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;

Returns
Type	Description
`Map<String,String>`

getLabelsOrDefault(String key, String defaultValue)

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;

Parameters
Name	Description
`key`	`String`
`defaultValue`	`String`

Returns
Type	Description
`String`

getLabelsOrThrow(String key)

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;

Parameter
Name	Description
`key`	`String`

Returns
Type	Description
`String`

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];

Returns
Type	Description
`String`	The modelId.

getModelIdBytes()

public 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];

Returns
Type	Description
`ByteString`	The bytes for modelId.

getModelToUpload()

public Model getModelToUpload()

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Returns
Type	Description
`Model`	The modelToUpload.

getModelToUploadBuilder()

public Model.Builder getModelToUploadBuilder()

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Returns
Type	Description
`Model.Builder`

getModelToUploadOrBuilder()

public ModelOrBuilder getModelToUploadOrBuilder()

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Returns
Type	Description
`ModelOrBuilder`

getMutableLabels() (deprecated)

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
Type	Description
`Map<String,String>`

getName()

public String getName()

Output only. Resource name of the TrainingPipeline.

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

Returns
Type	Description
`String`	The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Resource name of the TrainingPipeline.

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

Returns
Type	Description
`ByteString`	The bytes for name.

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];

Returns
Type	Description
`String`	The parentModel.

getParentModelBytes()

public 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];

Returns
Type	Description
`ByteString`	The bytes for parentModel.

getStartTime()

public 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];

Returns
Type	Description
`Timestamp`	The startTime.

getStartTimeBuilder()

public 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];

Returns
Type	Description
`Builder`

getStartTimeOrBuilder()

public 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];

Returns
Type	Description
`TimestampOrBuilder`

getState()

public PipelineState getState()

Output only. The detailed state of the pipeline.

.google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`PipelineState`	The state.

getStateValue()

public int getStateValue()

Output only. The detailed state of the pipeline.

.google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`int`	The enum numeric value on the wire for state.

getTrainingTaskDefinition()

public String getTrainingTaskDefinition()

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

Returns
Type	Description
`String`	The trainingTaskDefinition.

getTrainingTaskDefinitionBytes()

public ByteString getTrainingTaskDefinitionBytes()

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

Returns
Type	Description
`ByteString`	The bytes for trainingTaskDefinition.

getTrainingTaskInputs()

public Value getTrainingTaskInputs()

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Returns
Type	Description
`Value`	The trainingTaskInputs.

getTrainingTaskInputsBuilder()

public Value.Builder getTrainingTaskInputsBuilder()

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Returns
Type	Description
`Builder`

getTrainingTaskInputsOrBuilder()

public ValueOrBuilder getTrainingTaskInputsOrBuilder()

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Returns
Type	Description
`ValueOrBuilder`

getTrainingTaskMetadata()

public Value getTrainingTaskMetadata()

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

Returns
Type	Description
`Value`	The trainingTaskMetadata.

getTrainingTaskMetadataBuilder()

public Value.Builder getTrainingTaskMetadataBuilder()

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

Returns
Type	Description
`Builder`

getTrainingTaskMetadataOrBuilder()

public ValueOrBuilder getTrainingTaskMetadataOrBuilder()

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

Returns
Type	Description
`ValueOrBuilder`

getUpdateTime()

public Timestamp getUpdateTime()

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

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

Returns
Type	Description
`Timestamp`	The updateTime.

getUpdateTimeBuilder()

public 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];

Returns
Type	Description
`Builder`

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

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

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

Returns
Type	Description
`TimestampOrBuilder`

hasCreateTime()

public boolean hasCreateTime()

Output only. Time when the TrainingPipeline was created.

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

Returns
Type	Description
`boolean`	Whether the createTime field is set.

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Returns
Type	Description
`boolean`	Whether the encryptionSpec field is set.

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];

Returns
Type	Description
`boolean`	Whether the endTime field is set.

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];

Returns
Type	Description
`boolean`	Whether the error field is set.

hasInputDataConfig()

public boolean hasInputDataConfig()

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Returns
Type	Description
`boolean`	Whether the inputDataConfig field is set.

hasModelToUpload()

public boolean hasModelToUpload()

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Returns
Type	Description
`boolean`	Whether the modelToUpload field is set.

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];

Returns
Type	Description
`boolean`	Whether the startTime field is set.

hasTrainingTaskInputs()

public boolean hasTrainingTaskInputs()

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Returns
Type	Description
`boolean`	Whether the trainingTaskInputs field is set.

hasTrainingTaskMetadata()

public boolean hasTrainingTaskMetadata()

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

Returns
Type	Description
`boolean`	Whether the trainingTaskMetadata field is set.

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];

Returns
Type	Description
`boolean`	Whether the updateTime field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Parameter
Name	Description
`number`	`int`

Returns
Type	Description
`com.google.protobuf.MapFieldReflectionAccessor`

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Parameter
Name	Description
`number`	`int`

Returns
Type	Description
`com.google.protobuf.MapFieldReflectionAccessor`

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeCreateTime(Timestamp value)

public TrainingPipeline.Builder mergeCreateTime(Timestamp value)

Output only. Time when the TrainingPipeline was created.

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

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeEncryptionSpec(EncryptionSpec value)

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Parameter
Name	Description
`value`	`EncryptionSpec`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeEndTime(Timestamp value)

public TrainingPipeline.Builder mergeEndTime(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];

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeError(Status value)

public TrainingPipeline.Builder mergeError(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];

Parameter
Name	Description
`value`	`com.google.rpc.Status`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeFrom(TrainingPipeline other)

public TrainingPipeline.Builder mergeFrom(TrainingPipeline other)

Parameter
Name	Description
`other`	`TrainingPipeline`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public TrainingPipeline.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

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

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public TrainingPipeline.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

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

mergeInputDataConfig(InputDataConfig value)

public TrainingPipeline.Builder mergeInputDataConfig(InputDataConfig value)

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Parameter
Name	Description
`value`	`InputDataConfig`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeModelToUpload(Model value)

public TrainingPipeline.Builder mergeModelToUpload(Model value)

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Parameter
Name	Description
`value`	`Model`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeStartTime(Timestamp value)

public TrainingPipeline.Builder mergeStartTime(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];

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeTrainingTaskInputs(Value value)

public TrainingPipeline.Builder mergeTrainingTaskInputs(Value value)

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeTrainingTaskMetadata(Value value)

public TrainingPipeline.Builder mergeTrainingTaskMetadata(Value value)

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

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`TrainingPipeline.Builder`

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TrainingPipeline.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

mergeUpdateTime(Timestamp value)

public TrainingPipeline.Builder mergeUpdateTime(Timestamp value)

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

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

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

putAllLabels(Map<String,String> values)

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;

Parameter
Name	Description
`values`	`Map<String,String>`

Returns
Type	Description
`TrainingPipeline.Builder`

putLabels(String key, String value)

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;

Parameters
Name	Description
`key`	`String`
`value`	`String`

Returns
Type	Description
`TrainingPipeline.Builder`

removeLabels(String key)

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;

Parameter
Name	Description
`key`	`String`

Returns
Type	Description
`TrainingPipeline.Builder`

setCreateTime(Timestamp value)

public TrainingPipeline.Builder setCreateTime(Timestamp value)

Output only. Time when the TrainingPipeline was created.

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

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

setCreateTime(Timestamp.Builder builderForValue)

public TrainingPipeline.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Time when the TrainingPipeline was created.

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

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setDisplayName(String value)

public TrainingPipeline.Builder setDisplayName(String value)

Required. The user-defined name of this TrainingPipeline.

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

Parameter
Name	Description
`value`	`String` The displayName to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setDisplayNameBytes(ByteString value)

public TrainingPipeline.Builder setDisplayNameBytes(ByteString value)

Required. The user-defined name of this TrainingPipeline.

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

Parameter
Name	Description
`value`	`ByteString` The bytes for displayName to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setEncryptionSpec(EncryptionSpec value)

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Parameter
Name	Description
`value`	`EncryptionSpec`

Returns
Type	Description
`TrainingPipeline.Builder`

setEncryptionSpec(EncryptionSpec.Builder builderForValue)

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 is not set separately.

.google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;

Parameter
Name	Description
`builderForValue`	`EncryptionSpec.Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setEndTime(Timestamp value)

public TrainingPipeline.Builder setEndTime(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];

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

setEndTime(Timestamp.Builder builderForValue)

public TrainingPipeline.Builder setEndTime(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];

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setError(Status value)

public TrainingPipeline.Builder setError(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];

Parameter
Name	Description
`value`	`com.google.rpc.Status`

Returns
Type	Description
`TrainingPipeline.Builder`

setError(Status.Builder builderForValue)

public TrainingPipeline.Builder setError(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];

Parameter
Name	Description
`builderForValue`	`com.google.rpc.Status.Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setField(Descriptors.FieldDescriptor field, Object value)

public TrainingPipeline.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setInputDataConfig(InputDataConfig value)

public TrainingPipeline.Builder setInputDataConfig(InputDataConfig value)

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Parameter
Name	Description
`value`	`InputDataConfig`

Returns
Type	Description
`TrainingPipeline.Builder`

setInputDataConfig(InputDataConfig.Builder builderForValue)

public TrainingPipeline.Builder setInputDataConfig(InputDataConfig.Builder builderForValue)

.google.cloud.aiplatform.v1.InputDataConfig input_data_config = 3;

Parameter
Name	Description
`builderForValue`	`InputDataConfig.Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setModelId(String value)

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];

Parameter
Name	Description
`value`	`String` The modelId to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setModelIdBytes(ByteString value)

public TrainingPipeline.Builder setModelIdBytes(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];

Parameter
Name	Description
`value`	`ByteString` The bytes for modelId to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setModelToUpload(Model value)

public TrainingPipeline.Builder setModelToUpload(Model value)

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Parameter
Name	Description
`value`	`Model`

Returns
Type	Description
`TrainingPipeline.Builder`

setModelToUpload(Model.Builder builderForValue)

public TrainingPipeline.Builder setModelToUpload(Model.Builder builderForValue)

.google.cloud.aiplatform.v1.Model model_to_upload = 7;

Parameter
Name	Description
`builderForValue`	`Model.Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setName(String value)

public TrainingPipeline.Builder setName(String value)

Output only. Resource name of the TrainingPipeline.

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

Parameter
Name	Description
`value`	`String` The name to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setNameBytes(ByteString value)

public TrainingPipeline.Builder setNameBytes(ByteString value)

Output only. Resource name of the TrainingPipeline.

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

Parameter
Name	Description
`value`	`ByteString` The bytes for name to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setParentModel(String value)

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];

Parameter
Name	Description
`value`	`String` The parentModel to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setParentModelBytes(ByteString value)

public TrainingPipeline.Builder setParentModelBytes(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];

Parameter
Name	Description
`value`	`ByteString` The bytes for parentModel to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public TrainingPipeline.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setStartTime(Timestamp value)

public TrainingPipeline.Builder setStartTime(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];

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

setStartTime(Timestamp.Builder builderForValue)

public TrainingPipeline.Builder setStartTime(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];

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setState(PipelineState value)

public TrainingPipeline.Builder setState(PipelineState value)

Output only. The detailed state of the pipeline.

.google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
`value`	`PipelineState` The state to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setStateValue(int value)

public TrainingPipeline.Builder setStateValue(int value)

Output only. The detailed state of the pipeline.

.google.cloud.aiplatform.v1.PipelineState state = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
`value`	`int` The enum numeric value on the wire for state to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setTrainingTaskDefinition(String value)

public TrainingPipeline.Builder setTrainingTaskDefinition(String value)

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

Parameter
Name	Description
`value`	`String` The trainingTaskDefinition to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setTrainingTaskDefinitionBytes(ByteString value)

public TrainingPipeline.Builder setTrainingTaskDefinitionBytes(ByteString value)

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

Parameter
Name	Description
`value`	`ByteString` The bytes for trainingTaskDefinition to set.

Returns
Type	Description
`TrainingPipeline.Builder`	This builder for chaining.

setTrainingTaskInputs(Value value)

public TrainingPipeline.Builder setTrainingTaskInputs(Value value)

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`TrainingPipeline.Builder`

setTrainingTaskInputs(Value.Builder builderForValue)

public TrainingPipeline.Builder setTrainingTaskInputs(Value.Builder builderForValue)

Required. The training task's parameter(s), as specified in the training_task_definition's inputs.

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

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setTrainingTaskMetadata(Value value)

public TrainingPipeline.Builder setTrainingTaskMetadata(Value value)

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

Parameter
Name	Description
`value`	`Value`

Returns
Type	Description
`TrainingPipeline.Builder`

setTrainingTaskMetadata(Value.Builder builderForValue)

public TrainingPipeline.Builder setTrainingTaskMetadata(Value.Builder builderForValue)

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

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`TrainingPipeline.Builder`

setUnknownFields(UnknownFieldSet unknownFields)

public final TrainingPipeline.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)

setUpdateTime(Timestamp value)

public TrainingPipeline.Builder setUpdateTime(Timestamp value)

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

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

Parameter
Name	Description
`value`	`Timestamp`

Returns
Type	Description
`TrainingPipeline.Builder`

setUpdateTime(Timestamp.Builder builderForValue)

public TrainingPipeline.Builder setUpdateTime(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];

Parameter
Name	Description
`builderForValue`	`Builder`

Returns
Type	Description
`TrainingPipeline.Builder`