Class TrainingPipeline (3.18.0)

public final class TrainingPipeline extends GeneratedMessageV3 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.v1beta1.TrainingPipeline

Inheritance

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

Implements

TrainingPipelineOrBuilder

Inherited Members

AbstractMessage.equals(Object)

AbstractMessage.findInitializationErrors()

AbstractMessage.getInitializationErrorString()

AbstractMessage.hashBoolean(boolean)

AbstractMessage.hashCode()

AbstractMessage.hashEnum(Internal.EnumLite)

AbstractMessage.hashEnumList(List<? extends Internal.EnumLite>)

AbstractMessage.hashFields(int,Map<Descriptors.FieldDescriptor,Object>)

AbstractMessage.hashLong(long)

AbstractMessage.toString()

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

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

AbstractMessageLite.checkByteStringIsUtf8(ByteString)

AbstractMessageLite.toByteArray()

AbstractMessageLite.toByteString()

AbstractMessageLite.writeDelimitedTo(OutputStream)

AbstractMessageLite.writeTo(OutputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseDelimitedWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream)

GeneratedMessageV3.<M>parseWithIOException(Parser<M>,InputStream,ExtensionRegistryLite)

GeneratedMessageV3.<V>serializeBooleanMapTo(CodedOutputStream,MapField<Boolean,V>,MapEntry<Boolean,V>,int)

GeneratedMessageV3.<V>serializeIntegerMapTo(CodedOutputStream,MapField<Integer,V>,MapEntry<Integer,V>,int)

GeneratedMessageV3.<V>serializeLongMapTo(CodedOutputStream,MapField<Long,V>,MapEntry<Long,V>,int)

GeneratedMessageV3.<V>serializeStringMapTo(CodedOutputStream,MapField<String,V>,MapEntry<String,V>,int)

GeneratedMessageV3.canUseUnsafe()

GeneratedMessageV3.computeStringSize(int,Object)

GeneratedMessageV3.computeStringSizeNoTag(Object)

GeneratedMessageV3.emptyBooleanList()

GeneratedMessageV3.emptyDoubleList()

GeneratedMessageV3.emptyFloatList()

GeneratedMessageV3.emptyIntList()

GeneratedMessageV3.emptyLongList()

GeneratedMessageV3.getAllFields()

GeneratedMessageV3.getDescriptorForType()

GeneratedMessageV3.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.getParserForType()

GeneratedMessageV3.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.getRepeatedFieldCount(Descriptors.FieldDescriptor)

GeneratedMessageV3.getSerializedSize()

GeneratedMessageV3.getUnknownFields()

GeneratedMessageV3.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.internalGetFieldAccessorTable()

GeneratedMessageV3.internalGetMapField(int)

GeneratedMessageV3.isInitialized()

GeneratedMessageV3.isStringEmpty(Object)

GeneratedMessageV3.makeExtensionsImmutable()

GeneratedMessageV3.mergeFromAndMakeImmutableInternal(CodedInputStream,ExtensionRegistryLite)

GeneratedMessageV3.mutableCopy(Internal.BooleanList)

GeneratedMessageV3.mutableCopy(Internal.DoubleList)

GeneratedMessageV3.mutableCopy(Internal.FloatList)

GeneratedMessageV3.mutableCopy(Internal.IntList)

GeneratedMessageV3.mutableCopy(Internal.LongList)

GeneratedMessageV3.newBooleanList()

GeneratedMessageV3.newBuilderForType(AbstractMessage.BuilderParent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent)

GeneratedMessageV3.newDoubleList()

GeneratedMessageV3.newFloatList()

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter)

GeneratedMessageV3.newIntList()

GeneratedMessageV3.newLongList()

GeneratedMessageV3.parseUnknownField(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.parseUnknownFieldProto3(CodedInputStream,UnknownFieldSet.Builder,ExtensionRegistryLite,int)

GeneratedMessageV3.writeReplace()

GeneratedMessageV3.writeString(CodedOutputStream,int,Object)

GeneratedMessageV3.writeStringNoTag(CodedOutputStream,Object)

GeneratedMessageV3.writeTo(CodedOutputStream)

Object.clone()

Object.finalize()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

CREATE_TIME_FIELD_NUMBER

public static final int CREATE_TIME_FIELD_NUMBER

Field Value
Type	Description
`int`

DISPLAY_NAME_FIELD_NUMBER

public static final int DISPLAY_NAME_FIELD_NUMBER

Field Value
Type	Description
`int`

ENCRYPTION_SPEC_FIELD_NUMBER

public static final int ENCRYPTION_SPEC_FIELD_NUMBER

Field Value
Type	Description
`int`

END_TIME_FIELD_NUMBER

public static final int END_TIME_FIELD_NUMBER

Field Value
Type	Description
`int`

ERROR_FIELD_NUMBER

public static final int ERROR_FIELD_NUMBER

Field Value
Type	Description
`int`

INPUT_DATA_CONFIG_FIELD_NUMBER

public static final int INPUT_DATA_CONFIG_FIELD_NUMBER

Field Value
Type	Description
`int`

LABELS_FIELD_NUMBER

public static final int LABELS_FIELD_NUMBER

Field Value
Type	Description
`int`

MODEL_ID_FIELD_NUMBER

public static final int MODEL_ID_FIELD_NUMBER

Field Value
Type	Description
`int`

MODEL_TO_UPLOAD_FIELD_NUMBER

public static final int MODEL_TO_UPLOAD_FIELD_NUMBER

Field Value
Type	Description
`int`

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER

Field Value
Type	Description
`int`

PARENT_MODEL_FIELD_NUMBER

public static final int PARENT_MODEL_FIELD_NUMBER

Field Value
Type	Description
`int`

START_TIME_FIELD_NUMBER

public static final int START_TIME_FIELD_NUMBER

Field Value
Type	Description
`int`

STATE_FIELD_NUMBER

public static final int STATE_FIELD_NUMBER

Field Value
Type	Description
`int`

TRAINING_TASK_DEFINITION_FIELD_NUMBER

public static final int TRAINING_TASK_DEFINITION_FIELD_NUMBER

Field Value
Type	Description
`int`

TRAINING_TASK_INPUTS_FIELD_NUMBER

public static final int TRAINING_TASK_INPUTS_FIELD_NUMBER

Field Value
Type	Description
`int`

TRAINING_TASK_METADATA_FIELD_NUMBER

public static final int TRAINING_TASK_METADATA_FIELD_NUMBER

Field Value
Type	Description
`int`

UPDATE_TIME_FIELD_NUMBER

public static final int UPDATE_TIME_FIELD_NUMBER

Field Value
Type	Description
`int`

Static Methods

getDefaultInstance()

public static TrainingPipeline getDefaultInstance()

Returns
Type	Description
`TrainingPipeline`

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
`Descriptor`

newBuilder()

public static TrainingPipeline.Builder newBuilder()

Returns
Type	Description
`TrainingPipeline.Builder`

newBuilder(TrainingPipeline prototype)

public static TrainingPipeline.Builder newBuilder(TrainingPipeline prototype)

Parameter
Name	Description
`prototype`	`TrainingPipeline`

Returns
Type	Description
`TrainingPipeline.Builder`

parseDelimitedFrom(InputStream input)

public static TrainingPipeline parseDelimitedFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`IOException`

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TrainingPipeline parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`IOException`

parseFrom(byte[] data)

public static TrainingPipeline parseFrom(byte[] data)

Parameter
Name	Description
`data`	`byte[]`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static TrainingPipeline parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`byte[]`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data)

public static TrainingPipeline parseFrom(ByteString data)

Parameter
Name	Description
`data`	`ByteString`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static TrainingPipeline parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteString`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(CodedInputStream input)

public static TrainingPipeline parseFrom(CodedInputStream input)

Parameter
Name	Description
`input`	`CodedInputStream`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`IOException`

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static TrainingPipeline parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input)

public static TrainingPipeline parseFrom(InputStream input)

Parameter
Name	Description
`input`	`InputStream`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`IOException`

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static TrainingPipeline parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`input`	`InputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`IOException`

parseFrom(ByteBuffer data)

public static TrainingPipeline parseFrom(ByteBuffer data)

Parameter
Name	Description
`data`	`ByteBuffer`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static TrainingPipeline parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
`data`	`ByteBuffer`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`TrainingPipeline`

Exceptions
Type	Description
`InvalidProtocolBufferException`

parser()

public static Parser<TrainingPipeline> parser()

Returns
Type	Description
`Parser<TrainingPipeline>`

Methods

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`

equals(Object obj)

public boolean equals(Object obj)

Parameter
Name	Description
`obj`	`Object`

Returns
Type	Description
`boolean`

Overrides

AbstractMessage.equals(Object other)

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.

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`

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.v1beta1.EncryptionSpec encryption_spec = 18;

Returns
Type	Description
`EncryptionSpec`	The encryptionSpec.

getEncryptionSpecOrBuilder()

public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()

.google.cloud.aiplatform.v1beta1.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.

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.

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()

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.v1beta1.InputDataConfig input_data_config = 3;

Returns
Type	Description
`InputDataConfig`	The inputDataConfig.

getInputDataConfigOrBuilder()

public InputDataConfigOrBuilder getInputDataConfigOrBuilder()

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

Returns
Type	Description
`InputDataConfigOrBuilder`

getLabels()

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type	Description
`Map<String,String>`

getLabelsCount()

public int getLabelsCount()

map<string, string> labels = 15;

Returns
Type	Description
`int`

getLabelsMap()

public Map<String,String> getLabelsMap()

map<string, string> labels = 15;

Returns
Type	Description
`Map<String,String>`

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

map<string, string> labels = 15;

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

Returns
Type	Description
`String`

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

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()

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

Returns
Type	Description
`ByteString`	The bytes for modelId.

getModelToUpload()

public Model getModelToUpload()

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.v1beta1.Model model_to_upload = 7;

Returns
Type	Description
`Model`	The modelToUpload.

getModelToUploadOrBuilder()

public ModelOrBuilder getModelToUploadOrBuilder()

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

Returns
Type	Description
`ModelOrBuilder`

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.

getParserForType()

public Parser<TrainingPipeline> getParserForType()

Returns
Type	Description
`Parser<TrainingPipeline>`

Overrides

GeneratedMessageV3.getParserForType()

getSerializedSize()

public int getSerializedSize()

Returns
Type	Description
`int`

Overrides

GeneratedMessageV3.getSerializedSize()

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.

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.v1beta1.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.v1beta1.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()

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
`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.

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()

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
`Value`	The trainingTaskMetadata.

getTrainingTaskMetadataOrBuilder()

public ValueOrBuilder getTrainingTaskMetadataOrBuilder()

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

Returns
Type	Description
`ValueOrBuilder`

getUnknownFields()

public final UnknownFieldSet getUnknownFields()

Returns
Type	Description
`UnknownFieldSet`

Overrides

GeneratedMessageV3.getUnknownFields()

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.

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()

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

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

hasModelToUpload()

public boolean hasModelToUpload()

.google.cloud.aiplatform.v1beta1.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.

hashCode()

public int hashCode()

Returns
Type	Description
`int`

Overrides

AbstractMessage.hashCode()

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.internalGetFieldAccessorTable()

internalGetMapField(int number)

protected MapField internalGetMapField(int number)

Parameter
Name	Description
`number`	`int`

Returns
Type	Description
`MapField`

Overrides

GeneratedMessageV3.internalGetMapField(int fieldNumber)

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.isInitialized()

newBuilderForType()

public TrainingPipeline.Builder newBuilderForType()

Returns
Type	Description
`TrainingPipeline.Builder`

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected TrainingPipeline.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)

Parameter
Name	Description
`parent`	`BuilderParent`

Returns
Type	Description
`TrainingPipeline.Builder`

Overrides

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

Parameter
Name	Description
`unused`	`UnusedPrivateParameter`

Returns
Type	Description
`Object`

Overrides

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

toBuilder()

public TrainingPipeline.Builder toBuilder()

Returns
Type	Description
`TrainingPipeline.Builder`

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)

Parameter
Name	Description
`output`	`CodedOutputStream`

Overrides

GeneratedMessageV3.writeTo(CodedOutputStream output)

Exceptions
Type	Description
`IOException`