Package com.google.cloud.aiplatform.v1

Class TrainingPipeline

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.aiplatform.v1.TrainingPipeline
All Implemented Interfaces:
TrainingPipelineOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
@Generated public final class TrainingPipeline extends com.google.protobuf.GeneratedMessage 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.v1.ModelService.UploadModel] the Model to
 Vertex AI, and evaluate the Model.
Protobuf type google.cloud.aiplatform.v1.TrainingPipeline
See Also:

  • Field Details

    • NAME_FIELD_NUMBER

      public static final int NAME_FIELD_NUMBER
      See Also:

    • DISPLAY_NAME_FIELD_NUMBER

      public static final int DISPLAY_NAME_FIELD_NUMBER
      See Also:

    • INPUT_DATA_CONFIG_FIELD_NUMBER

      public static final int INPUT_DATA_CONFIG_FIELD_NUMBER
      See Also:

    • TRAINING_TASK_DEFINITION_FIELD_NUMBER

      public static final int TRAINING_TASK_DEFINITION_FIELD_NUMBER
      See Also:

    • TRAINING_TASK_INPUTS_FIELD_NUMBER

      public static final int TRAINING_TASK_INPUTS_FIELD_NUMBER
      See Also:

    • TRAINING_TASK_METADATA_FIELD_NUMBER

      public static final int TRAINING_TASK_METADATA_FIELD_NUMBER
      See Also:

    • MODEL_TO_UPLOAD_FIELD_NUMBER

      public static final int MODEL_TO_UPLOAD_FIELD_NUMBER
      See Also:

    • MODEL_ID_FIELD_NUMBER

      public static final int MODEL_ID_FIELD_NUMBER
      See Also:

    • PARENT_MODEL_FIELD_NUMBER

      public static final int PARENT_MODEL_FIELD_NUMBER
      See Also:

    • STATE_FIELD_NUMBER

      public static final int STATE_FIELD_NUMBER
      See Also:

    • ERROR_FIELD_NUMBER

      public static final int ERROR_FIELD_NUMBER
      See Also:

    • CREATE_TIME_FIELD_NUMBER

      public static final int CREATE_TIME_FIELD_NUMBER
      See Also:

    • START_TIME_FIELD_NUMBER

      public static final int START_TIME_FIELD_NUMBER
      See Also:

    • END_TIME_FIELD_NUMBER

      public static final int END_TIME_FIELD_NUMBER
      See Also:

    • UPDATE_TIME_FIELD_NUMBER

      public static final int UPDATE_TIME_FIELD_NUMBER
      See Also:

    • LABELS_FIELD_NUMBER

      public static final int LABELS_FIELD_NUMBER
      See Also:

    • ENCRYPTION_SPEC_FIELD_NUMBER

      public static final int ENCRYPTION_SPEC_FIELD_NUMBER
      See Also:

  • Method Details

    • 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.GeneratedMessage

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage

    • 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.

    • 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.

    • 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.v1.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.v1.TrainingPipeline.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;
      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.v1.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.v1.TrainingPipeline.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;
      Specified by:
      getInputDataConfig in interface TrainingPipelineOrBuilder
      Returns:
      The inputDataConfig.

    • 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.v1.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.v1.TrainingPipeline.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;
      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.

    • hasTrainingTaskInputs

      public boolean hasTrainingTaskInputs()
       Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1.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.v1.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.

    • getTrainingTaskInputsOrBuilder

      public com.google.protobuf.ValueOrBuilder getTrainingTaskInputsOrBuilder()
       Required. The training task's parameter(s), as specified in the
 [training_task_definition][google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.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.v1.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.

    • getTrainingTaskMetadataOrBuilder

      public com.google.protobuf.ValueOrBuilder getTrainingTaskMetadataOrBuilder()
       Output only. The metadata information as specified in the
 [training_task_definition][google.cloud.aiplatform.v1.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.v1.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.v1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1.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.v1.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.v1.Model.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;
      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.v1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1.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.v1.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.v1.Model.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;
      Specified by:
      getModelToUpload in interface TrainingPipelineOrBuilder
      Returns:
      The modelToUpload.

    • getModelToUploadOrBuilder

      public ModelOrBuilder getModelToUploadOrBuilder()
       Describes the Model that may be uploaded (via
 [ModelService.UploadModel][google.cloud.aiplatform.v1.ModelService.UploadModel])
 by this TrainingPipeline. The TrainingPipeline's
 [training_task_definition][google.cloud.aiplatform.v1.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.v1.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.v1.Model.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;
      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.

    • 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.

    • 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];
      Specified by:
      getStateValue in interface TrainingPipelineOrBuilder
      Returns:
      The enum numeric value on the wire for state.

    • 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];
      Specified by:
      getState in interface TrainingPipelineOrBuilder
      Returns:
      The state.

    • 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 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.

    • 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];
      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.

    • 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.

    • 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.

    • 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.

    • 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

    • 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.v1.TrainingPipeline.encryption_spec]
 is not set separately.
      .google.cloud.aiplatform.v1.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.v1.TrainingPipeline.encryption_spec]
 is not set separately.
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
      Specified by:
      getEncryptionSpec in interface TrainingPipelineOrBuilder
      Returns:
      The encryptionSpec.

    • 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.v1.TrainingPipeline.encryption_spec]
 is not set separately.
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 18;
      Specified by:
      getEncryptionSpecOrBuilder in interface TrainingPipelineOrBuilder

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage

    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessage
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessage

    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage

    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage

    • parseFrom

      public static TrainingPipeline parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static TrainingPipeline parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static TrainingPipeline parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static TrainingPipeline parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static TrainingPipeline parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static TrainingPipeline parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static TrainingPipeline parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static TrainingPipeline parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static TrainingPipeline parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static TrainingPipeline parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static TrainingPipeline parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static TrainingPipeline parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilderForType

      public TrainingPipeline.Builder newBuilderForType()
      Specified by:
      newBuilderForType in interface com.google.protobuf.Message
      Specified by:
      newBuilderForType in interface com.google.protobuf.MessageLite

    • newBuilder

      public static TrainingPipeline.Builder newBuilder()

    • newBuilder

      public static TrainingPipeline.Builder newBuilder(TrainingPipeline prototype)

    • toBuilder

      public TrainingPipeline.Builder toBuilder()
      Specified by:
      toBuilder in interface com.google.protobuf.Message
      Specified by:
      toBuilder in interface com.google.protobuf.MessageLite

    • newBuilderForType

      protected TrainingPipeline.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
      Overrides:
      newBuilderForType in class com.google.protobuf.AbstractMessage

    • getDefaultInstance

      public static TrainingPipeline getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<TrainingPipeline> parser()

    • getParserForType

      public com.google.protobuf.Parser<TrainingPipeline> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessage

    • getDefaultInstanceForType

      public TrainingPipeline getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder