Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

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.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1TrainingPipeline

Returns a new instance of GoogleCloudAiplatformV1TrainingPipeline.



36678
36679
36680
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36678

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#create_time ⇒ String

Output only. Time when the TrainingPipeline was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


36567
36568
36569
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36567

def create_time
  @create_time
end

#display_name ⇒ String

Required. The user-defined name of this TrainingPipeline. Corresponds to the JSON property displayName

Returns:

  • (String) 


36572
36573
36574
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36572

def display_name
  @display_name
end

#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec

Represents a customer-managed encryption key spec that can be applied to a top- level resource. Corresponds to the JSON property encryptionSpec

Returns:



36578
36579
36580
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36578

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

Output only. Time when the TrainingPipeline entered any of the following states: PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED. Corresponds to the JSON property endTime

Returns:

  • (String) 


36585
36586
36587
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36585

def end_time
  @end_time
end

#error ⇒ Google::Apis::AiplatformV1::GoogleRpcStatus

The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide. Corresponds to the JSON property error

Returns:



36595
36596
36597
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36595

def error
  @error
end

#input_data_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1InputDataConfig

Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model. Corresponds to the JSON property inputDataConfig

Returns:



36601
36602
36603
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36601

def input_data_config
  @input_data_config
end

#labels ⇒ Hash<String,String>

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. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


36610
36611
36612
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36610

def labels
  @labels
end

#model_id ⇒ String

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. Corresponds to the JSON property modelId

Returns:

  • (String) 


36618
36619
36620
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36618

def model_id
  @model_id
end

#model_to_upload ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model

A trained machine learning Model. Corresponds to the JSON property modelToUpload

Returns:



36623
36624
36625
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36623

def model_to_upload
  @model_to_upload
end

#name ⇒ String

Output only. Resource name of the TrainingPipeline. Corresponds to the JSON property name

Returns:

  • (String) 


36628
36629
36630
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36628

def name
  @name
end

#parent_model ⇒ String

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. Corresponds to the JSON property parentModel

Returns:

  • (String) 


36634
36635
36636
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36634

def parent_model
  @parent_model
end

#start_time ⇒ String

Output only. Time when the TrainingPipeline for the first time entered the PIPELINE_STATE_RUNNING state. Corresponds to the JSON property startTime

Returns:

  • (String) 


36640
36641
36642
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36640

def start_time
  @start_time
end

#state ⇒ String

Output only. The detailed state of the pipeline. Corresponds to the JSON property state

Returns:

  • (String) 


36645
36646
36647
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36645

def state
  @state
end

#training_task_definition ⇒ String

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. Corresponds to the JSON property trainingTaskDefinition

Returns:

  • (String) 


36656
36657
36658
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36656

def training_task_definition
  @training_task_definition
end

#training_task_inputs ⇒ Object

Required. The training task's parameter(s), as specified in the training_task_definition's inputs. Corresponds to the JSON property trainingTaskInputs

Returns:

  • (Object) 


36662
36663
36664
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36662

def training_task_inputs
  @training_task_inputs
end

#training_task_metadata ⇒ Object

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. Corresponds to the JSON property trainingTaskMetadata

Returns:

  • (Object) 


36671
36672
36673
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36671

def training_task_metadata
  @training_task_metadata
end

#update_time ⇒ String

Output only. Time when the TrainingPipeline was most recently updated. Corresponds to the JSON property updateTime

Returns:

  • (String) 


36676
36677
36678
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36676

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



36683
36684
36685
36686
36687
36688
36689
36690
36691
36692
36693
36694
36695
36696
36697
36698
36699
36700
36701
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 36683

def update!(**args)
  @create_time = args[:create_time] if args.key?(:create_time)
  @display_name = args[:display_name] if args.key?(:display_name)
  @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec)
  @end_time = args[:end_time] if args.key?(:end_time)
  @error = args[:error] if args.key?(:error)
  @input_data_config = args[:input_data_config] if args.key?(:input_data_config)
  @labels = args[:labels] if args.key?(:labels)
  @model_id = args[:model_id] if args.key?(:model_id)
  @model_to_upload = args[:model_to_upload] if args.key?(:model_to_upload)
  @name = args[:name] if args.key?(:name)
  @parent_model = args[:parent_model] if args.key?(:parent_model)
  @start_time = args[:start_time] if args.key?(:start_time)
  @state = args[:state] if args.key?(:state)
  @training_task_definition = args[:training_task_definition] if args.key?(:training_task_definition)
  @training_task_inputs = args[:training_task_inputs] if args.key?(:training_task_inputs)
  @training_task_metadata = args[:training_task_metadata] if args.key?(:training_task_metadata)
  @update_time = args[:update_time] if args.key?(:update_time)
end