Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TuningJob

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Represents a TuningJob that runs with Google owned models.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1TuningJob

Returns a new instance of GoogleCloudAiplatformV1beta1TuningJob.



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35242

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

Instance Attribute Details

#base_model ⇒ String

The base model that is being tuned, e.g., "gemini-1.0-pro-002". Corresponds to the JSON property baseModel

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35131

def base_model
  @base_model
end

#create_time ⇒ String

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

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35136

def create_time
  @create_time
end

#description ⇒ String

Optional. The description of the TuningJob. Corresponds to the JSON property description

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35141

def description
  @description
end

#distillation_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DistillationSpec

Tuning Spec for Distillation. Corresponds to the JSON property distillationSpec

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35146

def distillation_spec
  @distillation_spec
end

#encryption_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EncryptionSpec

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

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35152

def encryption_spec
  @encryption_spec
end

#end_time ⇒ String

Output only. Time when the TuningJob entered any of the following JobStates: JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED, JOB_STATE_EXPIRED. Corresponds to the JSON property endTime

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35159

def end_time
  @end_time
end

#error ⇒ Google::Apis::AiplatformV1beta1::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:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35169

def error
  @error
end

#experiment ⇒ String

Output only. The Experiment associated with this TuningJob. Corresponds to the JSON property experiment

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35174

def experiment
  @experiment
end

#labels ⇒ Hash<String,String>

Optional. The labels with user-defined metadata to organize TuningJob and generated resources such as Model and Endpoint. 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>) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35184

def labels
  @labels
end

#name ⇒ String

Output only. Identifier. Resource name of a TuningJob. Format: projects/ project/locations/location/tuningJobs/tuning_job` Corresponds to the JSON propertyname`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35190

def name
  @name
end

#pipeline_job ⇒ String

Output only. The resource name of the PipelineJob associated with the TuningJob. Format: projects/project/locations/location/pipelineJobs/ pipeline_job`. Corresponds to the JSON propertypipelineJob`

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35197

def pipeline_job
  @pipeline_job
end

#reinforcement_learning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReinforcementLearningSpec

Tuning Spec for Reinforcement Learning. Corresponds to the JSON property reinforcementLearningSpec

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35202

def reinforcement_learning_spec
  @reinforcement_learning_spec
end

#start_time ⇒ String

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

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35208

def start_time
  @start_time
end

#state ⇒ String

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

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35213

def state
  @state
end

#supervised_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SupervisedTuningSpec

Tuning Spec for Supervised Tuning. Corresponds to the JSON property supervisedTuningSpec

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35218

def supervised_tuning_spec
  @supervised_tuning_spec
end

#tuned_model ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TunedModel

The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob. Corresponds to the JSON property tunedModel

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35224

def tuned_model
  @tuned_model
end

#tuned_model_display_name ⇒ String

Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. Corresponds to the JSON property tunedModelDisplayName

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35230

def tuned_model_display_name
  @tuned_model_display_name
end

#tuning_data_stats ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TuningDataStats

The tuning data statistic values for TuningJob. Corresponds to the JSON property tuningDataStats

Returns:



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35235

def tuning_data_stats
  @tuning_data_stats
end

#update_time ⇒ String

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

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35240

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 35247

def update!(**args)
  @base_model = args[:base_model] if args.key?(:base_model)
  @create_time = args[:create_time] if args.key?(:create_time)
  @description = args[:description] if args.key?(:description)
  @distillation_spec = args[:distillation_spec] if args.key?(:distillation_spec)
  @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)
  @experiment = args[:experiment] if args.key?(:experiment)
  @labels = args[:labels] if args.key?(:labels)
  @name = args[:name] if args.key?(:name)
  @pipeline_job = args[:pipeline_job] if args.key?(:pipeline_job)
  @reinforcement_learning_spec = args[:reinforcement_learning_spec] if args.key?(:reinforcement_learning_spec)
  @start_time = args[:start_time] if args.key?(:start_time)
  @state = args[:state] if args.key?(:state)
  @supervised_tuning_spec = args[:supervised_tuning_spec] if args.key?(:supervised_tuning_spec)
  @tuned_model = args[:tuned_model] if args.key?(:tuned_model)
  @tuned_model_display_name = args[:tuned_model_display_name] if args.key?(:tuned_model_display_name)
  @tuning_data_stats = args[:tuning_data_stats] if args.key?(:tuning_data_stats)
  @update_time = args[:update_time] if args.key?(:update_time)
end