Class: Google::Apis::MlV1::GoogleCloudMlV1Version

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
generated/google/apis/ml_v1/classes.rb,
generated/google/apis/ml_v1/representations.rb,
generated/google/apis/ml_v1/representations.rb

Overview

Represents a version of the model. Each version is a trained model deployed in the cloud, ready to handle prediction requests. A model can have multiple versions. You can get information about all of the versions of a given model by calling projects.models.versions.list.

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from Core::JsonObjectSupport

#to_json

Methods included from Core::Hashable

process_value, #to_h

Constructor Details

#initialize(**args) ⇒ GoogleCloudMlV1Version

Returns a new instance of GoogleCloudMlV1Version



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# File 'generated/google/apis/ml_v1/classes.rb', line 1315

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

Instance Attribute Details

#auto_scaling ⇒ Google::Apis::MlV1::GoogleCloudMlV1AutoScaling

Options for automatically scaling a model. Corresponds to the JSON property autoScaling

Returns:



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# File 'generated/google/apis/ml_v1/classes.rb', line 1229

def auto_scaling
  @auto_scaling
end

#create_time ⇒ String

Output only. The time the version was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1234

def create_time
  @create_time
end

#deployment_uri ⇒ String

Required. The Google Cloud Storage location of the trained model used to create the version. See the overview of model deployment for more information. When passing Version to projects.models.versions.create the model service uses the specified location as the source of the model. Once deployed, the model version is hosted by the prediction service, so this location is useful only as a historical record. The total number of model files can't exceed 1000. Corresponds to the JSON property deploymentUri

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1250

def deployment_uri
  @deployment_uri
end

#description ⇒ String

Optional. The description specified for the version when it was created. Corresponds to the JSON property description

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1255

def description
  @description
end

#error_message ⇒ String

Output only. The details of a failure or a cancellation. Corresponds to the JSON property errorMessage

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1260

def error_message
  @error_message
end

#framework ⇒ String

Optional. The machine learning framework Cloud ML Engine uses to train this version of the model. Valid values are TENSORFLOW, SCIKIT_LEARN, and XGBOOST. If you do not specify a framework, Cloud ML Engine uses TensorFlow. If you choose SCIKIT_LEARN or XGBOOST, you must also set the runtime version of the model to 1.4 or greater. Corresponds to the JSON property framework

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1269

def framework
  @framework
end

#is_default ⇒ Boolean Also known as: is_default?

Output only. If true, this version will be used to handle prediction requests that do not specify a version. You can change the default version by calling projects.methods.versions.setDefault. Corresponds to the JSON property isDefault

Returns:

  • (Boolean) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1278

def is_default
  @is_default
end

#last_use_time ⇒ String

Output only. The time the version was last used for prediction. Corresponds to the JSON property lastUseTime

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1284

def last_use_time
  @last_use_time
end

#manual_scaling ⇒ Google::Apis::MlV1::GoogleCloudMlV1ManualScaling

Options for manually scaling a model. Corresponds to the JSON property manualScaling

Returns:



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# File 'generated/google/apis/ml_v1/classes.rb', line 1289

def manual_scaling
  @manual_scaling
end

#name ⇒ String

Required.The name specified for the version when it was created. The version name must be unique within the model it is created in. Corresponds to the JSON property name

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1295

def name
  @name
end

#python_version ⇒ String

Optional. The version of Python used in prediction. If not set, the default version is '2.7'. Python '3.5' is available when runtime_version is set to '1.4' and above. Python '2.7' works with all supported runtime versions. Corresponds to the JSON property pythonVersion

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1302

def python_version
  @python_version
end

#runtime_version ⇒ String

Optional. The Google Cloud ML runtime version to use for this deployment. If not set, Google Cloud ML will choose a version. Corresponds to the JSON property runtimeVersion

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1308

def runtime_version
  @runtime_version
end

#state ⇒ String

Output only. The state of a version. Corresponds to the JSON property state

Returns:

  • (String) 


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# File 'generated/google/apis/ml_v1/classes.rb', line 1313

def state
  @state
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'generated/google/apis/ml_v1/classes.rb', line 1320

def update!(**args)
  @auto_scaling = args[:auto_scaling] if args.key?(:auto_scaling)
  @create_time = args[:create_time] if args.key?(:create_time)
  @deployment_uri = args[:deployment_uri] if args.key?(:deployment_uri)
  @description = args[:description] if args.key?(:description)
  @error_message = args[:error_message] if args.key?(:error_message)
  @framework = args[:framework] if args.key?(:framework)
  @is_default = args[:is_default] if args.key?(:is_default)
  @last_use_time = args[:last_use_time] if args.key?(:last_use_time)
  @manual_scaling = args[:manual_scaling] if args.key?(:manual_scaling)
  @name = args[:name] if args.key?(:name)
  @python_version = args[:python_version] if args.key?(:python_version)
  @runtime_version = args[:runtime_version] if args.key?(:runtime_version)
  @state = args[:state] if args.key?(:state)
end