Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PreferenceOptimizationHyperParameters

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

Hyperparameters for Preference Optimization.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1PreferenceOptimizationHyperParameters

Returns a new instance of GoogleCloudAiplatformV1PreferenceOptimizationHyperParameters.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31051

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

Instance Attribute Details

#adapter_size ⇒ String

Optional. Adapter size for preference optimization. Corresponds to the JSON property adapterSize

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31033

def adapter_size
  @adapter_size
end

#beta ⇒ Float

Optional. Weight for KL Divergence regularization. Corresponds to the JSON property beta

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31038

def beta
  @beta
end

#epoch_count ⇒ Fixnum

Optional. Number of complete passes the model makes over the entire training dataset during training. Corresponds to the JSON property epochCount

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31044

def epoch_count
  @epoch_count
end

#learning_rate_multiplier ⇒ Float

Optional. Multiplier for adjusting the default learning rate. Corresponds to the JSON property learningRateMultiplier

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31049

def learning_rate_multiplier
  @learning_rate_multiplier
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 31056

def update!(**args)
  @adapter_size = args[:adapter_size] if args.key?(:adapter_size)
  @beta = args[:beta] if args.key?(:beta)
  @epoch_count = args[:epoch_count] if args.key?(:epoch_count)
  @learning_rate_multiplier = args[:learning_rate_multiplier] if args.key?(:learning_rate_multiplier)
end