Module: OpenApiOpenAIClient::FineTuningJobHyperparametersNEpochs

Defined in:
lib/openapi_openai/models/fine_tuning_job_hyperparameters_n_epochs.rb

Overview

The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset. "auto" decides the optimal number of epochs based on the size of the dataset. If setting the number manually, we support any number between 1 and 50 epochs.

Class Method Summary collapse

Class Method Details

.build(data) ⇒ Object

Builds the object

Parameters:

  • Data (Mixed) —

    to be matched against the list of oneOf items

Returns:

  • (Object) —

    Returns the model or the data itself



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# File 'lib/openapi_openai/models/fine_tuning_job_hyperparameters_n_epochs.rb', line 31

def build(data)
  # Go through the list of oneOf items and attempt to identify the appropriate one.
  # Note:
  # - We do not attempt to check whether exactly one item matches.
  # - No advanced validation of types in some cases (e.g. "x: { type: string }" will happily match { x: 123 })
  #   due to the way the deserialization is made in the base_object template (it just casts without verifying).
  # - TODO: scalar values are de facto behaving as if they were nullable.
  # - TODO: logging when debugging is set.
  openapi_one_of.each do |klass|
    begin
      next if klass == :AnyType # "nullable: true"
      typed_data = find_and_cast_into_type(klass, data)
      return typed_data if typed_data
    rescue # rescue all errors so we keep iterating even if the current item lookup raises
    end
  end

  openapi_one_of.include?(:AnyType) ? data : nil
end

.openapi_one_of ⇒ Object

List of class defined in oneOf (OpenAPI v3)



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# File 'lib/openapi_openai/models/fine_tuning_job_hyperparameters_n_epochs.rb', line 21

def openapi_one_of
  [
    :'Integer',
    :'String'
  ]
end