Module: OpenAI::Models::FineTuning::SupervisedHyperparameters::NEpochs

Extended by:

Internal::Type::Union

Defined in:

lib/openai/models/fine_tuning/supervised_hyperparameters.rb,
sig/openai/models/fine_tuning/supervised_hyperparameters.rbs

Overview

The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

See Also:

• OpenAI::Models::FineTuning::SupervisedHyperparameters#n_epochs

Class Method Summary

• .variants ⇒ Array(Symbol, :auto, Integer)

Instance Method Summary

• #self?.variants ⇒ ::Array[OpenAI::Models::FineTuning::SupervisedHyperparameters::n_epochs]

Methods included from Internal::Type::Union

==, ===, coerce, derefed_variants, dump, hash, inspect, to_sorbet_type, variants

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, meta_info, new_coerce_state, type_info

Class Method Details

.variants ⇒ Array(Symbol, :auto, Integer)

Returns:

• (Array(Symbol, :auto, Integer))

# File 'lib/openai/models/fine_tuning/supervised_hyperparameters.rb', line 82

Instance Method Details

#self?.variants ⇒ ::Array[OpenAI::Models::FineTuning::SupervisedHyperparameters::n_epochs]

Returns:

• (::Array[OpenAI::Models::FineTuning::SupervisedHyperparameters::n_epochs])

# File 'sig/openai/models/fine_tuning/supervised_hyperparameters.rbs', line 63

def self?.variants: -> ::Array[OpenAI::Models::FineTuning::SupervisedHyperparameters::n_epochs]