Class: OpenAI::Models::FineTuning::ReinforcementMethod

Inherits:
Internal::Type::BaseModel show all
Defined in:
lib/openai/models/fine_tuning/reinforcement_method.rb

Defined Under Namespace

Modules: Grader

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

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

Constructor Details

#initialize(grader: , hyperparameters: nil) ⇒ Object

Configuration for the reinforcement fine-tuning method.

Parameters:



# File 'lib/openai/models/fine_tuning/reinforcement_method.rb', line 19

Instance Attribute Details

#graderOpenAI::Models::Graders::StringCheckGrader, ...

The grader used for the fine-tuning job.



11
# File 'lib/openai/models/fine_tuning/reinforcement_method.rb', line 11

required :grader, union: -> { OpenAI::FineTuning::ReinforcementMethod::Grader }

#hyperparametersOpenAI::Models::FineTuning::ReinforcementHyperparameters?

The hyperparameters used for the reinforcement fine-tuning job.



17
# File 'lib/openai/models/fine_tuning/reinforcement_method.rb', line 17

optional :hyperparameters, -> { OpenAI::FineTuning::ReinforcementHyperparameters }