Class: OpenAI::Models::FineTuning::FineTuningJob::Method

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• OpenAI::Models::FineTuning::FineTuningJob::Method

Defined in:

lib/openai/models/fine_tuning/fine_tuning_job.rb

Overview

See Also:

• #method_

Defined Under Namespace

Modules: Type

Instance Attribute Summary

• #dpo ⇒ OpenAI::Models::FineTuning::DpoMethod^?

  Configuration for the DPO fine-tuning method.

• #reinforcement ⇒ OpenAI::Models::FineTuning::ReinforcementMethod^?

  Configuration for the reinforcement fine-tuning method.

• #supervised ⇒ OpenAI::Models::FineTuning::SupervisedMethod^?

  Configuration for the supervised fine-tuning method.

• #type ⇒ Symbol, OpenAI::Models::FineTuning::FineTuningJob::Method::Type

  The type of method.

Instance Method Summary

• #initialize(type: , dpo: nil, reinforcement: nil, supervised: nil) ⇒ Object constructor

  The method used for fine-tuning.

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(type: , dpo: nil, reinforcement: nil, supervised: nil) ⇒ Object

The method used for fine-tuning.

Parameters:

• type (Symbol, OpenAI::Models::FineTuning::FineTuningJob::Method::Type) (defaults to: ) —

  The type of method. Is either ‘supervised`, `dpo`, or `reinforcement`.

• dpo (OpenAI::Models::FineTuning::DpoMethod) (defaults to: nil) —

  Configuration for the DPO fine-tuning method.

• reinforcement (OpenAI::Models::FineTuning::ReinforcementMethod) (defaults to: nil) —

  Configuration for the reinforcement fine-tuning method.

• supervised (OpenAI::Models::FineTuning::SupervisedMethod) (defaults to: nil) —

  Configuration for the supervised fine-tuning method.

# File 'lib/openai/models/fine_tuning/fine_tuning_job.rb', line 352

Instance Attribute Details

#dpo ⇒ OpenAI::Models::FineTuning::DpoMethod^?

Configuration for the DPO fine-tuning method.

Returns:

• (OpenAI::Models::FineTuning::DpoMethod, nil)

# File 'lib/openai/models/fine_tuning/fine_tuning_job.rb', line 338

optional :dpo, -> { OpenAI::FineTuning::DpoMethod }

#reinforcement ⇒ OpenAI::Models::FineTuning::ReinforcementMethod^?

Configuration for the reinforcement fine-tuning method.

Returns:

• (OpenAI::Models::FineTuning::ReinforcementMethod, nil)

# File 'lib/openai/models/fine_tuning/fine_tuning_job.rb', line 344

optional :reinforcement, -> { OpenAI::FineTuning::ReinforcementMethod }

#supervised ⇒ OpenAI::Models::FineTuning::SupervisedMethod^?

Configuration for the supervised fine-tuning method.

Returns:

• (OpenAI::Models::FineTuning::SupervisedMethod, nil)

# File 'lib/openai/models/fine_tuning/fine_tuning_job.rb', line 350

optional :supervised, -> { OpenAI::FineTuning::SupervisedMethod }

#type ⇒ Symbol, OpenAI::Models::FineTuning::FineTuningJob::Method::Type

The type of method. Is either ‘supervised`, `dpo`, or `reinforcement`.

Returns:

• (Symbol, OpenAI::Models::FineTuning::FineTuningJob::Method::Type)

# File 'lib/openai/models/fine_tuning/fine_tuning_job.rb', line 332

required :type, enum: -> { OpenAI::FineTuning::FineTuningJob::Method::Type }