Class: OpenAI::Models::Graders::ScoreModelGrader

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• OpenAI::Models::Graders::ScoreModelGrader

Defined in:

lib/openai/models/graders/score_model_grader.rb

Direct Known Subclasses

EvalCreateParams::TestingCriterion::ScoreModel, EvalCreateResponse::TestingCriterion::EvalGraderScoreModel, EvalListResponse::TestingCriterion::EvalGraderScoreModel, EvalRetrieveResponse::TestingCriterion::EvalGraderScoreModel, EvalUpdateResponse::TestingCriterion::EvalGraderScoreModel

Defined Under Namespace

Classes: Input

Instance Attribute Summary

• #input ⇒ Array<OpenAI::Models::Graders::ScoreModelGrader::Input>

  The input text.

• #model ⇒ String

  The model to use for the evaluation.

• #name ⇒ String

  The name of the grader.

• #range ⇒ Array<Float>^?

  The range of the score.

• #sampling_params ⇒ Object^?

  The sampling parameters for the model.

• #type ⇒ Symbol, :score_model

  The object type, which is always ‘score_model`.

Method Summary

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, #initialize, 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

This class inherits a constructor from OpenAI::Internal::Type::BaseModel

Instance Attribute Details

#input ⇒ Array<OpenAI::Models::Graders::ScoreModelGrader::Input>

The input text. This may include template strings.

Returns:

• (Array<OpenAI::Models::Graders::ScoreModelGrader::Input>)

# File 'lib/openai/models/graders/score_model_grader.rb', line 11

required :input, -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Graders::ScoreModelGrader::Input] }

#model ⇒ String

The model to use for the evaluation.

Returns:

• (String)

# File 'lib/openai/models/graders/score_model_grader.rb', line 17

required :model, String

#name ⇒ String

The name of the grader.

Returns:

• (String)

# File 'lib/openai/models/graders/score_model_grader.rb', line 23

required :name, String

#range ⇒ Array<Float>^?

The range of the score. Defaults to ‘[0, 1]`.

Returns:

• (Array<Float>, nil)

# File 'lib/openai/models/graders/score_model_grader.rb', line 35

optional :range, OpenAI::Internal::Type::ArrayOf[Float]

#sampling_params ⇒ Object^?

The sampling parameters for the model.

Returns:

• (Object, nil)

# File 'lib/openai/models/graders/score_model_grader.rb', line 41

optional :sampling_params, OpenAI::Internal::Type::Unknown

#type ⇒ Symbol, :score_model

The object type, which is always ‘score_model`.

Returns:

• (Symbol, :score_model)

# File 'lib/openai/models/graders/score_model_grader.rb', line 29

required :type, const: :score_model