Class: OpenAI::Models::EvalUpdateResponse::TestingCriterion::EvalGraderPython

Inherits:

Graders::PythonGrader

• Object
• Internal::Type::BaseModel
• Graders::PythonGrader
• OpenAI::Models::EvalUpdateResponse::TestingCriterion::EvalGraderPython

Defined in:

lib/openai/models/eval_update_response.rb,
sig/openai/models/eval_update_response.rbs

Instance Attribute Summary

• #pass_threshold ⇒ Float^?

  The threshold for the score.

Attributes inherited from Graders::PythonGrader

#image_tag, #name, #source, #type

Instance Method Summary

• #initialize ⇒ EvalGraderPython constructor

  A new instance of EvalGraderPython.

• #to_hash ⇒ { pass_threshold: Float }

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, meta_info, new_coerce_state, 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 ⇒ EvalGraderPython

Returns a new instance of EvalGraderPython.

Parameters:

• pass_threshold: (Float)

# File 'sig/openai/models/eval_update_response.rbs', line 116

def initialize: (?pass_threshold: Float) -> void

Instance Attribute Details

#pass_threshold ⇒ Float^?

The threshold for the score.

Parameters:

• _ (Float)

Returns:

• (Float, nil)

# File 'lib/openai/models/eval_update_response.rb', line 188

optional :pass_threshold, Float

Instance Method Details

#to_hash ⇒ { pass_threshold: Float }

Returns:

• ({ pass_threshold: Float })

# File 'sig/openai/models/eval_update_response.rbs', line 118

def to_hash: -> { pass_threshold: Float }