arthur_bench.scoring.exact_match.ExactMatch#

class arthur_bench.scoring.exact_match.ExactMatch(case_sensitive=True)#

Returns 1 if candidate matches reference, 0 if candidate does not match reference.

__init__(case_sensitive=True)#

Methods

__init__([case_sensitive])

arun(candidate_outputs[, reference_outputs, ...])

Async version of run method.

arun_batch(candidate_batch[, ...])

Async version of run_batch method.

categories()

All possible values returned by the scorer if output type is categorical.

from_dict(config)

Load a scorer from a json configuration file.

is_categorical()

Whether the scorer is continuous or categorical.

name()

Get the name of this Scorer :return: the Scorer name

requires_reference()

True if scorer requires reference output to compute score, False otherwise

run(candidate_outputs[, reference_outputs, ...])

Score a set of test cases.

run_batch(candidate_batch[, ...])

Score a batch of candidate generations.

to_dict([warn])

Provides a json serializable representation of the scorer.

to_metadata()

type()

Supplies whether a scorer is built-in or custom.