metric_utils

Module containing metrics utils for nlp tasks.

Members

get_default_token_scorers([use_avg_defaults])	Return the default scorers for token classification.
validate_scorers(scorers)	Validate the given scorer list.
get_scorer_dict([suffix, mode, scheme])	Return a dict of scorers for token classification.
init_validate_scorers(scorers, ...)	Initialize scorers and return all of them as deepchecks scorers.
infer_on_text_data(scorer, model, data[, ...])	Infer using DeepcheckScorer on NLP TextData using an NLP context _DummyModel.

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get_default_token_scorers