This reference details all the utilities as well as the metrics and mitigation methods implemented so far in WEFE.
wefe
wefe.word_embedding_model.WordEmbeddingModel
wefe.query.Query
This list contains the metrics implemented in WEFE.
wefe.metrics.WEAT wefe.metrics.RND wefe.metrics.RNSB wefe.metrics.MAC wefe.metrics.ECT wefe.metrics.RIPA
This list contains the debiasing methods implemented so far in WEFE.
wefe.debias.hard_debias.HardDebias wefe.debias.multiclass_hard_debias.MulticlassHardDebias wefe.debias.repulsion_attraction_neutralization.RepulsionAttractionNeutralization wefe.debias.double_hard_debias.DoubleHardDebias wefe.debias.half_sibling_regression.HalfSiblingRegression
The following functions allow you to load sets of words used in previous studies.
wefe.datasets.load_bingliu wefe.datasets.fetch_debias_multiclass wefe.datasets.fetch_debiaswe wefe.datasets.fetch_eds wefe.datasets.load_weat
The following functions allow transforming sets of words and queries to embeddings. The documentation of the functions in this section are intended as a guide for WEFE developers.
wefe.preprocessing.preprocess_word wefe.preprocessing.get_embeddings_from_set wefe.preprocessing.get_embeddings_from_tuples wefe.preprocessing.get_embeddings_from_query
Collection of assorted utils.
wefe.utils.load_test_model wefe.utils.generate_subqueries_from_queries_list wefe.utils.run_queries wefe.utils.plot_queries_results wefe.utils.create_ranking wefe.utils.plot_ranking wefe.utils.calculate_ranking_correlations wefe.utils.plot_ranking_correlations wefe.utils.flair_to_gensim