|
F
|
responsibly.we.utils.most_similar()
|
0
|
49
|
20
|
|
F
|
responsibly.we.weat.calc_all_weat()
|
0
|
56
|
15
|
|
C
|
responsibly.we.bias.BiasWordEmbedding.generate_analogies()
|
0
|
60
|
9
|
|
C
|
responsibly.we.bias.BiasWordEmbedding._identify_direction()
|
0
|
40
|
10
|
|
C
|
responsibly.we.bias.BiasWordEmbedding.learn_full_specific_words()
|
0
|
32
|
9
|
|
B
|
responsibly.we.bias.BiasWordEmbedding.debias()
|
0
|
23
|
8
|
|
B
|
responsibly.fairness.interventions.threshold.find_thresholds()
|
0
|
31
|
6
|
|
B
|
responsibly.we.bias.BiasWordEmbedding._equalize()
|
0
|
31
|
6
|
|
B
|
responsibly.we.weat.calc_single_weat()
|
0
|
32
|
5
|
|
B
|
responsibly.we.weat._filter_weat_data()
|
0
|
10
|
6
|
|
B
|
responsibly.fairness.metrics.binary.compare_privileged()
|
0
|
21
|
5
|
|
A
|
responsibly.we.bias.GenderBiasWE.__init__()
|
0
|
18
|
5
|
|
A
|
responsibly.fairness.metrics.binary.binary_stats_by_attr()
|
0
|
35
|
2
|
|
A
|
responsibly.we.bias.BiasWordEmbedding.plot_most_biased_clustering()
|
0
|
33
|
1
|
|
A
|
responsibly.we.bias.BiasWordEmbedding.plot_projection_scores()
|
0
|
31
|
4
|
ResponsiblyAI /
responsibly
