0.1.0
User Guide
API Reference
Contributing
Synthesized
GitHub
Twitter
fairlens.sensitive
fairlens.sensitive.correlation
fairlens.sensitive.find_column_correlation
fairlens.sensitive.find_sensitive_correlations
fairlens.sensitive.detection
fairlens.sensitive.detect_names_df
fairlens.sensitive.load_config
fairlens.metrics
fairlens.metrics.correlation
fairlens.metrics.cramers_v
fairlens.metrics.distance_cn_correlation
fairlens.metrics.distance_nn_correlation
fairlens.metrics.kruskal_wallis
fairlens.metrics.kruskal_wallis_boolean
fairlens.metrics.pearson
fairlens.metrics.r2_mcfadden
fairlens.metrics.distance
fairlens.metrics.BinomialDistance
fairlens.metrics.CategoricalDistanceMetric
fairlens.metrics.ContinuousDistanceMetric
fairlens.metrics.DistanceMetric
fairlens.metrics.EarthMoversDistance
fairlens.metrics.HellingerDistance
fairlens.metrics.JensenShannonDivergence
fairlens.metrics.KolmogorovSmirnovDistance
fairlens.metrics.KruskalWallis
fairlens.metrics.KullbackLeiblerDivergence
fairlens.metrics.MeanDistance
fairlens.metrics.Norm
fairlens.metrics.significance
fairlens.metrics.binominal_proportion_interval
fairlens.metrics.binominal_proportion_p_value
fairlens.metrics.bootstrap_binned_statistic
fairlens.metrics.bootstrap_statistic
fairlens.metrics.permutation_statistic
fairlens.metrics.resampling_interval
fairlens.metrics.resampling_p_value
fairlens.metrics.unified
fairlens.metrics.auto_distance
fairlens.metrics.correlation_matrix
fairlens.metrics.stat_distance
fairlens.plot
fairlens.plot.distr
fairlens.plot.attr_distr_plot
fairlens.plot.distr_plot
fairlens.plot.mult_distr_plot
fairlens.plot.heatmap
fairlens.plot.two_column_heatmap
fairlens.plot.style
fairlens.plot.reset_style
fairlens.plot.use_style
fairlens.scorer
fairlens.calculate_score
fairlens.FairnessScorer
fairlens.plot.use_style
¶
use_style
(
)
[source]
¶
Set the default seaborn style to a predefined style that works well with the package.
fairlens.plot.reset_style
fairlens.scorer