fairlens.metrics.correlation#
Collection of metrics, tests that measure the correlation between two univariate distributions.
Functions
Metric that calculates the corrected Cramer's V statistic for categorical-categorical correlations, used in heatmap generation. |
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Metric that uses non-linear correlation distance to obtain a correlation coefficient for categorical-numerical column pairs. |
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Metric that uses non-linear correlation distance to obtain a correlation coefficient for numerical-numerical column pairs. |
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Metric that uses the Kruskal-Wallis H Test to obtain a p-value indicating the possibility that a categorical and numerical series are not correlated, used in heatmap generation. |
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Metric that uses the Kruskal-Wallis H Test to obtain a p-value that is used to determine whether the possibility that the columns obtained by grouping the continuous series by the categorical series come from the same distribution. |
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Metric that calculates Pearson's correlation coefficent for numerical-numerical pairs of series, used in heatmap generation. |
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Metric used for categorical-numerical continuous. |