utility_metrics package

Root imports for the tno.sdg.tabular.eval.utility_metrics package.

Submodules

• utility_metrics.bivariate_correlations module
  • avg_abs_correlation_difference()
  • avg_abs_correlation_difference_anova()
  • avg_abs_correlation_difference_cramers()
  • avg_abs_correlation_difference_pearson()
  • compute_anova_correlation()
  • compute_cramers_correlation_matrix()
  • compute_cramers_v()
  • compute_pearson_correlation_matrix()
  • compute_pearson_rho()
  • discretize_matrix()
  • visualise_cramers_correlation_matrices()
• utility_metrics.bivariate_distributions module
  • avg_abs_correlation_difference()
  • compute_cramers_correlation_matrix()
  • compute_cramers_v()
  • discretize_matrix()
  • visualise_cramers_correlation_matrices()
• utility_metrics.distinguishability module
  • logistical_regression_auc()
  • mean_propensity_difference_logistical_regression()
  • visualise_logistical_regression_auc()
  • visualise_propensity_scores()
• utility_metrics.multivariate_predictions_acc module
  • avg_abs_classification_accuracy_difference_svc()
  • calculate_accuracies_scores()
  • visualise_accuracies_scores()
• utility_metrics.multivariate_predictions_acc_regr module
  • avg_abs_prediction_differences_svm()
  • calculate_prediction_scores()
  • visualise_prediction_scores()
  • visualise_regression_scores()
• utility_metrics.spiderplot module
  • compute_all_metrics()
  • compute_spider_plot()
• utility_metrics.univariate_distributions module
  • average_hellinger_distance()
  • compute_hellinger_distance()
  • discrete_vector_to_distribution()
  • discretize_vector()
  • plot_categorical_bar()
  • plot_numerical_bar()
  • visualise_distributions()