TNO PET Lab
The TNO PET Lab consists of generic software components, procedures, and functionalities developed and maintained on a regular basis to facilitate and aid in the development of PET solutions. The lab is a cross-project initiative allowing us to integrate and reuse previously developed PET functionalities to boost the development of new protocols and solutions.
The package tno.sdg.tabular.eval.utility_metrics v0.3.0 is part of the TNO Python Toolbox.
tno.sdg.tabular.eval.utility_metrics’s documentation
Contents:
- utility_metrics package
- 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
- utility_metrics.distinguishability module
- utility_metrics.multivariate_predictions_acc module
- utility_metrics.multivariate_predictions_acc_regr module
- utility_metrics.spiderplot module
- utility_metrics.univariate_distributions module
- utility_metrics.bivariate_correlations module