Changelog

Version 0.0.2a

• Add show_ks_curve function and enhance summarize_model_performance by @lshpaner in https://github.com/lshpaner/model_metrics/pull/1

• Add plot_threshold_metrics Function by @lshpaner in https://github.com/lshpaner/model_metrics/pull/2

• Add pr_feature_plot and Update roc_feature_plot for Enhanced Visualization by @lshpaner in https://github.com/lshpaner/model_metrics/pull/3

• Reg table enhance by @lshpaner in https://github.com/lshpaner/model_metrics/pull/4

• Rmvd (%) from MAPE header by @lshpaner in https://github.com/lshpaner/model_metrics/pull/5

• Moved roc legend to lower right default by @lshpaner in https://github.com/lshpaner/model_metrics/pull/6

• Allow Flexible Inputs and Save Behavior for show_roc_curve() by @lshpaner in https://github.com/lshpaner/model_metrics/pull/7

• Prcurve calc tests by @lshpaner in https://github.com/lshpaner/model_metrics/pull/8

• Removed unused imports and functions by @lshpaner in https://github.com/lshpaner/model_metrics/pull/9

• changed saving nomenclature in show_confusion_matrix by @lshpaner in https://github.com/lshpaner/model_metrics/pull/10

• Fix Calibration Curve Grid Plot Behavior and Update Model Nomenclature by @lshpaner in https://github.com/lshpaner/model_metrics/pull/11

• Improved support for multiple models and group categories in calibration curve by @lshpaner in https://github.com/lshpaner/model_metrics/pull/13

• Upd. plot_threshold_metrics w/ new lookup_kwgs and legend logic by @lshpaner in https://github.com/lshpaner/model_metrics/pull/14

• Rmv. unused arguments by @lshpaner in https://github.com/lshpaner/model_metrics/pull/15

• Move PDF-related Functions from eda_toolkit to model_metrics by @lshpaner in https://github.com/lshpaner/model_metrics/pull/16

Full Changelog: https://github.com/lshpaner/model_metrics/compare/0.0.1a…0.0.2a

Version 0.0.1a

• Updated unit tests and README

• Added statsmodels to library imports

• Added coefficients and p-values to regression summary

• Added regression capabilities to summarize_model_performance

• Added lift and gains charts

• Updated versions for earlier Python compatibility