lorepy version 0.4.4

Internal function _get_uncertainty_data now exposes raw data, which can be leveraged to do additional statistics.

lorepy version 0.4.3

added option to specify existing axes for uncertainty plots. This can be used to integrate these into multi-panel plots along with other plots

lorepy version 0.4.2

Few under the hood changes to tackle deprecation warnings. Note that as of this version support for Python 3.8 has been dropped and a more recent version of scikit-learn is required.

lorepy version 0.4.0

Added uncertainty_plot which allows the uncertainty on group prevalence to be visualized.

lorepy version 0.3.0

Support to handle confounders added

lorepy version 0.2.1

Repo has been restructured (implementing best practice), other changes are at the repo level and won't affect users.

lorepy version 0.2.0

The logistic regression can now be swapped by any classifier that supports .fit() and .predict_proba() e.g. SVC and RandomForest.

lorepy version 0.1.1

Minor bump in version and first version pushed to pypi

lorepy version 0.1.0

First release of lorepy, a python package to create logistic regression plots which visualize the relation between a continuous variable and a categorical one.