Verhulst is an MIT-licensed Python library for evaluating binary logistic regressions fitted with scikit-learn.

Statistical Analysis

• Pearson Chi-Square Statistic and Deviance
• Hosmer–Lemeshow Tests
• Likelihood Measures
• Summary Measures
• Casewise Statistics

Plotting

• Diagnostic Plots
• Residual Plots
• Goodness-of-Fit Plots

Verhulst supports Python 3.2, 3.3, and 3.4.

pip can install Verhulst from GitHub:

pip install git+git://github.com/rpetchler/verhulst.git

The following packages are dependencies for Verhulst:

• numpy
• scipy
• matplotlib

In addition, the statsmodels.distributions module is vendorized.

Documentation is written in reStructured Text and numpydoc and generated by Sphinx. The Makefile in docs/ contains targets for HTML and PDF documentation. The following command generates HTML documentation:

$ make html

Run a local webserver (e.g., python3 -m http.server) in the directory docs/_build/html/ in order to view the documentation in a web browser.