parametrization-cookbook 0.17

Implementation and helpers of the Parametrization Cookbook

Parametrization Cookbook

This is a module to handle bijective parametrizations for using Machine Learning methods in Statistical Inference.

Common transformation of constrained problems to unconstrained problems are implemented. See the documentation and examples in the documentation.

To install:

pip install --upgrade parametrization-cookbook

The documentation is available here.