Metadata-Version: 2.1
Name: parametrization-cookbook
Version: 0.16
Summary: Implementation and helpers of the Parametrization Cookbook
Home-page: UNKNOWN
Author: Jean-Benoist Leger
Author-email: jbleger@hds.utc.fr
License: MIT
Project-URL: Source, https://gitlab.com/jbleger/parametrization_cookbook
Project-URL: Documentation, https://jbleger.gitlab.io/parametrization-cookbook/index.html
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: numpy
Requires-Dist: scipy

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][doc] and [examples in the
documentation][doc].

To install:

```bash
pip install --upgrade parametrization-cookbook
```

[The documentation is available here.][doc]

[doc]: https://jbleger.gitlab.io/parametrization-cookbook/index.html


