| Name | parametrization-cookbook JSON |
| Version |
0.18
JSON |
| download |
| home_page | |
| Summary | Implementation and helpers of the Parametrization Cookbook |
| upload_time | 2022-12-28 15:26:11 |
| maintainer | |
| docs_url | None |
| author | Jean-Benoist Leger |
| requires_python | >=3 |
| license | MIT |
| keywords |
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| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
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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
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