Model Validation Tookit

Installation

Run pip install mvtk.

Windows users: Until Jaxlib is supported on windows
natively you will need to either use
this library from a Linux subsystem or within a Docker container.
Alternatively, you can build jaxlib from
source.

Developers

Check out this repository and cd into the directory.

Run pip install -e ".[doc]".

The [doc] is used to install dependencies for building documentation.

Submodules

You can import:

• mvtk.credibility for assessing credibility from sample size.
• mvtk.interprenet for building interpretable neural nets.
• mvtk.thresholding for adaptive thresholding.
• mvtk.sobol for Sobol sensitivity analysis
• mvtk.supervisor for divergence anlysis
• mvtk.metrics for specialised metrics

Documentation

You can run make -C docs html on a Mac or make.bat -C docs html on a PC to just rebuild the docs. In this case, point your browser to docs/_build/html/index.html to view the homepage. If your browser was already pointing to documentation that you changed, you can refresh the page to see the changes.

GitHub

GitHub - FINRAOS/model-validation-toolkit at pythonawesome.com

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production. - GitHu...

GitHubFINRAOS