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.

Overview

Installation

Run pip install mvtk.

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

Developers

Run pip install -e "mvtk[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

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.

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Comments
  • Add a Gitter chat badge to README.md

    Add a Gitter chat badge to README.md

    FINRAOS/model-validation-toolkit now has a Chat Room on Gitter

    @kood1 has just created a chat room. You can visit it here: https://gitter.im/FINRAOS/model-validation-toolkit.

    This pull-request adds this badge to your README.md:

    Gitter

    If my aim is a little off, please let me know.

    Happy chatting.

    PS: Click here if you would prefer not to receive automatic pull-requests from Gitter in future.

    opened by gitter-badger 0
  • Compatibility Issues with new M-series chip on Mac

    Compatibility Issues with new M-series chip on Mac

    Hello,

    It looks like the model validation toolkit is not handling the new apple chips.

    RuntimeError: This version of jaxlib was built using AVX instructions, which your CPU and/or operating system do not support. You may be able work around this issue by building jaxlib from source.
    
    opened by yanbronshtein 2
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