ValidMind Developer Framework

ValidMind's Developer Framework is a library of developer tools and methods designed to run validation tests and automate the documentation of your models. The Developer Framework provides a rich suite of documentation tools and test suites, from documenting descriptions of your dataset to testing your models for weak spots and overfit areas.

The Developer Framework includes the Python client library, which is designed to be model agnostic. If your model is built in Python, ValidMind's Python library will provide all the standard functionality without requiring your developers to rewrite any functions.

Contributing to the ValidMind Developer Framework

We believe in the power of collaboration and welcome contributions to the ValidMind Developer Framework. If you've noticed a bug, have a feature request, or want to contribute a test, please create a pull request or submit an issue and refer to the contributing guide below.

• Interested in connecting with fellow AI model risk practitioners? Join our Community Slack!

• For more information about ValidMind's open source tests and Jupyter notebooks, read the Developer Framework docs.

Getting started

Install from PyPI

pip install validmind

Install with Hugging Face transformers support

pip install validmind[transformers]

Install with PyTorch support

pip install validmind[pytorch]

Install with R support (requires R to be installed)

pip install validmind[r-support]

How to contribute

Install dependencies

• Ensure you have poetry installed: https://python-poetry.org/

• After cloning this repo, run:

make install

This will install the dependencies and git hooks for the project.

• To run Jupyter notebooks using the source code from the repo, you can use poetry to register a new kernel with Jupyter:

poetry run python -m ipykernel install --user --name dev-framework --display-name "Developer Framework"

Installing LLM validation dependencies

You can install the transformers, torch and openai dependencies using the llm extra. This will install the Hugging Face transformers and PyTorch libraries as well as the OpenAI SDK for running the LLM validation examples:

poetry install --extras llm

Installing R dependencies

If you want to use the R support that is provided by the ValidMind Developer Framework, you must have R installed on your machine. You can download R from https://cran.r-project.org/. On a Mac, you can install R using Homebrew:

brew install r

Once you have R installed, install the r-support extra to install the necessary dependencies for R by running:

poetry install --extras r-support

Versioning

Make sure you bump the package version before merging a PR with the following command:

make version tag=patch

The value of tag corresponds to one of the options provided by Poetry: https://python-poetry.org/docs/cli/#version

Generating API Reference Docs

The API reference documentation you see in our docs site is generated in HTML format with pdoc with the following command:

# Generate HTML
make docs

The resulting docs are written to docs/pdoc/_build.

Adding a Copyright Header

When adding new files to the project, you can add the ValidMind copyright header to any files that are missing it by running:

make copyright

Known Issues

ValidMind wheel errors

If you run into an error related to the ValidMind wheel, try:

poetry add wheel
poetry update wheel
poetry install

If there are lightgbm errors partway through, run remove lightgbm, followed by poetry update wheel and poetry install.