expybox 0.0.5

Jupyter notebook toolbox for model interpretability/explainability

ExpyBox

ExpyBox is a Jupyter notebook toolbox for model interpretability/explainability. It lets you create interactive Jupyter notebooks to explain your model.

Usage

This package is meant to be used inside of Jupyter notebook, other usage makes little to no sense. First you need to import and instantiate the ExpyBox class:

from expybox import ExpyBox
expybox = ExpyBox(predict_function, train_data, kernel_globals=globals())

Now you can use the supported interpretability methods, like this:

expybox.lime()

which creates a form like this:

Instalation

Because of alibi package ExpyBox requires 64-bit Python 3.7 or higher. It is also recommended to create separate virtual enviroment - you can use Pythons venv.

Otherwise the installation process is the same as for other packages, just use pip:

pip install expybox