teex 0.1a1

A Toolbox for the Evaluation of Explanations

teex

A Python Toolbox for the Evaluation of machine learning Explanations.

This project aims to provide a simple way of evaluating all kinds of individual black box explanations. Moreover, it contains a collection of easy-to-access datasets with available ground truth explanations.

Installation

The teex package is on PyPI. To install it, simply run

pip install teex

Note that Python >= 3.5 is required.

Tutorials and API

The full API documentation can be found on Read The Docs.

Here are some sample notebooks on basic usages and examples:

• Generating image data with g.t. saliency map explanations

Datasets

To use a dataset, simply search the one you want in the API documentation and:

from teex import datasets

data = datasets.Kahikatea()
X, y, explanations = data[:100]

Contributing

Before contributing to teex, please take a moment to read the manual.