XAI method to explain distances in embedded spaces.
To install distance_explainer from GitHub repository, do:
git clone [email protected]:dianna-ai/distance_explainer.git
cd distance_explainer
python3 -m pip install .See our tutorial how to use this package. In short:
image1 = np.random.random((100, 100, 3))
image2 = np.random.random((100, 100, 3))
image2_embedded = model(image2)
explainer = DistanceExplainer(axis_labels={2: 'channels'})
attribution_map = explainer.explain_image_distance(model, image1, image2_embedded)If you want to contribute to the development of distance_explainer, have a look at the contribution guidelines.
This package was created with Cookiecutter and the NLeSC/python-template.