v0.5.0

v0.5.0 (2020-06-10)

Full Changelog

This version supports Python 3.6 and 3.7 as support for Python 3.5 is dropped.

Added

• New feature TreeSHAP explainer for white-box, tree based model SHAP value computation
• New feature ALE explainer for computing feature effects for black-box, tabular data models
• New feature IntegratedGradients explainer for computing feature attributions for TensorFlow and Keras models
• Experimental utils.visualization module currently containing visualization functions for IntegratedGradients on image datasets.The location, implementation and content of the module and functions therein are subject to change.
• Extend datasets.fetch_imagenet to work with any class
• Extend utils.data.gen_category_map to take a list of strings of column names

Changed

• Internal refactoring of KernelSHAP to reuse functionality for TreeSHAP. Both SHAP wrappers
  are now under explainers.shap_wrappers
• Tests are now split into two runs, one with TensorFlow in eager mode which is necessary for using IntegratedGradients
• Added typing-extensions library as a requirement to take advantage of more precise types
• Pinned scikit-image<0.17 due to a regression upstream
• Pinned Sphinx<3.0 for documentation builds due to some issues with the m2r plugin

Fixed

• Various improvements to documentation
• Some tests were importing old keras functions instead of tensorflow.keras