focus-cfe 0.0.dev1

FOCUS is a python package for generating counterfactual explanations for a tree-based model

Deployment & Documentation & Stats & License

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This library is an implementation of FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles.

FOCUS generates optimal distance counterfactual explanations to the original data for all the instances in tree‐based machine learning models.

FOCUS counterfactual explanation generation with 3 Lines of Code:

from focus import Focus
# Initialize Focus instance with default values
focus = Focus()
# Generate counterfactual explanations for given tree model and features
pertubed = focus.generate(tree_model, X)

Installation

It is recommended to use pip or conda for installation. Please make sure the latest version is installed:

pip install focus-cfe            # normal install
pip install --upgrade focus-cfe  # or update if needed

conda install -c conda-forge focus-cfe