Model-Agnostic Interpretations with Forward Marginal Effects. Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <d
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curl https://depscope.dev/api/check/cran/fmeffectsFirst published · 2024-11-05 19:46:13
Last updated · 2024-11-05T17:50:02+00:00