Installation
About
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)
| holgstr.github.io/fmeffects/ | |
| github.com/holgstr/fmeffects | |
| Bug report | File report |
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