fmeffects-package: fmeffects
In fmeffects: Model-Agnostic Interpretations with Forward Marginal Effects
fmeffects-package R Documentation
fmeffects
Description
Computes forward marginal effects (FME) for arbitrary supervised machine learning models. You provide a model and data, and 'fmeffects' gives you feature effects.
Author(s)
Maintainer: Holger Löwe hbj.loewe@gmail.com
Authors:
Christian Scholbeck christian.scholbeck@stat.uni-muenchen.de
Other contributors:
Christian Heumann christian.heumann@stat.uni-muenchen.de [reviewer]
Bernd Bischl bernd.bischl@stat.uni-muenchen.de [reviewer]
Giuseppe Casalicchio giuseppe.casalicchio@stat.uni-muenchen.de [reviewer]
See Also
Useful links:
fmeffects documentation built on June 22, 2024, 9:32 a.m.
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| fmeffects-package | R Documentation |
fmeffects
Description
Computes forward marginal effects (FME) for arbitrary supervised machine learning models. You provide a model and data, and 'fmeffects' gives you feature effects.
Author(s)
Maintainer: Holger Löwe hbj.loewe@gmail.com
Authors:
Christian Scholbeck christian.scholbeck@stat.uni-muenchen.de
Other contributors:
Christian Heumann christian.heumann@stat.uni-muenchen.de [reviewer]
Bernd Bischl bernd.bischl@stat.uni-muenchen.de [reviewer]
Giuseppe Casalicchio giuseppe.casalicchio@stat.uni-muenchen.de [reviewer]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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