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Visualizes the main effects of individual predictor variables and their second-order interaction effects in black-box supervised learning models. The package creates either Accumulated Local Effects (ALE) plots and/or Partial Dependence (PD) plots, given a fitted supervised learning model.
| Version: | 1.1 |
| Imports: | yaImpute |
| Suggests: | R.rsp, nnet |
| Published: | 2018-05-24 |
| Author: | Dan Apley |
| Maintainer: | Dan Apley <apley at northwestern.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | MachineLearning |
| CRAN checks: | ALEPlot results |
| Reference manual: | ALEPlot.pdf |
| Vignettes: |
AccumulatedLocalEffectPlot |
| Package source: | ALEPlot_1.1.tar.gz |
| Windows binaries: | r-devel: ALEPlot_1.1.zip, r-release: ALEPlot_1.1.zip, r-oldrel: ALEPlot_1.1.zip |
| macOS binaries: | r-release (arm64): ALEPlot_1.1.tgz, r-oldrel (arm64): ALEPlot_1.1.tgz, r-release (x86_64): ALEPlot_1.1.tgz, r-oldrel (x86_64): ALEPlot_1.1.tgz |
| Old sources: | ALEPlot archive |
| Reverse suggests: | ale, iml |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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