An R re-implementation of the 'treeinterpreter' package on PyPI <https://pypi.org/project/treeinterpreter/>. Each prediction can be decomposed as 'prediction = bias + feature_1_contribution + ... + feature_n_contribution'. This decomposition is then used to calculate the Mean Decrease Impurity (MDI) and Mean Decrease Impurity using out-of-bag samples (MDI-oob) feature importance measures based on the work of Li et al. (2019) <arXiv:1906.10845>.
| Version: | 0.1.0 |
| Imports: | Rcpp (≥ 1.0.2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | MASS, randomForest, ranger, testthat (≥ 2.1.0), knitr, rmarkdown, covr |
| Published: | 2019-10-30 |
| Author: | Qingyao Sun |
| Maintainer: | Qingyao Sun <sunqingyao19970825 at gmail.com> |
| BugReports: | https://github.com/nalzok/tree.interpreter/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/nalzok/tree.interpreter |
| NeedsCompilation: | yes |
| Citation: | tree.interpreter citation info |
| Materials: | README |
| CRAN checks: | tree.interpreter results |
| Reference manual: | tree.interpreter.pdf |
| Vignettes: |
MDI |
| Package source: | tree.interpreter_0.1.0.tar.gz |
| Windows binaries: | r-devel: tree.interpreter_0.1.0.zip, r-devel-gcc8: tree.interpreter_0.1.0.zip, r-release: tree.interpreter_0.1.0.zip, r-oldrel: tree.interpreter_0.1.0.zip |
| OS X binaries: | r-release: tree.interpreter_0.1.0.tgz, r-oldrel: tree.interpreter_0.1.0.tgz |
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