Provides several methods for model distillation and interpretability
for general black box machine learning models and treatment effect estimation
methods. For details on the algorithms implemented, see <https://forestry-labs.github.io/distillML/index.html>
Brian Cho, Theo F. Saarinen, Jasjeet S. Sekhon, Simon Walter.
| Version: |
0.1.0.13 |
| Imports: |
ggplot2, glmnet, Rforestry, dplyr, R6 (≥ 2.0), checkmate, purrr, tidyr, data.table, mltools, gridExtra |
| Suggests: |
testthat, knitr, rmarkdown, mvtnorm |
| Published: |
2023-03-25 |
| DOI: |
10.32614/CRAN.package.distillML |
| Author: |
Brian Cho [aut],
Theo Saarinen [aut, cre],
Jasjeet Sekhon [aut],
Simon Walter [aut] |
| Maintainer: |
Theo Saarinen <theo_s at berkeley.edu> |
| BugReports: |
https://github.com/forestry-labs/distillML/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/forestry-labs/distillML |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
distillML results [issues need fixing before 2025-04-05] |