The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | distillML.pdf |
| Package source: | distillML_0.1.0.13.tar.gz |
| Windows binaries: | r-devel: distillML_0.1.0.13.zip, r-release: distillML_0.1.0.13.zip, r-oldrel: distillML_0.1.0.13.zip |
| macOS binaries: | r-release (arm64): distillML_0.1.0.13.tgz, r-oldrel (arm64): distillML_0.1.0.13.tgz, r-release (x86_64): distillML_0.1.0.13.tgz, r-oldrel (x86_64): distillML_0.1.0.13.tgz |
| Old sources: | distillML archive |
Please use the canonical form https://CRAN.R-project.org/package=distillML to link to this page.
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.