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distillML  

Model Distillation and Interpretability Methods for Machine Learning Models
View on CRAN: Click here


Download and install distillML package within the R console
Install from CRAN:
install.packages("distillML")

Install from Github:
library("remotes")
install_github("cran/distillML")

Install by package version:
library("remotes")
install_version("distillML", "0.1.0.13")



Attach the package and use:
library("distillML")
Maintained by
Theo Saarinen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-07
Latest Update: 2023-03-25
Description:
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 Brian Cho, Theo F. Saarinen, Jasjeet S. Sekhon, Simon Walter.
How to cite:
Theo Saarinen (2022). distillML: Model Distillation and Interpretability Methods for Machine Learning Models. R package version 0.1.0.13, https://cran.r-project.org/web/packages/distillML. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0.9 (2022-07-07 10:50)
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