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ale
View on CRAN: Click
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Download and install ale package within the R console
Install from CRAN:
install.packages("ale")
Install from Github:
library("remotes")
install_github("cran/ale")
Install by package version:
library("remotes")
install_version("ale", "0.3.0")
Attach the package and use:
library("ale")
Maintained by
Chitu Okoli
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-29
Latest Update: 2024-02-14
Description:
Accumulated Local Effects (ALE) were initially developed as a model-agnostic approach for global explanations of the results of black-box machine learning algorithms. ALE has a key advantage over other approaches like partial dependency plots (PDP) and SHapley Additive exPlanations (SHAP): its values represent a clean functional decomposition of the model. As such, ALE values are not affected by the presence or absence of interactions among variables in a mode. Moreover, its computation is relatively rapid. This package rewrites the original code from the 'ALEPlot' package for calculating ALE data and it completely reimplements the plotting of ALE values. It also extends the original ALE concept to add bootstrap-based confidence intervals and ALE-based statistics that can be used for statistical inference. For more details, see Okoli, Chitu. 2023.
How to cite:
Chitu Okoli (2023). ale: Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE). R package version 0.3.0, https://cran.r-project.org/web/packages/ale
Other packages that cited ale R package
View ale citation profile
Other R packages that ale depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ale R package
Some associated functions: ale . ale_ixn . census . model_bootstrap . var_cars .
Some associated R codes: ale_core.R . ale_package.R . calc_ale.R . calc_ale_ixn.R . data.R . model_bootstrap.R . plots.R . stats.R . utils.R . Full ale package functions and examples
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