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iml
View on CRAN: Click
here
Download and install iml package within the R console
Install from CRAN:
install.packages("iml")
Install from Github:
library("remotes")
install_github("cran/iml")
Install by package version:
library("remotes")
install_version("iml", "0.11.2")
Attach the package and use:
library("iml")
Maintained by
Giuseppe Casalicchio
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-13
Latest Update: 2022-09-08
Description:
Interpretability methods to analyze the behavior and
predictions of any machine learning model. Implemented methods are:
Feature importance described by Fisher et al. (2018)
, accumulated local effects plots described by Apley
(2018) , partial dependence plots described by
Friedman (2001) , individual conditional
expectation ('ice') plots described by Goldstein et al. (2013)
, local models (variant of 'lime')
described by Ribeiro et. al (2016) , the Shapley
Value described by Strumbelj et. al (2014)
, feature interactions described by
Friedman et. al and tree surrogate models.
How to cite:
Giuseppe Casalicchio (2018). iml: Interpretable Machine Learning. R package version 0.11.2, https://cran.r-project.org/web/packages/iml
Previous versions and publish date:
0.2.1 (2018-03-13 18:14), 0.3.0 (2018-04-10 10:22), 0.4.0 (2018-04-27 18:07), 0.5.1 (2018-05-15 09:36), 0.6.0 (2018-08-17 15:00), 0.7.0 (2018-09-11 17:20), 0.7.1 (2018-10-03 11:50), 0.8.0 (2018-12-20 14:10), 0.8.1 (2019-01-02 14:10), 0.9.0 (2019-02-05 19:43), 0.10.0 (2020-03-26 11:20), 0.10.1 (2020-09-24 14:30), 0.11.0 (2022-05-12 23:10), 0.11.1 (2022-09-08 11:53), 0.11.2 (2024-03-29 08:20)
Other packages that cited iml R package
View iml citation profile
Other R packages that iml depends,
imports, suggests or enhances
Functions, R codes and Examples using
the iml R package
Some associated functions: FeatureEffect . FeatureEffects . FeatureImp . Interaction . InterpretationMethod . LocalModel . Partial . Predictor . Shapley . TreeSurrogate . calculate.ale.cat . calculate.ale.num.cat . calculate.ale.num.num . calculate.ale.num . extract.glmnet.effects . has.predict . iml-package . impute_cells . order_levels . plot.FeatureEffect . plot.FeatureEffects . plot.FeatureImp . plot.Interaction . plot.LocalModel . plot.Shapley . plot.TreeSurrogate . predict.LocalModel . predict.TreeSurrogate . probs.to.labels .
Some associated R codes: Data.R . FeatureEffect-ale.R . FeatureEffect.R . FeatureEffects.R . FeatureImp.R . Interaction.R . InterpretationMethod.R . LocalModel.R . MarginalGenerator.R . Predictor.R . Shapley.R . TreeSurrogate.R . create_predict_fun.R . find_y.R . iml.R . inferTask.R . list_rules_party.R . utils.R . Full iml package functions and examples
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