Type: Package
Package: iml
Title: Interpretable Machine Learning
Version: 0.10.0
Authors@R: 
    c(person(given = "Christoph",
             family = "Molnar",
             role = c("aut", "cre"),
             email = "christoph.molnar@gmail.com"),
      person(given = "Patrick",
             family = "Schratz",
             role = "aut",
             email = "patrick.schratz@gmail.com",
             comment = c(ORCID = "0000-0003-0748-6624")))
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>
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)
    <arXiv:1801.01489>, accumulated local effects plots described by Apley
    (2018) <arXiv:1612.08468>, partial dependence plots described by
    Friedman (2001) <http://www.jstor.org/stable/2699986>, individual
    conditional expectation ('ice') plots described by Goldstein et al.
    (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of
    'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the
    Shapley Value described by Strumbelj et. al (2014)
    <doi:10.1007/s10115-013-0679-x>, feature interactions described by
    Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
License: MIT + file LICENSE
URL: https://github.com/christophM/iml
BugReports: https://github.com/christophM/iml/issues
Imports: checkmate, data.table, Formula, future, future.apply, ggplot2,
        gridExtra, Metrics, prediction, R6
Suggests: ALEPlot, bench, caret, covr, e1071, future.callr, glmnet,
        gower, h2o, keras, knitr, MASS, mlr, mlr3, party, partykit,
        patchwork, randomForest, ranger, rmarkdown, rpart, testthat,
        yaImpute
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-03-26 09:13:40 UTC; chris
Author: Christoph Molnar [aut, cre],
  Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Repository: CRAN
Date/Publication: 2020-03-26 10:20:03 UTC
