Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>. More details can be found in Staniak, Biecek (2018) <doi:10.32614/RJ-2018-072>.
Version: 1.5.13 Depends: R (≥ 3.0.2) Imports: mlr, dplyr, breakDown, data.table, forestmodel, shiny, MASS, ggplot2, gower, e1071 Suggests: knitr, rmarkdown, testthat, glmnet, covr, DALEX, RWeka, mda, modeltools Published: 2020-01-15 DOI: 10.32614/CRAN.package.live Author: Mateusz Staniak [cre, aut], PrzemysÅaw Biecek [aut] Maintainer: Mateusz Staniak <mateusz.staniak at math.uni.wroc.pl> BugReports: https://github.com/ModelOriented/live/issues License: MIT + file LICENSE URL: https://github.com/ModelOriented/live NeedsCompilation: no Citation: live citation info Materials: README NEWS CRAN checks: live results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=live to link to this page.
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