DESCRIPTION

Package: DALEXtra
Title: Extension for 'DALEX' Package
Version: 2.3.0
Authors@R:
    c(person(given = "Szymon",
           family = "Maksymiuk",
           role = c("aut", "cre"),
           email = "sz.maksymiuk@gmail.com",
           comment = c(ORCID = "0000-0002-3120-1601")),
      person(given = "Przemyslaw", 
             family = "Biecek", 
             email = "przemyslaw.biecek@gmail.com", 
             role = c("aut"), 
             comment = c(ORCID = "0000-0001-8423-1823")),
	    person("Hubert", "Baniecki", role = "aut"),
	    person("Anna", "Kozak", role = "ctb"))
Description: Provides wrapper of various machine learning models. 
  In applied machine learning, there 
  is a strong belief that we need to strike a balance 
  between interpretability and accuracy. 
  However, in field of the interpretable machine learning, 
  there are more and more new ideas for explaining black-box models, 
  that are implemented in 'R'. 
  'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models
  including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. 
  Important part of the package is Champion-Challenger analysis and innovative approach
  to model performance across subsets of test data presented in Funnel Plot. 
Depends: 
  R (>= 3.5.0),
  DALEX (>= 2.4.0)
License: GPL
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: 
  ggplot2
Suggests:
  auditor,
  gbm,
  ggrepel,
  h2o,
  iml,
  ingredients,
  lime,
  localModel,
  mlr,
  mlr3,
  ranger,
  recipes,
  reticulate,
  rmarkdown,
  rpart,
  stacks,
  xgboost,
  testthat,
  tidymodels
URL: https://ModelOriented.github.io/DALEXtra/, https://github.com/ModelOriented/DALEXtra
BugReports: https://github.com/ModelOriented/DALEXtra/issues