DESCRIPTION

Package: xrf
Title: eXtreme RuleFit
Version: 0.2.0
Authors@R: person("Karl", "Holub", email = "karljholub@gmail.com", role = c("aut", "cre"))
Description: An implementation of the RuleFit algorithm as described in Friedman & Popescu 
  (2008) <doi:10.1214/07-AOAS148>. eXtreme Gradient Boosting ('XGBoost') is used 
  to build rules, and 'glmnet' is used to fit a sparse linear model on the raw and rule features. The result
  is a model that learns similarly to a tree ensemble, while often offering improved interpretability
  and achieving improved scoring runtime in live applications. Several algorithms for
  reducing rule complexity are provided, most notably hyperrectangle de-overlapping. All algorithms scale to 
  several million rows and support sparse representations to handle tens of thousands of dimensions.
URL: https://github.com/holub008/xrf
BugReports: https://github.com/holub008/xrf/issues
Depends: 
    R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: 
    Matrix,
    glmnet (>= 3.0),
    xgboost (>= 0.71.2),
    dplyr,
    fuzzyjoin,
    rlang,
    methods,
    sgd
Suggests: 
    testthat,
    covr