Package: superml
Type: Package
Title: Build Machine Learning Models Like Using Python's Scikit-Learn
        Library in R
Version: 0.2.0
Authors@R: person("Manish", "Saraswat", email = "manish06saraswat@gmail.com",
          role = c("aut", "cre"))
Maintainer: Manish Saraswat <manish06saraswat@gmail.com>
Description: The idea is to provide a standard interface 
             to users who use both R and Python for building machine learning models. 
             This package provides a scikit-learn's fit, predict interface to 
             train machine learning models in R.    
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/saraswatmks/superml
BugReports: https://github.com/saraswatmks/superml/issues
Depends: R(>= 3.4), R6(>= 2.2)
Imports: data.table(>= 1.10), assertthat(>= 0.2), Metrics(>= 0.1),
        xgboost(>= 0.6), glmnet(>= 2.0), parallel, kableExtra, tm(>=
        0.7), naivebayes(>= 0.9), ClusterR(>= 1.1), FNN(>= 1.1),
        liquidSVM(>= 1.2), ranger(>= 0.10), caret(>= 6.0),
        doParallel(>= 1.0)
Suggests: knitr, rlang, testthat, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-04 20:26:19 UTC; manish
Author: Manish Saraswat [aut, cre]
Repository: CRAN
Date/Publication: 2019-01-07 23:00:06 UTC
