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DESCRIPTION
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DESCRIPTION
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Package: superml
Type: Package
Title: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
Version: 0.5.7
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(>= 3.6),
R6(>= 2.2)
Imports:
data.table (>= 1.10),
Rcpp (>= 1.0),
assertthat (>= 0.2),
Metrics (>= 0.1)
LinkingTo:
Rcpp,
BH,
RcppArmadillo
Suggests:
knitr,
rlang,
testthat,
rmarkdown,
naivebayes(>= 0.9),
ClusterR(>= 1.1),
FNN(>= 1.1),
ranger(>= 0.10),
caret(>= 6.0),
xgboost(>= 0.6),
glmnet(>= 2.0),
e1071(>= 1.7)
RoxygenNote: 7.3.1
VignetteBuilder: knitr