Package: FeatureHashing
Type: Package
Title: Creates a Model Matrix via Feature Hashing with a Formula
        Interface
Version: 0.9.1.5
Date: 2022-10-23
Authors@R: c(
  person("Wush", "Wu", email = "wush978@gmail.com", role = c("aut", "cre")), 
  person("Michael", "Benesty", email = "michael@benesty.fr", role = c("aut", "ctb")))
Maintainer: Wush Wu <wush978@gmail.com>
Description: Feature hashing, also called as the hashing trick, is a method to transform 
  features of a instance to a vector. Thus, it is a method to transform a real dataset to a matrix. 
  Without looking up the indices in an associative array, 
  it applies a hash function to the features and uses their hash values as indices directly.
  The method of feature hashing in this package was proposed in Weinberger et al. (2009) <arXiv:0902.2206>. 
  The hashing algorithm is the murmurhash3 from the 'digest' package. 
  Please see the README in <https://github.com/wush978/FeatureHashing> for more information.
License: GPL (>= 3) | file LICENSE
Depends: R (>= 3.1), methods
Imports: Rcpp (>= 0.11), Matrix, digest(>= 0.6.8), magrittr (>= 1.5)
LinkingTo: Rcpp, digest(>= 0.6.8), BH(>= 1.54.0-1)
Suggests: RUnit, glmnet, knitr, xgboost, rmarkdown, pROC
SystemRequirements: C++11
BugReports: https://github.com/wush978/FeatureHashing/issues
URL: https://github.com/wush978/FeatureHashing
VignetteBuilder: knitr
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-10-23 07:52:03 UTC; wush
Author: Wush Wu [aut, cre],
  Michael Benesty [aut, ctb]
Repository: CRAN
Date/Publication: 2022-10-30 22:04:31 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-10-31 10:34:10 UTC; unix
Archs: FeatureHashing.so.dSYM
