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FeatureHashing: Creates a Model Matrix via Feature Hashing with a Formula Interface

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) <doi:10.48550/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.

Version: 0.9.2
Depends: R (≥ 4.0), 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
Published: 2024-01-10
DOI: 10.32614/CRAN.package.FeatureHashing
Author: Wush Wu [aut, cre], Michael Benesty [aut, ctb]
Maintainer: Wush Wu <wush978 at gmail.com>
BugReports: https://github.com/wush978/FeatureHashing/issues
License: GPL (≥ 3) | file LICENSE
URL: https://github.com/wush978/FeatureHashing
NeedsCompilation: yes
Materials: README ChangeLog
CRAN checks: FeatureHashing results

Documentation:

Reference manual: FeatureHashing.pdf
Vignettes: FeatureHashing
Sentiment Analysis via FeatureHashing

Downloads:

Package source: FeatureHashing_0.9.2.tar.gz
Windows binaries: r-devel: FeatureHashing_0.9.2.zip, r-release: FeatureHashing_0.9.2.zip, r-oldrel: FeatureHashing_0.9.2.zip
macOS binaries: r-release (arm64): FeatureHashing_0.9.2.tgz, r-oldrel (arm64): FeatureHashing_0.9.2.tgz, r-release (x86_64): FeatureHashing_0.9.2.tgz, r-oldrel (x86_64): FeatureHashing_0.9.2.tgz
Old sources: FeatureHashing archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FeatureHashing to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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