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.
| Version: | 0.9.1.4 |
| 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 |
| Published: | 2019-11-24 |
| 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 |
| SystemRequirements: | C++11 |
| Materials: | README ChangeLog |
| CRAN checks: | FeatureHashing results |
| Reference manual: | FeatureHashing.pdf |
| Vignettes: |
FeatureHashing Sentiment Analysis via FeatureHashing |
| Package source: | FeatureHashing_0.9.1.4.tar.gz |
| Windows binaries: | r-devel: FeatureHashing_0.9.1.4.zip, r-release: FeatureHashing_0.9.1.4.zip, r-oldrel: FeatureHashing_0.9.1.4.zip |
| macOS binaries: | r-release (arm64): FeatureHashing_0.9.1.4.tgz, r-oldrel (arm64): FeatureHashing_0.9.1.4.tgz, r-release (x86_64): FeatureHashing_0.9.1.4.tgz, r-oldrel (x86_64): FeatureHashing_0.9.1.4.tgz |
| Old sources: | FeatureHashing archive |
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