FeatureHashing (0.9.1.4)
Creates a Model Matrix via Feature Hashing with a Formula Interface.
https://github.com/wush978/FeatureHashing
http://cran.r-project.org/web/packages/FeatureHashing
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) . The hashing algorithm is the murmurhash3 from the 'digest' package. Please see the README in for more information.
Maintainer:
Wush Wu
Author(s): Wush Wu [aut, cre], Michael Benesty [aut, ctb]
License: GPL (>= 3) | file LICENSE
Uses: magrittr, Matrix, Rcpp, RUnit, glmnet, pROC, knitr, xgboost, rmarkdown
Released 11 days ago.
5 previous versions
- FeatureHashing_0.9.1.3. Released over 1 year ago.
- FeatureHashing_0.9.1.1. Released about 4 years ago.
- FeatureHashing_0.9.1. Released about 4 years ago.
- FeatureHashing_0.9. Released over 4 years ago.
- FeatureHashing_0.8. Released almost 5 years ago.
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