FeatureHashing (0.9.1.1)
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 https://github.com/wush978/FeatureHashing 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, knitr, xgboost, rmarkdown
Released almost 2 years ago.
3 previous versions
- FeatureHashing_0.9.1. Released almost 2 years ago.
- FeatureHashing_0.9. Released over 2 years ago.
- FeatureHashing_0.8. Released over 2 years ago.
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