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) <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.

Package details

AuthorWush Wu [aut, cre], Michael Benesty [aut, ctb]
MaintainerWush Wu <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Version0.9.1.3
URL https://github.com/wush978/FeatureHashing
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FeatureHashing")

Try the FeatureHashing package in your browser

Any scripts or data that you put into this service are public.

FeatureHashing documentation built on April 10, 2018, 5:04 p.m.