wush978/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.

Getting started

Package details

MaintainerWush Wu <wush978@gmail.com>
LicenseGPL(>= 3) | file LICENSE
Version0.9.1.5
URL https://github.com/wush978/FeatureHashing
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("wush978/FeatureHashing")
wush978/FeatureHashing documentation built on Oct. 23, 2022, 10:16 a.m.