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). 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]
Date of publication2015-10-18 01:06:55
MaintainerWush Wu <[email protected]>
LicenseGPL (>= 3) | file LICENSE
URL https://github.com/wush978/FeatureHashing
Package repositoryView on CRAN
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FeatureHashing documentation built on May 29, 2017, 12:56 p.m.