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.
|Author||Wush Wu [aut, cre], Michael Benesty [aut, ctb]|
|Date of publication||2015-10-18 01:06:55|
|Maintainer||Wush Wu <firstname.lastname@example.org>|
|License||GPL (>= 3) | file LICENSE|
|Package repository||View on CRAN|
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