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.
|Author||Wush Wu [aut, cre], Michael Benesty [aut, ctb]|
|Maintainer||Wush Wu <[email protected]>|
|License||GPL (>= 3) | file LICENSE|
|Package repository||View on CRAN|
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