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) doi:10.48550/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.
- Version0.9.2
- R version≥ 4.0 methods
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release01/10/2024
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Wush Wu
Michael Benesty
Show author detailsRolesAuthor, Contributor
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- Imports4 packages
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