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FeatureHashing  

Creates a Model Matrix via Feature Hashing with a Formula Interface
View on CRAN: Click here


Download and install FeatureHashing package within the R console
Install from CRAN:
install.packages("FeatureHashing")

Install from Github:
library("remotes")
install_github("cran/FeatureHashing")

Install by package version:
library("remotes")
install_version("FeatureHashing", "0.9.2")



Attach the package and use:
library("FeatureHashing")
Maintained by
Wush Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-12-21
Latest Update: 2024-01-10
Description:
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 for more information.
How to cite:
Wush Wu (2014). FeatureHashing: Creates a Model Matrix via Feature Hashing with a Formula Interface. R package version 0.9.2, https://cran.r-project.org/web/packages/FeatureHashing
Previous versions and publish date:
0.7 (2014-12-21 18:00), 0.8 (2015-01-01 06:05), 0.9.1.1 (2015-10-18 01:06), 0.9.1.3 (2018-04-10 15:28), 0.9.1.4 (2019-11-24 15:20), 0.9.1.5 (2022-10-30 23:04), 0.9.1 (2015-09-23 03:01), 0.9 (2015-03-30 00:06)
Other packages that cited FeatureHashing R package
View FeatureHashing citation profile
Other R packages that FeatureHashing depends, imports, suggests or enhances
Functions, R codes and Examples using the FeatureHashing R package
Some associated functions: CSCMatrix-class . hash.mapping . hash.size . hashed.model.matrix . intToRaw . ipinyou . simulate.split . test.tag . 
Some associated R codes: RcppExports.R . hash.mapping.R . hash.size.R . hashed.model.matrix.R . matrix.R . simulate.split.R . zzz.R .  Full FeatureHashing package functions and examples
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