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featurizer  

Some Helper Functions that Help Create Features from Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("featurizer", "0.2")



Attach the package and use:
library("featurizer")
Maintained by
Chhavi Choudhury
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-11
Latest Update: 2017-06-11
Description:
A collection of functions that would help one to build features based on external data. Very useful for Data Scientists in data to day work. Many functions create features using parallel computation. Since the nitty gritty of parallel computation is hidden under the hood, the user need not worry about creating clusters and shutting them down.
How to cite:
Chhavi Choudhury (2017). featurizer: Some Helper Functions that Help Create Features from Data. R package version 0.2, https://cran.r-project.org/web/packages/featurizer. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1 (2017-06-11 09:22)
Other packages that cited featurizer R package
View featurizer citation profile
Other R packages that featurizer depends, imports, suggests or enhances
Complete documentation for featurizer
Functions, R codes and Examples using the featurizer R package
Some associated functions: holiday_lst . infer_gender . infer_holiday . par_sapply . 
Some associated R codes: holiday_lst.R . infer_gender.R . infer_holiday.R . par_sapply.R .  Full featurizer package functions and examples
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