Package: featurizer 0.2

Chhavi Choudhury

featurizer: Some Helper Functions that Help Create Features from Data

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.

Authors:Chhavi Choudhury [aut, cre]

featurizer_0.2.tar.gz
featurizer_0.2.zip(r-4.7-any)featurizer_0.2.zip(r-4.6-any)
featurizer_0.2.tar.gz(r-4.7-any)featurizer_0.2.tar.gz(r-4.6-any)
featurizer_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
featurizer/json (API)

# Install 'featurizer' in R:
install.packages('featurizer', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 277 downloads 4 exports 0 dependencies

Last updated from:0712dc3d19. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK138
linux-releaseOK94
windows-develOK63
windows-releaseOK72
wasm-releaseOK79

Exports:holiday_lstinfer_genderinfer_holidaypar_sapply

Dependencies: