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.tar.gz(r-4.5-noble)featurizer_0.2.tar.gz(r-4.4-noble)
featurizer_0.2.tgz(r-4.4-emscripten)featurizer_0.2.tgz(r-4.3-emscripten)
featurizer.pdf |featurizer.html
featurizer/json (API)

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

Peer review:

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

4 exports 0.00 score 0 dependencies 4 scripts 157 downloads

Last updated 7 years agofrom:0712dc3d19. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-linuxOKAug 23 2024

Exports:holiday_lstinfer_genderinfer_holidaypar_sapply

Dependencies: