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superml  

Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("superml", "0.5.7")



Attach the package and use:
library("superml")
Maintained by
Manish Saraswat
[Scholar Profile | Author Map]
First Published: 2018-12-30
Latest Update: 2024-02-18
Description:
The idea is to provide a standard interface to users who use both R and Python for building machine learning models. This package provides a scikit-learn's fit, predict interface to train machine learning models in R.
How to cite:
Manish Saraswat (2018). superml: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R. R package version 0.5.7, https://cran.r-project.org/web/packages/superml. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2018-12-30 18:30), 0.2.0 (2019-01-08 00:00), 0.3.0 (2019-03-16 06:30), 0.4.0 (2019-05-12 06:50), 0.5.0 (2019-11-29 10:10), 0.5.1 (2020-02-19 19:20), 0.5.2 (2020-02-24 18:40), 0.5.3 (2020-04-28 09:40), 0.5.4 (2022-05-12 16:10), 0.5.5 (2022-05-24 01:20), 0.5.6 (2022-11-14 09:30)
Other packages that cited superml R package
View superml citation profile
Other R packages that superml depends, imports, suggests or enhances
Complete documentation for superml
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