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parallelML  

A Parallel-Voting Algorithm for many Classifiers
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("parallelML", "1.2")



Attach the package and use:
library("parallelML")
Maintained by
Wannes Rosiers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-23
Latest Update: 2023-08-18
Description:
By sampling your data, running the provided classifier on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular machine learning algorithm and possibly even more accurate predictions.
How to cite:
Wannes Rosiers (2015). parallelML: A Parallel-Voting Algorithm for many Classifiers. R package version 1.2, https://cran.r-project.org/web/packages/parallelML
Previous versions and publish date:
1.1 (2015-06-23 08:14), 1.2 (2015-06-26 14:02)
Other packages that cited parallelML R package
View parallelML citation profile
Other R packages that parallelML depends, imports, suggests or enhances
Functions, R codes and Examples using the parallelML R package
Some associated functions: caller . convertAverage . getArgs . getCall . get_args . iris . parallelML-package . parallelML . predictML . registerCores . testData . trainData . trainSample . 
Some associated R codes: convertAverage.R . fitted.parallelML.R . getArgs.R . getCall.R . parallelML.R . predictML.R . print.parallelML.R . registerCores.R . summary.parallelML.R . trainSample.R .  Full parallelML package functions and examples
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