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shinyML  

Compare Supervised Machine Learning Models Using Shiny App
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("shinyML", "1.0.1")



Attach the package and use:
library("shinyML")
Maintained by
Jean Bertin
[Scholar Profile | Author Map]
First Published: 2019-07-30
Latest Update: 2021-02-24
Description:
Implementation of a shiny app to easily compare supervised machine learning model performances. You provide the data and configure each model parameter directly on the shiny app. Different supervised learning algorithms can be tested either on Spark or H2O frameworks to suit your regression and classification tasks. Implementation of available machine learning models on R has been done by Lantz (2013, ISBN:9781782162148).
How to cite:
Jean Bertin (2019). shinyML: Compare Supervised Machine Learning Models Using Shiny App. R package version 1.0.1, https://cran.r-project.org/web/packages/shinyML. Accessed 18 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-07-30 10:40), 0.1.1 (2019-08-09 16:30), 0.2.0 (2019-10-29 14:40), 1.0.0 (2020-10-03 23:40)
Other packages that cited shinyML R package
View shinyML citation profile
Other R packages that shinyML depends, imports, suggests or enhances
Complete documentation for shinyML
Functions, R codes and Examples using the shinyML R package
Some associated functions: shinyML_classification . shinyML_regression . 
Some associated R codes: shinyML_classification.R . shinyML_regression.R .  Full shinyML package functions and examples
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