shinyML
Compare Supervised Machine Learning Models Using Shiny App
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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | shinyML_1.0.1.tar.gz |
153.8 KiB |
1.0.1 |
rolling linux/noble R-4.5 | shinyML_1.0.1.tar.gz |
153.8 KiB |
1.0.1 |
rolling source/ R- | shinyML_1.0.1.tar.gz |
33.5 KiB |
1.0.1 |
latest linux/jammy R-4.5 | shinyML_1.0.1.tar.gz |
153.8 KiB |
1.0.1 |
latest linux/noble R-4.5 | shinyML_1.0.1.tar.gz |
153.8 KiB |
1.0.1 |
latest source/ R- | shinyML_1.0.1.tar.gz |
33.5 KiB |
1.0.1 |
2026-04-26 source/ R- | shinyML_1.0.1.tar.gz |
33.5 KiB |
1.0.1 |
2026-04-23 source/ R- | shinyML_1.0.1.tar.gz |
33.5 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | shinyML_1.0.1.zip |
156.0 KiB |
1.0.1 |
2025-04-20 source/ R- | shinyML_1.0.1.tar.gz |
33.5 KiB |