Package: shinyML 1.0.1

Jean Bertin

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).

Authors:Jean Bertin

shinyML_1.0.1.tar.gz
shinyML_1.0.1.zip(r-4.5)shinyML_1.0.1.zip(r-4.4)shinyML_1.0.1.zip(r-4.3)
shinyML_1.0.1.tgz(r-4.5-any)shinyML_1.0.1.tgz(r-4.4-any)shinyML_1.0.1.tgz(r-4.3-any)
shinyML_1.0.1.tar.gz(r-4.5-noble)shinyML_1.0.1.tar.gz(r-4.4-noble)
shinyML_1.0.1.tgz(r-4.4-emscripten)shinyML_1.0.1.tgz(r-4.3-emscripten)
shinyML.pdf |shinyML.html
shinyML/json (API)
NEWS

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

Bug tracker:https://github.com/jeanbertinr/shinyml/issues

On CRAN:

Conda:

4.58 score 59 stars 13 scripts 313 downloads 2 exports 100 dependencies

Last updated 4 years agofrom:2aecbf230b. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winOKMar 04 2025
R-4.5-macOKMar 04 2025
R-4.5-linuxOKMar 04 2025
R-4.4-winOKMar 04 2025
R-4.4-macOKMar 04 2025
R-4.4-linuxOKMar 04 2025
R-4.3-winOKMar 04 2025
R-4.3-macOKMar 04 2025

Exports:shinyML_classificationshinyML_regression

Dependencies:argonDashargonRaskpassbase64encbitopsblobbslibcachemclicodetoolscolorspacecommonmarkconfigcpp11crayoncrosstalkcurldata.tableDBIdbplyrdigestdplyrDTdygraphsevaluatefansifarverfastmapfontawesomefsgenericsggplot2globalsgluegtableh2ohighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRCurlrlangrmarkdownrstudioapisassscalesshinyshinycssloadersshinyjsshinyWidgetssourcetoolssparklyrstringistringrsystibbletidyrtidyselecttimechangetinytexutf8uuidvctrsviridisLitewithrxfunxml2xtablextsyamlzoo