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:
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
Last updated 4 years agofrom:2aecbf230b. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 04 2025 |
R-4.5-win | OK | Mar 04 2025 |
R-4.5-mac | OK | Mar 04 2025 |
R-4.5-linux | OK | Mar 04 2025 |
R-4.4-win | OK | Mar 04 2025 |
R-4.4-mac | OK | Mar 04 2025 |
R-4.4-linux | OK | Mar 04 2025 |
R-4.3-win | OK | Mar 04 2025 |
R-4.3-mac | OK | Mar 04 2025 |
Exports:shinyML_classificationshinyML_regression
Dependencies:argonDashargonRaskpassbase64encbitopsblobbslibcachemclicodetoolscolorspacecommonmarkconfigcpp11crayoncrosstalkcurldata.tableDBIdbplyrdigestdplyrDTdygraphsevaluatefansifarverfastmapfontawesomefsgenericsggplot2globalsgluegtableh2ohighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRCurlrlangrmarkdownrstudioapisassscalesshinyshinycssloadersshinyjsshinyWidgetssourcetoolssparklyrstringistringrsystibbletidyrtidyselecttimechangetinytexutf8uuidvctrsviridisLitewithrxfunxml2xtablextsyamlzoo