Package: mldr 0.4.2

David Charte

mldr: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.

Authors:David Charte [cre], Francisco Charte [aut], Antonio J. Rivera [aut]

mldr_0.4.2.tar.gz
mldr_0.4.2.zip(r-4.5)mldr_0.4.2.zip(r-4.4)mldr_0.4.2.zip(r-4.3)
mldr_0.4.2.tgz(r-4.5-any)mldr_0.4.2.tgz(r-4.4-any)mldr_0.4.2.tgz(r-4.3-any)
mldr_0.4.2.tar.gz(r-4.5-noble)mldr_0.4.2.tar.gz(r-4.4-noble)
mldr_0.4.2.tgz(r-4.4-emscripten)mldr_0.4.2.tgz(r-4.3-emscripten)
mldr.pdf |mldr.html
mldr/json (API)

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

Bug tracker:https://github.com/fcharte/mldr/issues

Datasets:

On CRAN:

Conda:

7.07 score 23 stars 2 packages 168 scripts 1.0k downloads 1 mentions 31 exports 35 dependencies

Last updated 5 years agofrom:69f9379003. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-winNOTEMar 03 2025
R-4.5-macNOTEMar 03 2025
R-4.5-linuxNOTEMar 03 2025
R-4.4-winNOTEMar 03 2025
R-4.4-macNOTEMar 03 2025
R-4.3-winOKMar 03 2025
R-4.3-macOKMar 03 2025

Exports:accuracyaverage_precisionconcurrenceReportcoverageexample_aucfmeasurehamming_losslabelInteractionsmacro_aucmacro_fmeasuremacro_precisionmacro_recallmicro_aucmicro_fmeasuremicro_precisionmicro_recallmldrmldr_evaluatemldr_from_dataframemldr_to_labelsmldr_transformmldrGUIone_errorprecisionranking_lossread.arffrecallremedialrocsubset_accuracywrite_arff

Dependencies:base64encbslibcachemcirclizeclicolorspacecommonmarkcrayondigestfastmapfontawesomefsGlobalOptionsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRcpprlangsassshapeshinysourcetoolswithrXMLxtable

Working with Multilabel Datasets in R: The mldr Package

Rendered frommldr.Rnwusingknitr::knitron Mar 03 2025.

Last update: 2015-07-02
Started: 2015-07-02