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]

# Install 'mldr' in R:

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

Datasets:

On CRAN:

Last updated from:69f9379003. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	141
source / vignettes	OK	205
linux-release-x86_64	NOTE	143
macos-release-arm64	NOTE	180
macos-oldrel-arm64	NOTE	189
windows-devel	NOTE	85
windows-release	NOTE	99
windows-oldrel	NOTE	84
wasm-release	OK	146

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

Help page	Topics
Filter rows in a'mldr' returning a new 'mldr'	[.mldr
Generates a new mldr object joining the rows in the two mldrs given as input	+.mldr
Checks if two mldr objects have the same structure	==.mldr
Multi-label averaged evaluation metrics	accuracy Averaged metrics fmeasure macro_fmeasure macro_precision macro_recall micro_fmeasure micro_precision micro_recall precision recall
Multi-label evaluation metrics	Basic metrics hamming_loss subset_accuracy
birds	birds
Generates a label concurrence report	concurrenceReport
emotions	emotions
genbase	genbase
Provides data about interactions between labels	labelInteractions
Creates an object representing a multilabel dataset	mldr
Evaluate predictions made by a multilabel classifier	mldr_evaluate
Generates an mldr object from a data.frame and a vector with label indices	mldr_from_dataframe
Label matrix of an MLD	mldr_to_labels
Transformns an MLDR into binary or multiclass datasets	mldr_transform
Launches the web-based GUI for mldr	mldrGUI
Generates graphic representations of an mldr object	plot.mldr
Prints the mldr content	print.mldr
Multi-label ranking-based evaluation metrics	average_precision coverage example_auc macro_auc micro_auc one_error Ranking-based metrics ranking_loss
Read an ARFF file	read.arff
Decouples highly imbalanced labels	remedial
ROC curve	roc roc.mldr
Provides a summary of measures about the mldr	summary.mldr
Write an '"mldr"' object to a file	write_arff