Package: ECoL 0.4.2

ECoL: Complexity Measures for Supervised Problems

Provides measures to characterize the complexity of classification and regression problems based on aspects that quantify the linearity of the data, the presence of informative feature, the sparsity and dimensionality of the datasets. This package provides bug fixes, generalizations and implementations of many state of the art measures. The measures are described in the papers: Lorena et al. (2019) <doi:10.1145/3347711> and Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.

Authors:Luis Garcia [aut, cre], Ana Lorena [aut, ctb], Marcilio Souto [aut, ctb], Tin K. Ho [aut, ctb]

ECoL_0.4.2.tar.gz
ECoL_0.4.2.zip(r-4.5)ECoL_0.4.2.zip(r-4.4)ECoL_0.4.2.zip(r-4.3)
ECoL_0.4.2.tgz(r-4.4-any)ECoL_0.4.2.tgz(r-4.3-any)
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ECoL_0.4.2.tgz(r-4.4-emscripten)ECoL_0.4.2.tgz(r-4.3-emscripten)
ECoL.pdf |ECoL.html
ECoL/json (API)

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

Peer review:

Bug tracker:https://github.com/lpfgarcia/ecol/issues

On CRAN:

complexity-measurespattern-recognition

4.73 score 57 stars 19 scripts 155 downloads 10 exports 17 dependencies

Last updated 4 years agofrom:2f2be07af1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:balancecomplexitycorrelationdimensionalityfeaturebasedlinearityneighborhoodnetworksmoothnesssummarization

Dependencies:classcliclustercpp11e1071FNNglueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigproxyrlangvctrs

Readme and manuals

Help Manual

Help pageTopics
Measures of class balancebalance balance.default balance.formula
Extract the complexity measures from datasetscomplexity complexity.default complexity.formula
Measures of feature correlationcorrelation correlation.default correlation.formula
Measures of dimensionalitydimensionality dimensionality.default dimensionality.formula
Measures of feature-basedfeaturebased featurebased.default featurebased.formula
Measures of linearitylinearity linearity.default linearity.formula
Measures of neighborhoodneighborhood neighborhood.default neighborhood.formula
Measures of networknetwork network.default network.formula
Measures of smoothnesssmoothness smoothness.default smoothness.formula
Post processing complexity measuressummarization