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
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ECoL_0.4.2.tgz(r-4.4-any)ECoL_0.4.2.tgz(r-4.3-any)
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ECoL.pdf |ECoL.html✨
ECoL/json (API)

Peer review:

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

On CRAN:

complexity-measurespattern-recognition

10 exports 57 stars 3.27 score 17 dependencies 19 scripts 172 downloads

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

Exports:balancecomplexitycorrelationdimensionalityfeaturebasedlinearityneighborhoodnetworksmoothnesssummarization

Dependencies:classcliclustercpp11e1071FNNglueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigproxyrlangvctrs