Package: ECoL 0.4.4
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:
ECoL_0.4.4.tar.gz
ECoL_0.4.4.zip(r-4.7)ECoL_0.4.4.zip(r-4.6)ECoL_0.4.4.zip(r-4.5)
ECoL_0.4.4.tgz(r-4.6-any)ECoL_0.4.4.tgz(r-4.5-any)
ECoL_0.4.4.tar.gz(r-4.7-any)ECoL_0.4.4.tar.gz(r-4.6-any)
ECoL_0.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ECoL/json (API)
| # Install 'ECoL' in R: |
| install.packages('ECoL', repos = c('https://lpfgarcia.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lpfgarcia/ecol/issues
complexity-measurespattern-recognition
Last updated from:cfeb83890d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | OK | 124 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-oldrel-arm64 | OK | 82 | ||
| windows-devel | OK | 91 | ||
| windows-release | OK | 75 | ||
| windows-oldrel | OK | 110 | ||
| wasm-release | OK | 108 |
Exports:balancecomplexitycorrelationdimensionalityfeaturebasedlinearityneighborhoodnetworksmoothnesssummarization
Dependencies:classcliclustercpp11e1071FNNglueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigproxyrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Measures of class balance | balance balance.default balance.formula |
| Extract the complexity measures from datasets | complexity complexity.default complexity.formula |
| Measures of feature correlation | correlation correlation.default correlation.formula |
| Measures of dimensionality | dimensionality dimensionality.default dimensionality.formula |
| Measures of feature-based | featurebased featurebased.default featurebased.formula |
| Measures of linearity | linearity linearity.default linearity.formula |
| Measures of neighborhood | neighborhood neighborhood.default neighborhood.formula |
| Measures of network | network network.default network.formula |
| Measures of smoothness | smoothness smoothness.default smoothness.formula |
| Post processing complexity measures | summarization |
