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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling source/ R- | ECoL_0.3.0.tar.gz |
21.9 KiB |
0.3.0 |
latest source/ R- | ECoL_0.3.0.tar.gz |
21.9 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | ECoL_0.3.0.zip |
121.7 KiB |