Extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to provide estimates of algorithm performance. The package contains not only the standard characterization measures, but also more recent characterization measures. By making available a large set of meta-feature extraction functions, this package allows a comprehensive data characterization, a deep data exploration and a large number of Meta-Learning based data analysis. These concepts are described in the book: Brazdil, P., Giraud-Carrier, C., Soares, C., Vilalta, R. (2009) <doi:10.1007/978-3-540-73263-1>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.1) |
| Imports: | C50, class, e1071, infotheo, MASS, rpart, stats, utils |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2017-01-31 |
| Author: | Adriano Rivolli [aut, cre], Luis Paulo F. Garcia [aut], Andre C. P. L. F. de Carvalho [ths] |
| Maintainer: | Adriano Rivolli <rivolli at utfpr.edu.br> |
| BugReports: | https://github.com/rivolli/mfe |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL | file LICENSE] |
| URL: | https://github.com/rivolli/mfe |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | mfe results |
| Reference manual: | mfe.pdf |
| Vignettes: |
Vignette Title |
| Package source: | mfe_0.1.0.tar.gz |
| Windows binaries: | r-devel: mfe_0.1.0.zip, r-release: mfe_0.1.0.zip, r-oldrel: mfe_0.1.0.zip |
| OS X El Capitan binaries: | r-release: mfe_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: mfe_0.1.0.tgz |
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