This package facilitates the use of data mining algorithms in classification and regression tasks by presenting a short and coherent set of functions. While several DM algorithms can be used, it is particularly suited for Neural Networks (NN) and Support Vector Machines (SVM).
| Version: | 1.1 |
| Depends: | nnet, kknn, kernlab, rpart, lattice, methods |
| Suggests: | randomForest, MASS, mda |
| Published: | 2011-04-25 |
| Author: | Paulo Cortez |
| Maintainer: | Paulo Cortez <pcortez at dsi.uminho.pt> |
| License: | GPL (≥ 2) |
| URL: | http://www3.dsi.uminho.pt/pcortez/rminer.html |
| In views: | MachineLearning |
| CRAN checks: | rminer results |
| Package source: | rminer_1.1.tar.gz |
| MacOS X binary: | rminer_1.1.tgz |
| Windows binary: | rminer_1.1.zip |
| Reference manual: | rminer.pdf |
| Old sources: | rminer archive |