Abstract
Two of the prime open-source environments available for machine/statistical learning in data mining and knowledge discovery are the software packages Weka and R which have emerged from the machine learning and statistics communities, respectively. To make the different sets of tools from both environments available in a single unified system, an R package RWeka is suggested which interfaces Wekas functionality to R. With only a thin layer of (mostly R) code, a set of general interface generators is provided which can set up interface functions with the usual R look and feel, re-using Wekas standardized interface of learner classes (including classifiers, clusterers, associators, filters, loaders, savers, and stemmers) with associated methods.
Originalsprache | Englisch |
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Seiten (von - bis) | 225 - 232 |
Fachzeitschrift | Computational Statistics |
Jahrgang | 24 |
Ausgabenummer | 2 |
Publikationsstatus | Veröffentlicht - 1 Sept. 2009 |