Data Mining Algorithms In R/Packages/RWeka

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Description[edit]

An R interface to Weka (Version 3.7.2). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars.

Requirements[edit]

R (>= 2.6.0)

RWekajars (>= 3.7.2)

rJava (>= 0.6-3)

Java (>= 5.0)

General API[edit]

  1. Evaluate Weka Classifier
  2. Predict Weka Classifier
  3. Predict Weka Clusterer
  4. Weka associators
  5. Weka classifiers
  6. Weka classifiers functions
  7. Weka classifier lazy
  8. Weka classifier meta
  9. Weka classifier rules
  10. Weka classifier trees
  11. Weka clusterers
  12. Weka control
  13. Weka converters
  14. Weka filters
  15. Weka interfaces
  16. Weka stemmers
  17. Weka tokenizers

IO API[edit]

  1. Dot
  2. Read.arff
  3. Write.arff

Package API[edit]

  1. WOW
  2. WPM