Package org.apache.hama.ml.recommendation.cf

Examples of org.apache.hama.ml.recommendation.cf.OnlineCF


      fileOut.close();
     
      MovieLensConverter converter = new MovieLensConverter();
      assertEquals(true, converter.convert(strDataPath, null, convertedFileName));
     
      OnlineCF recommender = new OnlineCF();
      recommender.setInputPreferences(convertedFileName);
      recommender.setIteration(150);
      recommender.setMatrixRank(3);
      recommender.setSkipCount(1);
      recommender.setTaskCount(2);
      recommender.setUpdateFunction(MeanAbsError.class);
      recommender.setOutputPath(outputFileName);
      assertEquals(true, recommender.train());

      recommender.load(outputFileName, false);
      int correct = 0;
      for (Preference<Integer, Integer> test : test_prefs) {
        double actual = test.getValue().get();
        double estimated = recommender.estimatePreference(test.getUserId(), test.getItemId());
        correct += (Math.abs(actual-estimated)<0.5)?1:0;
      }

      assertEquals(test_prefs.length*0.75, correct, 1);

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