Package net.myrrix.common.stats

Examples of net.myrrix.common.stats.DoubleWeightedMean.increment()

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      long userID = entry.getKey();
      RecommendedItem itemPref = entry.getValue();
      try {
        float estimate = recommender.estimatePreference(userID, itemPref.getItemID());
        Preconditions.checkState(LangUtils.isFinite(estimate));
        score.increment(1.0 - estimate, itemPref.getValue());
      } catch (NoSuchItemException nsie) {
        // continue
      } catch (NoSuchUserException nsue) {
        // continue
      }
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        for (int i = 0; i < testUserIDs.length; i++) {
          for (int j = 0; j < testItemIDs.length; j++) {
            double newValue = SimpleVectorMath.dot(X.get(testUserIDs[i]), Y.get(testItemIDs[j]));           
            double oldValue = estimates[i][j];
            estimates[i][j] = newValue;
            averageAbsoluteEstimateDiff.increment(FastMath.abs(newValue - oldValue), FastMath.max(0.0, newValue));
          }
        }
     
        iterationNumber++;
        log.info("Finished iteration {}", iterationNumber);
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