Package org.apache.mahout.clustering.classify

Examples of org.apache.mahout.clustering.classify.ClusterClassifier.train()

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        // policy selects weights for models given those probabilities
        Vector weights = classifier.getPolicy().select(probabilities);
        // training causes all models to observe data
        for (Vector.Element e : weights.nonZeroes()) {
          int index = e.index();
          classifier.train(index, vector, weights.get(index));
        }
      }
      // compute the posterior models
      classifier.close();
      // update the policy
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        // policy selects weights for models given those probabilities
        Vector weights = classifier.getPolicy().select(probabilities);
        // training causes all models to observe data
        for (Iterator<Vector.Element> it = weights.iterateNonZero(); it.hasNext();) {
          int index = it.next().index();
          classifier.train(index, vector, weights.get(index));
        }
      }
      // compute the posterior models
      classifier.close();
      // update the policy
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        // policy selects weights for models given those probabilities
        Vector weights = classifier.getPolicy().select(probabilities);
        // training causes all models to observe data
        for (Vector.Element e : weights.nonZeroes()) {
          int index = e.index();
          classifier.train(index, vector, weights.get(index));
        }
      }
      // compute the posterior models
      classifier.close();
      // update the policy
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