Examples of org.apache.mahout.df.callback.ForestPredictions.computePredictions()

Class org.apache.mahout.df.callback.ForestPredictions

Examples of org.apache.mahout.df.callback.ForestPredictions.computePredictions()

org.apache.mahout.df.callback.ForestPredictions.computePredictions()
compute the prediction for each instance. the prediction of an instance is the index of the label that got most of the votes @param rng @return

    } else {
      forestOne.classify(test,
          new MultiCallback(testError, treeError, errorOne));
    }


    sumTestErr += ErrorEstimate.errorRate(testLabels, testError.computePredictions(rng));
    sumOneErr += ErrorEstimate.errorRate(testLabels, errorOne.computePredictions(rng));
    sumTreeErr += treeError.meanTreeError();
  }


  public static void main(String[] args) throws Exception {

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      FileSystem fs = dataPath.getFileSystem(getConf());
      int[] labels = Data.extractLabels(dataset, fs, dataPath);
      
      log.info("oob error estimate : "
          + ErrorEstimate.errorRate(labels, callback.computePredictions(rng)));
    }


    return forest;
  }

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      FileSystem fs = dataPath.getFileSystem(getConf());
      int[] labels = Data.extractLabels(dataset, fs, dataPath);
      
      log.info("oob error estimate : "
                           + ErrorEstimate.errorRate(labels, callback.computePredictions(rng)));
    }


    // store the decision forest in the output path
    Path forestPath = new Path(outputPath, "forest.seq");
    log.info("Storing the forest in: " + forestPath);

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