Package org.apache.mahout.classifier.df.ref

Examples of org.apache.mahout.classifier.df.ref.SequentialBuilder.build()

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    // grow a forest with m = log2(M)+1
    treeBuilder.setM(m);
   
    long time = System.currentTimeMillis();
    log.info("Growing a forest with m={}", m);
    DecisionForest forestM = forestBuilder.build(nbtrees);
    sumTimeM += System.currentTimeMillis() - time;
    numNodesM += forestM.nbNodes();
   
    // grow a forest with m=1
    treeBuilder.setM(1);
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    // grow a forest with m=1
    treeBuilder.setM(1);
   
    time = System.currentTimeMillis();
    log.info("Growing a forest with m=1");
    DecisionForest forestOne = forestBuilder.build(nbtrees);
    sumTimeOne += System.currentTimeMillis() - time;
    numNodesOne += forestOne.nbNodes();
   
    // compute the test set error (Selection Error), and mean tree error (One Tree Error),
    double[] testLabels = test.extractLabels();
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    // grow a forest with m = log2(M)+1
    treeBuilder.setM(m);
   
    long time = System.currentTimeMillis();
    log.info("Growing a forest with m={}", m);
    DecisionForest forestM = forestBuilder.build(nbtrees);
    sumTimeM += System.currentTimeMillis() - time;
    numNodesM += forestM.nbNodes();
   
    // grow a forest with m=1
    treeBuilder.setM(1);
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    // grow a forest with m=1
    treeBuilder.setM(1);
   
    time = System.currentTimeMillis();
    log.info("Growing a forest with m=1");
    DecisionForest forestOne = forestBuilder.build(nbtrees);
    sumTimeOne += System.currentTimeMillis() - time;
    numNodesOne += forestOne.nbNodes();
   
    // compute the test set error (Selection Error), and mean tree error (One Tree Error),
    double[] testLabels = test.extractLabels();
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