List of appendElements() Examples

Examples of appendElements()

weka.core.FastVector.appendElements()
Appends all elements of the supplied vector to this vector. @param toAppend the FastVector containing elements to append.

Examples of weka.core.FastVector.appendElements()

        new weka.classifiers.evaluation.EvaluationUtils();
      //weka.classifiers.Classifier classifier = new weka.classifiers.functions.Logistic();
      weka.classifiers.Classifier classifier = new weka.classifiers.bayes.NaiveBayes();
      FastVector predictions = new FastVector();
      eu.setSeed(1);
      predictions.appendElements(eu.getCVPredictions(classifier, train, 10));
      Instances result = tc.getCurve(predictions, 0);
      PlotData2D pd = new PlotData2D(result);
      pd.m_alwaysDisplayPointsOfThisSize = 10;


      boolean[] connectPoints = new boolean[result.numInstances()];

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Examples of weka.core.FastVector.appendElements()

        EvaluationUtils eu = new EvaluationUtils();
        Classifier classifier = new weka.classifiers.functions.Logistic();
        FastVector predictions = new FastVector();
        for (int i = 0; i < 2; i++) { // Do two runs.
          eu.setSeed(i);
          predictions.appendElements(eu.getCVPredictions(classifier, inst, 10));
          //System.out.println("\n\n\n");
        }
        Instances result = tc.getCurve(predictions);
        System.out.println(result);
      }

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Examples of weka.core.FastVector.appendElements()

        new weka.classifiers.evaluation.EvaluationUtils();
      //weka.classifiers.Classifier classifier = new weka.classifiers.functions.Logistic();
      weka.classifiers.Classifier classifier = new weka.classifiers.bayes.NaiveBayes();
      FastVector predictions = new FastVector();
      eu.setSeed(1);
      predictions.appendElements(eu.getCVPredictions(classifier, train, 10));
      Instances result = tc.getCurve(predictions, 0);
      PlotData2D pd = new PlotData2D(result);
      pd.m_alwaysDisplayPointsOfThisSize = 10;


      boolean[] connectPoints = new boolean[result.numInstances()];

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Examples of weka.core.FastVector.appendElements()

        EvaluationUtils eu = new EvaluationUtils();
        Classifier classifier = new weka.classifiers.functions.Logistic();
        FastVector predictions = new FastVector();
        for (int i = 0; i < 2; i++) { // Do two runs.
          eu.setSeed(i);
          predictions.appendElements(eu.getCVPredictions(classifier, inst, 10));
          //System.out.println("\n\n\n");
        }
        Instances result = tc.getCurve(predictions);
        System.out.println(result);
      }

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Examples of weka.core.FastVector.appendElements()

  ThresholdCurve tc = new ThresholdCurve();
  EvaluationUtils eu = new EvaluationUtils();
  FastVector predictions = new FastVector();
  for (int i = 0; i < runs; i++) {
    eu.setSeed(seed + i);
    predictions.appendElements(eu.getCVPredictions(classifier, inst, folds));
  }
  
  if (valueIndex != null)
    result = tc.getCurve(predictions, valueIndex.getIndex());
  else

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Examples of weka.core.FastVector.appendElements()

      EvaluationUtils eu = new EvaluationUtils();
      Classifier classifier = new weka.classifiers.functions.Logistic();
      FastVector predictions = new FastVector();
      for (int i = 0; i < 2; i++) { // Do two runs.
  eu.setSeed(i);
  predictions.appendElements(eu.getCVPredictions(classifier, inst, 10));
  //System.out.println("\n\n\n");
      }
      Instances result = cc.getCurve(predictions);
      System.out.println(result);

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Examples of weka.core.FastVector.appendElements()

        Classifier classifier = new weka.classifiers.functions.Logistic();
        FastVector predictions = new FastVector();
        for( int i = 0; i < 2; i++ ) { // Do two runs.


          eu.setSeed( i );
          predictions.appendElements( eu.getCVPredictions( classifier, inst, 10 ) );
        //System.out.println("\n\n\n");
        }
        Instances result = tc.getCurve( predictions );
        System.out.println( result );
      }

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Examples of weka.core.FastVector.appendElements()

  ThresholdCurve tc = new ThresholdCurve();
  EvaluationUtils eu = new EvaluationUtils();
  FastVector predictions = new FastVector();
  for (int i = 0; i < runs; i++) {
    eu.setSeed(seed + i);
    predictions.appendElements(eu.getCVPredictions(classifier, inst, folds));
  }
  
  if (valueIndex != null)
    result = tc.getCurve(predictions, valueIndex.getIndex());
  else

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Examples of weka.core.FastVector.appendElements()

        EvaluationUtils eu = new EvaluationUtils();
        Classifier classifier = new weka.classifiers.functions.Logistic();
        FastVector predictions = new FastVector();
        for (int i = 0; i < 2; i++) { // Do two runs.
          eu.setSeed(i);
          predictions.appendElements(eu.getCVPredictions(classifier, inst, 10));
          //System.out.println("\n\n\n");
        }
        Instances result = tc.getCurve(predictions);
        System.out.println(result);
      }

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Examples of weka.core.FastVector.appendElements()

      EvaluationUtils eu = new EvaluationUtils();
      Classifier classifier = new weka.classifiers.functions.Logistic();
      FastVector predictions = new FastVector();
      for (int i = 0; i < 2; i++) { // Do two runs.
  eu.setSeed(i);
  predictions.appendElements(eu.getCVPredictions(classifier, inst, 10));
  //System.out.println("\n\n\n");
      }
      Instances result = cc.getCurve(predictions);
      System.out.println(result);

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