Examples of useNoPriors()

Examples of weka.classifiers.Evaluation.useNoPriors()

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              }
             
              // make adjustments if the classifier is an InputMappedClassifier
              eval = setupEval(eval, classifierToUse, userTestStructure, costMatrix,
                  plotInstances, classificationOutput, false);
              eval.useNoPriors();
             
              if (outputPredictionsText) {
                printPredictionsHeader(outBuff, classificationOutput, "user test set");
              }
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Examples of weka.classifiers.Evaluation.useNoPriors()

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          m_PlotInstances.setClassIndex(ce.getTestSet().getDataSet().classIndex());
          m_PlotInstances.setEvaluation(eval);

          eval = adjustForInputMappedClassifier(eval, ce.getClassifier(),
              ce.getTestSet().getDataSet(), m_PlotInstances);
          eval.useNoPriors();
          m_eval = new AggregateableEvaluation(eval);
        } else {
          // we can set up with the training set here
          Evaluation eval = new Evaluation(ce.getTrainSet().getDataSet());
          m_PlotInstances = ExplorerDefaults.getClassifierErrorsPlotInstances();
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Examples of weka.classifiers.Evaluation.useNoPriors()

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          plotInstances.setClassIndex(m_testData.classIndex());
          plotInstances.setEvaluation(eval);
          eval = adjustForInputMappedClassifier(eval, m_classifier,
              m_testData, plotInstances);
         
          eval.useNoPriors();
        } else {
          eval = new Evaluation(m_trainData);
          plotInstances.setInstances(m_trainData);
          plotInstances.setClassifier(m_classifier);
          plotInstances.setClassIndex(m_trainData.classIndex());
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Examples of weka.classifiers.Evaluation.useNoPriors()

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              }
              m_Log.statusMessage(Messages.getInstance().getString("ClassifierPanel_ReEvaluateModel_Log_StatusMessage_Text_Second"));
              m_Log.logMessage(Messages.getInstance().getString("ClassifierPanel_ReEvaluateModel_Log_LogMessage_Text_First") + name
                               + Messages.getInstance().getString("ClassifierPanel_ReEvaluateModel_Log_LogMessage_Text_Second"));
              eval = new Evaluation(userTestStructure, costMatrix);
              eval.useNoPriors();
     
              // set up the structure of the plottable instances for
              // visualization if selected
              if (saveVis) {
                predInstances = setUpVisualizableInstances(userTestStructure);
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Examples of weka.classifiers.Evaluation.useNoPriors()

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              }
              m_Log.statusMessage("Evaluating on test data...");
              m_Log.logMessage("Re-evaluating classifier (" + name
                               + ") on test set");
              eval = new Evaluation(userTestStructure, costMatrix);
              eval.useNoPriors();
     
              // set up the structure of the plottable instances for
              // visualization if selected
              if (saveVis) {
                predInstances = setUpVisualizableInstances(userTestStructure);
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Examples of weka.classifiers.Evaluation.useNoPriors()

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          m_PlotInstances.setClassIndex(ce.getTestSet().getDataSet().classIndex());
          m_PlotInstances.setEvaluation(eval);

          eval = adjustForInputMappedClassifier(eval, ce.getClassifier(),
              ce.getTestSet().getDataSet(), m_PlotInstances);
          eval.useNoPriors();
          m_eval = new AggregateableEvaluation(eval);
        } else {
          // we can set up with the training set here
          Evaluation eval = new Evaluation(ce.getTrainSet().getDataSet());
          m_PlotInstances = ExplorerDefaults.getClassifierErrorsPlotInstances();
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Examples of weka.classifiers.Evaluation.useNoPriors()

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          plotInstances.setClassIndex(m_testData.classIndex());
          plotInstances.setEvaluation(eval);
          eval = adjustForInputMappedClassifier(eval, m_classifier,
              m_testData, plotInstances);
         
          eval.useNoPriors();
        } else {
          eval = new Evaluation(m_trainData);
          plotInstances.setInstances(m_trainData);
          plotInstances.setClassifier(m_classifier);
          plotInstances.setClassIndex(m_trainData.classIndex());
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Examples of weka.classifiers.Evaluation.useNoPriors()

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              }
             
              // make adjustments if the classifier is an InputMappedClassifier
              eval = setupEval(eval, classifierToUse, userTestStructure, costMatrix,
                  plotInstances, classificationOutput, false);
              eval.useNoPriors();
             
              if (outputPredictionsText) {
                printPredictionsHeader(outBuff, classificationOutput, "user test set");
              }
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