List of evaluateModelOnceAndRecordPrediction() Examples

Examples of evaluateModelOnceAndRecordPrediction()

weka.classifiers.Evaluation.evaluateModelOnceAndRecordPrediction()
Evaluates the classifier on a single instance and records the prediction. @param classifier machine learning classifier @param instance the test instance to be classified @return the prediction made by the clasifier @throws Exception if model could not be evaluatedsuccessfully or the data contains string attributes

Examples of weka.classifiers.Evaluation.evaluateModelOnceAndRecordPrediction()

  // And add our model's prediction for it.
  predictions[i] = m_chosen_models[i].getAveragePrediction(test
      .instance(j));
  
  if (printModelPerformances) {
    evalModel.evaluateModelOnceAndRecordPrediction(
        predictions[i], originalInstances.instance(j));
  }
      }
      // Now we're done with model #i, so we can release it.
      m_chosen_models[i].releaseModel();

View Full Code Here

Examples of weka.classifiers.Evaluation.evaluateModelOnceAndRecordPrediction()

  private double evaluatePredictions(Instances instances,
      double[][] temp_predictions, int metric) throws Exception {
    
    Evaluation eval = new Evaluation(instances);
    for (int i = 0; i < instances.numInstances(); ++i) {
      eval.evaluateModelOnceAndRecordPrediction(temp_predictions[i],
    instances.instance(i));
    }
    return EnsembleMetricHelper.getMetric(eval, metric);
  }

View Full Code Here

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.