Examples of com.ipeirotis.gal.core.ConfusionMatrix.addError()

Class com.ipeirotis.gal.core.ConfusionMatrix

Examples of com.ipeirotis.gal.core.ConfusionMatrix.addError()

com.ipeirotis.gal.core.ConfusionMatrix.addError()
Makes the matrix to be row-stochastic: In other words, for a given "from" category, if we sum the errors across all the "to" categories, we get 1.0. We use Laplace smoothing

      String assignedCategory = l.getCategoryName();
      String correctCategory = d.getEvaluationCategory();


      // Double currentCount = eval_cm.getErrorRate(correctCategory,
      // assignedCategory);
      eval_cm.addError(correctCategory, assignedCategory, 1.0);
    }
    eval_cm.normalize();
    w.setEvalConfusionMatrix(eval_cm);
  }

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      if (probabilities == null)
        continue; // No other worker labeled the object


      for (String source : probabilities.keySet()) {
        Double error = probabilities.get(source);
        cm.addError(source, destination, error);
      }


    }
    cm.normalize();

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      Map<String, Double> toClassifiedAs = d.getProbabilityVector(clasMethod);


      for (String toCategory : toClassifiedAs.keySet()) {
        Double prob = toClassifiedAs.get(toCategory);


        confMatrix.addError(fromCategory, toCategory, prob);
      }
    }


    confMatrix.normalize();

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