Package es.uam.eps.ir.relison.links.linkprediction.supervised

Interface Classifier<U>

All Known Implementing Classes:
LogisticRegressionClassifier, NaiveBayesClassifier
public interface Classifier<U>
Methods for defining a supervised machine learning classifier.

  • Method Summary

    Modifier and Type Method Description
    int classify​(Instance<U> instance)
    Obtains the most likely class for a certain instance.
    double computeScore​(Instance<U> instance, int category)
    Gets the score for an individual pattern in a certain category.
    java.util.Map<java.lang.Integer,​java.lang.Double> computeScores​(Instance<U> instance)
    Computes the scores for an individual instance (once the training has been done).
    void train​(InstanceSet<U> trainSet)
    Trains the classifier.

  • Method Details

    • train

      void train​(InstanceSet<U> trainSet)
      Trains the classifier.
      Parameters:
      trainSet - the training set.

    • computeScores

      java.util.Map<java.lang.Integer,​java.lang.Double> computeScores​(Instance<U> instance)
      Computes the scores for an individual instance (once the training has been done).
      Parameters:
      instance - the individual instance.
      Returns:
      A score for each class.

    • computeScore

      double computeScore​(Instance<U> instance, int category)
      Gets the score for an individual pattern in a certain category.
      Parameters:
      category - the class.
      instance - the pattern.
      Returns:
      the score.

    • classify

      int classify​(Instance<U> instance)
      Obtains the most likely class for a certain instance.
      Parameters:
      instance - the individual instance.
      Returns:
      The most likely class.