Module es.upm.fi.cig.multictbnc
Package es.upm.fi.cig.multictbnc.classification

Interface Classifier

All Known Implementing Classes:
DAG_maxK_MultiCTBNC, Empty_digraph_MultiCTBNC, Empty_maxK_MultiCTBNC, MultiCTBNC, MultiCTNBC
public interface Classifier
Interface representing classification models. It gives the necessary methods to perform inference in a probabilistic graphical model (PGM).

  • Method Summary

    Modifier and Type
    Method
    Description
    Prediction[]
    predict(Dataset dataset, boolean estimateProbabilities)
    Predicts the values of the class variables for each instance of a dataset.

  • Method Details

    • predict

      Prediction[] predict(Dataset dataset, boolean estimateProbabilities)
      Predicts the values of the class variables for each instance of a dataset.
      Parameters:
      dataset - dataset used to make predictions
      estimateProbabilities - true to estimate the probabilities of the class configurations, false otherwise
      Returns:
      two-dimensional String array with the predictions of the class variables for all the instances of the dataset