Module es.upm.fi.cig.multictbnc
Package es.upm.fi.cig.multictbnc.learning.parameters.ctbn

Class CTBNMaximumLikelihoodEstimation

java.lang.Object
es.upm.fi.cig.multictbnc.learning.parameters.ctbn.CTBNParameterLearningAlgorithm
es.upm.fi.cig.multictbnc.learning.parameters.ctbn.CTBNMaximumLikelihoodEstimation
All Implemented Interfaces:
ParameterLearningAlgorithm
public class CTBNMaximumLikelihoodEstimation extends CTBNParameterLearningAlgorithm
Maximum likelihood estimation of CTBN parameters.

  • Constructor Details

    • CTBNMaximumLikelihoodEstimation

      public CTBNMaximumLikelihoodEstimation()

  • Method Details

    • getIdentifier

      public String getIdentifier()
      Description copied from interface: ParameterLearningAlgorithm
      Returns a unique identifier for the parameter learning algorithm.
      Returns:
      unique identifier for the parameter learning algorithm

    • getNameMethod

      public String getNameMethod()
      Description copied from interface: ParameterLearningAlgorithm
      Gets the name of the method to learn the parameters.
      Returns:
      name of the method to learn the parameters

    • getParametersAlgorithm

      public Map<String,String> getParametersAlgorithm()
      Description copied from interface: ParameterLearningAlgorithm
      Returns the parameters that are used by the algorithm.
      Returns:
      a Map with the parameters used by the algorithm

    • getSufficientStatisticsNode

      protected CTBNSufficientStatistics getSufficientStatisticsNode(DiscreteStateNode node, Dataset dataset)
      Description copied from class: CTBNParameterLearningAlgorithm
      Returns the sufficient statistics of a DiscreteNode for a given Dataset.
      Specified by:
      getSufficientStatisticsNode in class CTBNParameterLearningAlgorithm
      Parameters:
      node - a DiscreteNode
      dataset - dataset from which the sufficient statistics are extracted
      Returns:
      sufficient statistics of the provided node