Package cc.mallet.classify.constraints.pr

Interface MaxEntPRConstraint

  • All Known Implementing Classes:
    MaxEntFLPRConstraints, MaxEntL2FLPRConstraints
    public interface MaxEntPRConstraint
    Interface for expectation constraints for use with Posterior Regularization (PR).
    Author:
    Gregory Druck

    • Method Detail

      • numDimensions

        int numDimensions()

      • getScore

        double getScore​(FeatureVector input,
                int label,
                double[] parameters)

      • incrementExpectations

        void incrementExpectations​(FeatureVector fv,
                           double[] dist,
                           double weight)

      • getAuxiliaryValueContribution

        double getAuxiliaryValueContribution​(double[] parameters)

      • getCompleteValueContribution

        double getCompleteValueContribution()

      • getGradient

        void getGradient​(double[] parameters,
                 double[] gradient)

      • zeroExpectations

        void zeroExpectations()
        Zero expectation values. Called before re-computing gradient.

      • preProcess

        java.util.BitSet preProcess​(InstanceList data)
        Parameters:
        data - Unlabeled data
        Returns:
        Returns a bitset of the size of the data, with the bit set if a constraint feature fires in that instance.

      • preProcess

        void preProcess​(FeatureVector input)
        Gives the constraint the option to do some caching using only the FeatureVector. For example, the constrained input features could be cached.
        Parameters:
        input - FeatureVector input