Class DMROptimizable

    • Constructor Detail

      • DMROptimizable

        public DMROptimizable()
      • DMROptimizable

        public DMROptimizable​(InstanceList instances,
                              MaxEnt initialClassifier)
    • Method Detail

      • setInterceptGaussianPriorVariance

        public void setInterceptGaussianPriorVariance​(double sigmaSquared)
        Set the variance for the default features (aka intercept terms), generally larger than the variance for the regular features.
      • setRegularGaussianPriorVariance

        public void setRegularGaussianPriorVariance​(double sigmaSquared)
        Set the variance for regular (non default) features, generally smaller than the variance for the default features.
      • getClassifier

        public MaxEnt getClassifier()
      • setParameter

        public void setParameter​(int index,
                                 double v)
        Specified by:
        setParameter in interface Optimizable