Uses of Class
be.ac.ulg.montefiore.run.jahmm.ObservationReal

Packages that use ObservationReal
be.ac.ulg.montefiore.run.jahmm This package is an Hidden Markov Model implementation. 
be.ac.ulg.montefiore.run.jahmm.io This package holds classes that read and write Hidden Markov Model-related objects. 
 

Uses of ObservationReal in be.ac.ulg.montefiore.run.jahmm
 

Methods in be.ac.ulg.montefiore.run.jahmm that return ObservationReal
 ObservationReal OpdfGaussian.generate()
           
 ObservationReal OpdfGaussianMixture.generate()
           
 

Methods in be.ac.ulg.montefiore.run.jahmm that return types with arguments of type ObservationReal
 Centroid<ObservationReal> ObservationReal.factor()
          Returns the centroid matching this observation.
 

Methods in be.ac.ulg.montefiore.run.jahmm with parameters of type ObservationReal
 double CentroidObservationReal.distance(ObservationReal e)
          Returns the distance from this centroid to a given element.
 void OpdfGaussian.fit(ObservationReal... oa)
           
 void OpdfGaussianMixture.fit(ObservationReal... oa)
          Fits this observation distribution function to a (non empty) set of observations.
 void OpdfGaussian.fit(ObservationReal[] o, double[] weights)
           
 void OpdfGaussianMixture.fit(ObservationReal[] o, double[] weights)
          Fits this observation distribution function to a (non empty) weighted set of observations.
 double OpdfGaussian.probability(ObservationReal o)
           
 double OpdfGaussianMixture.probability(ObservationReal o)
           
 void CentroidObservationReal.reevaluateAdd(ObservationReal e, java.util.List<? extends ObservationReal> v)
           
 void CentroidObservationReal.reevaluateRemove(ObservationReal e, java.util.List<? extends ObservationReal> v)
           
 

Method parameters in be.ac.ulg.montefiore.run.jahmm with type arguments of type ObservationReal
 void OpdfGaussian.fit(java.util.Collection<? extends ObservationReal> co)
           
 void OpdfGaussianMixture.fit(java.util.Collection<? extends ObservationReal> co)
          Fits this observation distribution function to a (non empty) set of observations.
 void OpdfGaussian.fit(java.util.Collection<? extends ObservationReal> co, double[] weights)
           
 void OpdfGaussianMixture.fit(java.util.Collection<? extends ObservationReal> co, double[] weights)
          Fits this observation distribution function to a (non empty) weighted set of observations.
 void CentroidObservationReal.reevaluateAdd(ObservationReal e, java.util.List<? extends ObservationReal> v)
           
 void CentroidObservationReal.reevaluateRemove(ObservationReal e, java.util.List<? extends ObservationReal> v)
           
 

Constructors in be.ac.ulg.montefiore.run.jahmm with parameters of type ObservationReal
CentroidObservationReal(ObservationReal o)
           
 

Uses of ObservationReal in be.ac.ulg.montefiore.run.jahmm.io
 

Methods in be.ac.ulg.montefiore.run.jahmm.io that return ObservationReal
 ObservationReal ObservationRealReader.read(java.io.StreamTokenizer st)
          Reads an ObservationReal reader, as explained in ObservationReader.
 

Methods in be.ac.ulg.montefiore.run.jahmm.io with parameters of type ObservationReal
 void ObservationRealWriter.write(ObservationReal observation, java.io.Writer writer)
           
 



Copyright © 2004,2005 Jean-Marc François.