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Packages that use ObservationVector | |
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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 ObservationVector in be.ac.ulg.montefiore.run.jahmm |
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Methods in be.ac.ulg.montefiore.run.jahmm that return ObservationVector | |
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ObservationVector |
ObservationVector.clone()
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ObservationVector |
OpdfMultiGaussian.generate()
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ObservationVector |
ObservationVector.minus(ObservationVector o)
Returns a new observation that is the difference between this observation and another one. |
ObservationVector |
ObservationVector.plus(ObservationVector o)
Returns a new observation that is the sum of this observation and another one. |
ObservationVector |
ObservationVector.times(double c)
Returns a new observation that is the product of this observation by a scalar. |
Methods in be.ac.ulg.montefiore.run.jahmm that return types with arguments of type ObservationVector | |
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Centroid<ObservationVector> |
ObservationVector.factor()
Returns the centroid matching this observation. |
Methods in be.ac.ulg.montefiore.run.jahmm with parameters of type ObservationVector | |
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double |
CentroidObservationVector.distance(ObservationVector e)
Returns the distance between this centroid and an element. |
void |
OpdfMultiGaussian.fit(ObservationVector... oa)
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void |
OpdfMultiGaussian.fit(ObservationVector[] o,
double[] weights)
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ObservationVector |
ObservationVector.minus(ObservationVector o)
Returns a new observation that is the difference between this observation and another one. |
ObservationVector |
ObservationVector.plus(ObservationVector o)
Returns a new observation that is the sum of this observation and another one. |
double |
OpdfMultiGaussian.probability(ObservationVector o)
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void |
CentroidObservationVector.reevaluateAdd(ObservationVector e,
java.util.List<? extends ObservationVector> v)
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void |
CentroidObservationVector.reevaluateRemove(ObservationVector e,
java.util.List<? extends ObservationVector> v)
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Method parameters in be.ac.ulg.montefiore.run.jahmm with type arguments of type ObservationVector | |
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void |
OpdfMultiGaussian.fit(java.util.Collection<? extends ObservationVector> co)
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void |
OpdfMultiGaussian.fit(java.util.Collection<? extends ObservationVector> co,
double[] weights)
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void |
CentroidObservationVector.reevaluateAdd(ObservationVector e,
java.util.List<? extends ObservationVector> v)
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void |
CentroidObservationVector.reevaluateRemove(ObservationVector e,
java.util.List<? extends ObservationVector> v)
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Constructors in be.ac.ulg.montefiore.run.jahmm with parameters of type ObservationVector | |
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CentroidObservationVector(ObservationVector o)
Creates a new centroid that represents the mean value of a set of ObservationVector s. |
Uses of ObservationVector in be.ac.ulg.montefiore.run.jahmm.io |
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Methods in be.ac.ulg.montefiore.run.jahmm.io that return ObservationVector | |
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ObservationVector |
ObservationVectorReader.read(java.io.StreamTokenizer st)
An ObservationInteger reader, as explained in
ObservationReader . |
Methods in be.ac.ulg.montefiore.run.jahmm.io with parameters of type ObservationVector | |
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void |
ObservationVectorWriter.write(ObservationVector observation,
java.io.Writer writer)
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