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Packages that use DiscreteFunction | |
weka.classifiers.functions.pace |
Uses of DiscreteFunction in weka.classifiers.functions.pace |
Fields in weka.classifiers.functions.pace declared as DiscreteFunction | |
protected DiscreteFunction |
MixtureDistribution.mixingDistribution
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Methods in weka.classifiers.functions.pace that return DiscreteFunction | |
private DiscreteFunction |
DiscreteFunction.formalize()
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DiscreteFunction |
DiscreteFunction.normalize()
Normalizes the function values with L1-norm. |
DiscreteFunction |
DiscreteFunction.unique()
Makes each individual point value unique |
DiscreteFunction |
DiscreteFunction.plus(DiscreteFunction d)
Returns the combined of two discrete functions |
DiscreteFunction |
DiscreteFunction.plusEquals(DiscreteFunction d)
Returns the combined of two discrete functions. |
DiscreteFunction |
DiscreteFunction.timesEquals(double x)
All function values are multiplied by a double |
DiscreteFunction |
MixtureDistribution.getMixingDistribution()
Gets the mixing distribution |
DiscreteFunction |
MixtureDistribution.fitForSingleCluster(DoubleVector data,
int method)
Fits the mixture (or mixing) distribution to the data. |
Methods in weka.classifiers.functions.pace with parameters of type DiscreteFunction | |
DiscreteFunction |
DiscreteFunction.plus(DiscreteFunction d)
Returns the combined of two discrete functions |
DiscreteFunction |
DiscreteFunction.plusEquals(DiscreteFunction d)
Returns the combined of two discrete functions. |
void |
MixtureDistribution.setMixingDistribution(DiscreteFunction d)
Sets the mixing distribution |
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