Package | Description |
---|---|
weka.classifiers.functions.pace |
Modifier and Type | Method and Description |
---|---|
DiscreteFunction |
MixtureDistribution.fitForSingleCluster(DoubleVector data,
int method)
Fits the mixture (or mixing) distribution to the data.
|
DiscreteFunction |
MixtureDistribution.getMixingDistribution()
Gets the mixing distribution
|
DiscreteFunction |
DiscreteFunction.normalize()
Normalizes the function values with L1-norm.
|
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 |
DiscreteFunction.unique()
Makes each individual point value unique
|
Modifier and Type | Method and Description |
---|---|
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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