Package | Description |
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org.shared.stat.ml |
A package of machine learning algorithms.
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Modifier and Type | Method and Description |
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GmComponents |
GmModel.initialize(RealArray input,
int nComps,
double regularization) |
protected abstract GmComponents |
AbstractGmModel.initialize(RealArray points,
int nComps,
double regularization)
Initializes the mixture components.
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GmComponents |
AbstractGmModel.train(RealArray points,
int nComps,
double regularization,
double delta)
Trains the model.
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Modifier and Type | Method and Description |
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RealArray |
GmModel.computeLogWeightedDensities(GmComponents gmc,
RealArray points) |
protected abstract RealArray |
AbstractGmModel.computeLogWeightedDensities(GmComponents gmc,
RealArray points)
Computes the log of the weighted densities.
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RealArray |
AbstractGmModel.computePosterior(GmComponents gmc,
RealArray points)
Computes the posterior distribution and updates the mean likelihood of the points.
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void |
GmModel.update(GmComponents gmc,
RealArray posterior,
RealArray points,
double regularization) |
protected abstract void |
AbstractGmModel.update(GmComponents gmc,
RealArray posterior,
RealArray points,
double regularization)
Performs the update rule.
|