fr.lip6.jkernelmachines.density

Interface DensityFunction<T>

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

DoubleGaussianMixtureModel, DoubleKMeans, ParzenDensity, SDCADensity, SimpleMKLDensity, SMODensity

public interface DensityFunction<T>
extends java.io.Serializable

Density estimation based on training.

Author:

dpicard

Method Summary

Modifier and Type	Method and Description
void	train(java.util.List<T> e) Train the density function on the specified training set
void	train(T e) Adds a sample to the training set and train the density function
double	valueOf(T e) Value of the density function for the specified sample

Method Detail

train

void train(T e)

Adds a sample to the training set and train the density function

Parameters:

e - the sample to add to the training set

train

void train(java.util.List<T> e)

Train the density function on the specified training set

Parameters:

e - the list of training samples

valueOf

double valueOf(T e)

Value of the density function for the specified sample

Parameters:

e - the sample to evaluate

Returns:

value of the density function