JSMILE Learning: EM
From DSL
This class implements the EM parameter learning algorithm for discrete variables.
Methods
- int getEqSampleSize()
void setEqSampleSize(int size)
The equivalent sample size (defaults to 0).
- boolean getRandomizeParameters()
void setRandomizeParameters(boolean value)
Indicates if the parameters will be randomized when the eqSampleSize is equal to 0 (defaults to true).
- void learn(DataSet data, Network net)
Uses the data set to learn the parameters in the network. This method can throw a SmileException.
