JSMILE Learning: EM

From DSL

This class implements the EM parameter learning algorithm for discrete variables.

[edit] 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.