LBJ2.learn
Class Parameters

java.lang.Object
  LBJ2.learn.Parameters

Direct Known Subclasses:

LinearThresholdUnit.Parameters, MuxLearner.Parameters, NaiveBayes.Parameters, SparseNetworkLearner.Parameters, StochasticGradientDescent.Parameters, WekaWrapper.Parameters

public class Parameters
extends java.lang.Object

Parameters classes are used to hold values for learning algorithm parameters, and all learning algorithm implementations must provide a constructor that takes such an object as input. All algorithm specific Parameters classes extend this class, which is empty.

Constructor Summary

Parameters()

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Parameters

public Parameters()