edu.illinois.cs.cogcomp.lbjava.learn

Class NaiveBayes.Parameters

java.lang.Object

edu.illinois.cs.cogcomp.lbjava.learn.Learner.Parameters

edu.illinois.cs.cogcomp.lbjava.learn.NaiveBayes.Parameters

All Implemented Interfaces:

Serializable

Enclosing class:

NaiveBayes

public static class NaiveBayes.Parameters
extends Learner.Parameters

Simply a container for all of NaiveBayes's configurable parameters. Using instances of this class should make code more readable and constructors less complicated.

Author:

Nick Rizzolo

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double	smoothing The exponential of this number is used as the conditional probability of a feature that was never observed during training; default NaiveBayes.defaultSmoothing.

Fields inherited from class edu.illinois.cs.cogcomp.lbjava.learn.Learner.Parameters

rounds

Constructor Summary

Constructors

Constructor and Description
Parameters() Sets all the default values.
Parameters(Learner.Parameters p) Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.
Parameters(NaiveBayes.Parameters p) Copy constructor.

Method Summary

Modifier and Type	Method and Description
String	nonDefaultString() Creates a string representation of these parameters in which only those parameters that differ from their default values are mentioned.
void	setParameters(Learner l) Calls the appropriate Learner.setParameters(Parameters) method for this Parameters object.

Methods inherited from class java.lang.Object

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

Field Detail

smoothing

public double smoothing

The exponential of this number is used as the conditional probability of a feature that was never observed during training; default NaiveBayes.defaultSmoothing.

Constructor Detail

Parameters

public Parameters()

Sets all the default values.

Parameters

public Parameters(Learner.Parameters p)

Sets the parameters from the parent's parameters object, giving defaults to all parameters declared in this object.

Parameters

public Parameters(NaiveBayes.Parameters p)

Copy constructor.

Method Detail

setParameters

public void setParameters(Learner l)

Calls the appropriate Learner.setParameters(Parameters) method for this Parameters object.

Overrides:

setParameters in class Learner.Parameters

Parameters:

l - The learner whose parameters will be set.

nonDefaultString

public String nonDefaultString()

Creates a string representation of these parameters in which only those parameters that differ from their default values are mentioned.

Overrides:

nonDefaultString in class Learner.Parameters