jsat.classifiers.bayesian

Enum NaiveBayes.NumericalHandeling

java.lang.Object

java.lang.Enum<NaiveBayes.NumericalHandeling>

jsat.classifiers.bayesian.NaiveBayes.NumericalHandeling

All Implemented Interfaces:

Serializable, Comparable<NaiveBayes.NumericalHandeling>

Enclosing class:

NaiveBayes

public static enum NaiveBayes.NumericalHandeling
extends Enum<NaiveBayes.NumericalHandeling>

There are multiple ways of handling numerical attributes. These provide the different ways that NaiveBayes can deal with them.

Enum Constant Summary

Enum Constants

Enum Constant and Description
BEST_FIT The best fitting ContinuousDistribution is selected by DistributionSearch.getBestDistribution(jsat.linear.Vec)
BEST_FIT_KDE The best fitting ContinuousDistribution is selected by DistributionSearch.getBestDistribution(jsat.linear.Vec, double), and provides a cut off value to use the KernelDensityEstimator instead
NORMAL All numerical attributes are fit to a Normal distribution.

Method Summary

Modifier and Type	Method and Description
protected abstract ContinuousDistribution	fit(Vec y)
static NaiveBayes.NumericalHandeling	valueOf(String name) Returns the enum constant of this type with the specified name.
static NaiveBayes.NumericalHandeling[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

NORMAL

public static final NaiveBayes.NumericalHandeling NORMAL

All numerical attributes are fit to a Normal distribution.

BEST_FIT

public static final NaiveBayes.NumericalHandeling BEST_FIT

The best fitting ContinuousDistribution is selected by DistributionSearch.getBestDistribution(jsat.linear.Vec)

BEST_FIT_KDE

public static final NaiveBayes.NumericalHandeling BEST_FIT_KDE

The best fitting ContinuousDistribution is selected by DistributionSearch.getBestDistribution(jsat.linear.Vec, double), and provides a cut off value to use the KernelDensityEstimator instead

Method Detail

values

public static NaiveBayes.NumericalHandeling[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (NaiveBayes.NumericalHandeling c : NaiveBayes.NumericalHandeling.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static NaiveBayes.NumericalHandeling valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

fit

protected abstract ContinuousDistribution fit(Vec y)