net.yacy.cora.bayes

Class Classification<T,K>

java.lang.Object

net.yacy.cora.bayes.Classification<T,K>

Type Parameters:

T - The feature class.

K - The category class.

public class Classification<T,K>
extends java.lang.Object

A basic wrapper reflecting a classification. It will store both featureset and resulting classification.

Author:

Philipp Nolte

Field Summary

Fields

Modifier and Type	Field and Description
private K	category The category as which the featureset was classified.
private java.util.Collection<T>	featureset The classified featureset.
private float	probability The probability that the featureset belongs to the given category.

Constructor Summary

Constructors

Constructor and Description
Classification(java.util.Collection<T> featureset, K category) Constructs a new Classification with the parameters given and a default probability of 1.
Classification(java.util.Collection<T> featureset, K category, float probability) Constructs a new Classification with the parameters given.

Method Summary

Methods

Modifier and Type	Method and Description
K	getCategory() Retrieves the category the featureset was classified as.
java.util.Collection<T>	getFeatureset() Retrieves the featureset classified.
float	getProbability() Retrieves the classification's probability.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

featureset

private java.util.Collection<T> featureset

The classified featureset.

category

private K category

The category as which the featureset was classified.

probability

private float probability

The probability that the featureset belongs to the given category.

Constructor Detail

Classification

public Classification(java.util.Collection<T> featureset,
              K category)

Constructs a new Classification with the parameters given and a default probability of 1.

Parameters:

featureset - The featureset.

category - The category.

Classification

public Classification(java.util.Collection<T> featureset,
              K category,
              float probability)

Constructs a new Classification with the parameters given.

Parameters:

featureset - The featureset.

category - The category.

probability - The probability.

Method Detail

getFeatureset

public java.util.Collection<T> getFeatureset()

Retrieves the featureset classified.

Returns:

The featureset.

getProbability

public float getProbability()

Retrieves the classification's probability.

Returns:

getCategory

public K getCategory()

Retrieves the category the featureset was classified as.

Returns:

The category.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object