Package de.jungblut.classification

Class AbstractPredictor

java.lang.Object

de.jungblut.classification.AbstractPredictor

All Implemented Interfaces:

Predictor

Direct Known Subclasses:

AbstractClassifier

public abstract class AbstractPredictor
extends java.lang.Object
implements Predictor

Constructor Summary

Constructors

Constructor	Description
AbstractPredictor()

Method Summary

Modifier and Type	Method	Description
int	extractPredictedClass(de.jungblut.math.DoubleVector predict)	Given an already done prediction, choose the class.
int	extractPredictedClass(de.jungblut.math.DoubleVector predict, double threshold)	Given an already done prediction, choose the class with a threshold.
int	predictedClass(de.jungblut.math.DoubleVector features)	Classifies the given features.
int	predictedClass(de.jungblut.math.DoubleVector features, double threshold)	Classifies the given features.
de.jungblut.math.DoubleVector	predictProbability(de.jungblut.math.DoubleVector features)	Classifies the given features.

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.jungblut.classification.Predictor

asClassifier, predict

Constructor Detail

AbstractPredictor

public AbstractPredictor()

Method Detail

predictedClass

public int predictedClass(de.jungblut.math.DoubleVector features,
                          double threshold)

Description copied from interface: Predictor

Classifies the given features.

Specified by:

predictedClass in interface Predictor

threshold - the threshold for the prediction "probability". In the sigmoid and binary case, you want to set everything greater (>) 0.5 to 1d and everything below (<=) to 0d.

Returns:

the predicted class as an integer for the output of a classifier.

predictedClass

public int predictedClass(de.jungblut.math.DoubleVector features)

Description copied from interface: Predictor

Classifies the given features.

Specified by:

predictedClass in interface Predictor

Returns:

the predicted class as an integer for the output of a classifier.

predictProbability

public de.jungblut.math.DoubleVector predictProbability(de.jungblut.math.DoubleVector features)

Description copied from interface: Predictor

Classifies the given features.

Specified by:

predictProbability in interface Predictor

Returns:

a vector that returns the probability of all outcomes. The output vector should sum to one.

extractPredictedClass

public int extractPredictedClass(de.jungblut.math.DoubleVector predict)

Description copied from interface: Predictor

Given an already done prediction, choose the class.

Specified by:

extractPredictedClass in interface Predictor

Returns:

the class index as integer.

extractPredictedClass

public int extractPredictedClass(de.jungblut.math.DoubleVector predict,
                                 double threshold)

Description copied from interface: Predictor

Given an already done prediction, choose the class with a threshold.

Specified by:

extractPredictedClass in interface Predictor

Returns:

the class index as integer.