de.jungblut.online.regression.multinomial

Class MultinomialRegressionClassifier

java.lang.Object

de.jungblut.classification.AbstractPredictor

de.jungblut.online.regression.multinomial.MultinomialRegressionClassifier

All Implemented Interfaces:

de.jungblut.classification.Predictor

public class MultinomialRegressionClassifier
extends de.jungblut.classification.AbstractPredictor

Classifier for multinomial regression.

Author:

thomas.jungblut

Constructor Summary

Constructors

Constructor and Description
MultinomialRegressionClassifier(MultinomialRegressionModel model) Constructs a new multinomial regression classifier that does normalization over independent predictions.
MultinomialRegressionClassifier(MultinomialRegressionModel model, boolean normalize) Constructs a new multinomial regression classifier that does normalization over independent predictions by summing over the predictions and dividing each entry.

Method Summary

Modifier and Type	Method and Description
de.jungblut.math.DoubleVector	predict(de.jungblut.math.DoubleVector feature)

Methods inherited from class de.jungblut.classification.AbstractPredictor

extractPredictedClass, extractPredictedClass, predictedClass, predictedClass, predictProbability

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

Constructor Detail

MultinomialRegressionClassifier

public MultinomialRegressionClassifier(MultinomialRegressionModel model)

Constructs a new multinomial regression classifier that does normalization over independent predictions.

Parameters:

model - the trained model.

MultinomialRegressionClassifier

public MultinomialRegressionClassifier(MultinomialRegressionModel model,
                                       boolean normalize)

Constructs a new multinomial regression classifier that does normalization over independent predictions by summing over the predictions and dividing each entry.

Parameters:

model - the trained model.

normalize - true for normalizing the output.

Method Detail

predict

public de.jungblut.math.DoubleVector predict(de.jungblut.math.DoubleVector feature)