javax.visrec.ml.regression

Class LogisticRegression<MODEL_CLASS>

java.lang.Object

javax.visrec.ml.regression.LogisticRegression<MODEL_CLASS>

Type Parameters:

MODEL_CLASS - Implementation class of underlying machine learning model

All Implemented Interfaces:

BinaryClassifier<float[]>, Classifier<float[],Float>

public abstract class LogisticRegression<MODEL_CLASS>
extends Object
implements BinaryClassifier<float[]>

This class performs basic binary classification - mapping of specified input to true/false with probability.

Author:

Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
LogisticRegression()

Method Summary

Modifier and Type	Method and Description
MODEL_CLASS	getModel()
protected void	setModel(MODEL_CLASS model)

Methods inherited from class java.lang.Object

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

Methods inherited from interface javax.visrec.ml.classification.Classifier

classify

Constructor Detail

LogisticRegression

public LogisticRegression()

Method Detail

getModel

public MODEL_CLASS getModel()

setModel

protected void setModel(MODEL_CLASS model)