smile.regression

Interface OnlineRegression<T>

Type Parameters:

T - the type of input object

All Superinterfaces:

Regression<T>

All Known Implementing Classes:

NeuralNetwork, RLS

public interface OnlineRegression<T>
extends Regression<T>

Regression model with online learning capability. Online learning is a model of induction that learns one instance at a time. More formally, an online algorithm proceeds in a sequence of trials.

Method Summary

Modifier and Type	Method and Description
void	learn(T x, double y) Online update the regression model with a new training instance.

Methods inherited from interface smile.regression.Regression

predict, predict

Method Detail

learn

void learn(T x,
           double y)

Online update the regression model with a new training instance. In general, this method may be NOT multi-thread safe.

Parameters:

x - training instance.

y - response variable.