/*******************************************************************************
* Copyright (c) 2010 Haifeng Li
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
package smile.regression;
/**
* 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.
*
* @param <T> the type of input object
*
* @author Haifeng Li
*/
public interface OnlineRegression <T> extends Regression <T> {
/**
* Online update the regression model with a new training instance.
* In general, this method may be NOT multi-thread safe.
*
* @param x training instance.
* @param y response variable.
*/
public void learn(T x, double y);
}