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/*
* File: LeastSquaresEstimator.java
* Authors: Kevin R. Dixon
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright Jul 4, 2008, Sandia Corporation.
* Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive
* license for use of this work by or on behalf of the U.S. Government.
* Export of this program may require a license from the United States
* Government. See CopyrightHistory.txt for complete details.
*
*/
package gov.sandia.cognition.learning.algorithm.regression;
import gov.sandia.cognition.learning.algorithm.gradient.GradientDescendable;
import gov.sandia.cognition.learning.function.cost.SumSquaredErrorCostFunction;
/**
* Abstract implementation of iterative least-squares estimators.
* @author Kevin R. Dixon
* @since 2.1
*/
public abstract class LeastSquaresEstimator
extends AbstractParameterCostMinimizer
{
/**
* Creates a new instance of LeastSquaresEstimator
* @param maxIterations
* Maximum number of iterations before stopping
* @param tolerance
* Stopping criterion for the algorithm, typically ~1e-5
*/
public LeastSquaresEstimator(
int maxIterations,
double tolerance )
{
super( new SumSquaredErrorCostFunction(), maxIterations, tolerance );
}
}