/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* IntervalEstimator.java
* Copyright (C) 2005 University of Waikato, Hamilton, New Zealand
*
*/
package weka.classifiers;
import weka.core.Instance;
/**
* Interface for numeric prediction schemes that can output prediction
* intervals.
*
* @author Kurt Driessens (kurtd@cs.waikato.ac.nz)
* @version $Revision: 6041 $
*/
public interface IntervalEstimator {
/**
* Returns an N * 2 array, where N is the number of prediction
* intervals. In each row, the first element contains the lower
* boundary of the corresponding prediction interval and the second
* element the upper boundary.
*
* @param inst the instance to make the prediction for.
* @param confidenceLevel the percentage of cases that the interval should cover.
* @return an array of prediction intervals
* @exception Exception if the intervals can't be computed
*/
double[][] predictIntervals(Instance inst, double confidenceLevel) throws Exception;
}