/* * 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 3 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, see <http://www.gnu.org/licenses/>. */ /* * IntervalEstimator.java * Copyright (C) 2005-2012 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: 8034 $ */ 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; }