Coverage Report

Coverage Report - weka.classifiers.IntervalEstimator

Classes in this File

 /*
  *   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;
 }
 

1		/*
2		* This program is free software: you can redistribute it and/or modify
3		* it under the terms of the GNU General Public License as published by
4		* the Free Software Foundation, either version 3 of the License, or
5		* (at your option) any later version.
6		*
7		* This program is distributed in the hope that it will be useful,
8		* but WITHOUT ANY WARRANTY; without even the implied warranty of
9		* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
10		* GNU General Public License for more details.
11		*
12		* You should have received a copy of the GNU General Public License
13		* along with this program. If not, see <http://www.gnu.org/licenses/>.
14		*/
15
16		/*
17		* IntervalEstimator.java
18		* Copyright (C) 2005-2012 University of Waikato, Hamilton, New Zealand
19		*
20		*/
21
22		package weka.classifiers;
23
24		import weka.core.Instance;
25
26		/**
27		* Interface for numeric prediction schemes that can output prediction
28		* intervals.
29		*
30		* @author Kurt Driessens (kurtd@cs.waikato.ac.nz)
31		* @version $Revision: 8034 $
32		*/
33		public interface IntervalEstimator {
34
35		/**
36		* Returns an N * 2 array, where N is the number of prediction
37		* intervals. In each row, the first element contains the lower
38		* boundary of the corresponding prediction interval and the second
39		* element the upper boundary.
40		*
41		* @param inst the instance to make the prediction for.
42		* @param confidenceLevel the percentage of cases that the interval should cover.
43		* @return an array of prediction intervals
44		* @exception Exception if the intervals can't be computed
45		*/
46		double[][] predictIntervals(Instance inst, double confidenceLevel) throws Exception;
47		}
48