01: /*
02: * This program is free software; you can redistribute it and/or modify
03: * it under the terms of the GNU General Public License as published by
04: * the Free Software Foundation; either version 2 of the License, or
05: * (at your option) any later version.
06: *
07: * This program is distributed in the hope that it will be useful,
08: * but WITHOUT ANY WARRANTY; without even the implied warranty of
09: * 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, write to the Free Software
14: * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
15: */
16:
17: /*
18: * IntervalEstimator.java
19: * Copyright (C) 2005 University of Waikato, Hamilton, New Zealand
20: *
21: */
22:
23: package weka.classifiers;
24:
25: import weka.core.Instance;
26:
27: /**
28: * Interface for classifiers that can output confidence intervals
29: *
30: * @author Kurt Driessens (kurtd@cs.waikato.ac.nz)
31: * @version $Revision: 1.2 $
32: */
33: public interface IntervalEstimator {
34:
35: /**
36: * Returns an N*2 array, where N is the number of possible classes, that estimate
37: * the boundaries for the confidence interval with a confidence level specified by
38: * the second parameter. Every row of the returned array gives the probability estimates
39: * for a single class. In the case of numeric predictions, a single confidance interval
40: * will be returned.
41: *
42: * @param inst the instance to make the prediction for.
43: * @param confidenceLevel the percentage of cases that the interval should cover.
44: * @return an array of confidance intervals (one for each class)
45: * @exception Exception if the intervals can't be computed
46: */
47: double[][] predictInterval(Instance inst, double confidenceLevel)
48: throws Exception;
49: }
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