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: * SplitCriterion.java
19: * Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
20: *
21: */
22:
23: package weka.classifiers.trees.j48;
24:
25: import java.io.Serializable;
26:
27: /**
28: * Abstract class for computing splitting criteria
29: * with respect to distributions of class values.
30: *
31: * @author Eibe Frank (eibe@cs.waikato.ac.nz)
32: * @version $Revision: 1.7 $
33: */
34: public abstract class SplitCriterion implements Serializable {
35:
36: /** for serialization */
37: private static final long serialVersionUID = 5490996638027101259L;
38:
39: /**
40: * Computes result of splitting criterion for given distribution.
41: *
42: * @return value of splitting criterion. 0 by default
43: */
44: public double splitCritValue(Distribution bags) {
45:
46: return 0;
47: }
48:
49: /**
50: * Computes result of splitting criterion for given training and
51: * test distributions.
52: *
53: * @return value of splitting criterion. 0 by default
54: */
55: public double splitCritValue(Distribution train, Distribution test) {
56:
57: return 0;
58: }
59:
60: /**
61: * Computes result of splitting criterion for given training and
62: * test distributions and given number of classes.
63: *
64: * @return value of splitting criterion. 0 by default
65: */
66: public double splitCritValue(Distribution train, Distribution test,
67: int noClassesDefault) {
68:
69: return 0;
70: }
71:
72: /**
73: * Computes result of splitting criterion for given training and
74: * test distributions and given default distribution.
75: *
76: * @return value of splitting criterion. 0 by default
77: */
78: public double splitCritValue(Distribution train, Distribution test,
79: Distribution defC) {
80:
81: return 0;
82: }
83: }
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