yat  0.14.5pre
SupervisedClassifier.h
1 #ifndef _theplu_yat_classifier_supervisedclassifier_
2 #define _theplu_yat_classifier_supervisedclassifier_
3 
4 // $Id: SupervisedClassifier.h 2119 2009-12-12 23:11:43Z peter $
5 
6 /*
7  Copyright (C) 2005 Markus Ringnér
8  Copyright (C) 2006 Jari Häkkinen, Peter Johansson, Markus Ringnér
9  Copyright (C) 2007 Jari Häkkinen, Peter Johansson
10  Copyright (C) 2008 Jari Häkkinen, Peter Johansson, Markus Ringnér
11 
12  This file is part of the yat library, http://dev.thep.lu.se/yat
13 
14  The yat library is free software; you can redistribute it and/or
15  modify it under the terms of the GNU General Public License as
16  published by the Free Software Foundation; either version 3 of the
17  License, or (at your option) any later version.
18 
19  The yat library is distributed in the hope that it will be useful,
20  but WITHOUT ANY WARRANTY; without even the implied warranty of
21  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
22  General Public License for more details.
23 
24  You should have received a copy of the GNU General Public License
25  along with yat. If not, see <http://www.gnu.org/licenses/>.
26 */
27 
28 #include <cstddef>
29 
30 namespace theplu {
31 namespace yat {
32 
33  namespace utility {
34  class Matrix;
35  }
36 
37 namespace classifier {
38 
39  class MatrixLookup;
40  class MatrixLookupWeighted;
41  class Target;
42 
57  {
58 
59  public:
64 
65 
69  virtual ~SupervisedClassifier(void);
70 
71 
87  virtual SupervisedClassifier*
88  make_classifier() const =0;
89 
90 
108  virtual void predict(const MatrixLookup& data, utility::Matrix& result) const =0;
109 
110 
117  virtual void predict(const MatrixLookupWeighted& data, utility::Matrix& result) const =0;
118 
119 
130  virtual void train(const MatrixLookup& data, const Target& targets)=0;
131 
139  virtual void train(const MatrixLookupWeighted& data, const Target& targets)=0;
140 
141  };
142 
143 }}} // of namespace classifier, yat, and theplu
144 
145 #endif
General view into utility::Matrix.
Definition: MatrixLookup.h:70
Class for containing sample labels.
Definition: Target.h:47
virtual void predict(const MatrixLookup &data, utility::Matrix &result) const =0
Make predictions for unweighted test data.
Interface class for supervised classifiers that use data in a matrix format.
Definition: SupervisedClassifier.h:56
virtual void train(const MatrixLookup &data, const Target &targets)=0
Train the classifier using unweighted training data with known targets.
General view into utility::MatrixWeighted.
Definition: MatrixLookupWeighted.h:63
virtual ~SupervisedClassifier(void)
Destructor.
virtual SupervisedClassifier * make_classifier() const =0
Create an untrained copy of the classifier.
Interface to GSL matrix.
Definition: Matrix.h:63

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