PLearn 0.1
ClassifierFromConditionalPDistribution.h
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00001 
00002 // -*- C++ -*-
00003 
00004 // ClassifierFromConditionalPDistribution.h
00005 //
00006 // Copyright (C) 20032-2005  Pascal Vincent & Olivier Delalleau
00007 // 
00008 // Redistribution and use in source and binary forms, with or without
00009 // modification, are permitted provided that the following conditions are met:
00010 // 
00011 //  1. Redistributions of source code must retain the above copyright
00012 //     notice, this list of conditions and the following disclaimer.
00013 // 
00014 //  2. Redistributions in binary form must reproduce the above copyright
00015 //     notice, this list of conditions and the following disclaimer in the
00016 //     documentation and/or other materials provided with the distribution.
00017 // 
00018 //  3. The name of the authors may not be used to endorse or promote
00019 //     products derived from this software without specific prior written
00020 //     permission.
00021 // 
00022 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00023 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00024 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00025 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00026 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00027 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00028 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00029 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00030 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00031 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00032 // 
00033 // This file is part of the PLearn library. For more information on the PLearn
00034 // library, go to the PLearn Web site at www.plearn.org
00035 
00036 /* *******************************************************      
00037  * $Id: ClassifierFromConditionalPDistribution.h 3994 2005-08-25 13:35:03Z chapados $ 
00038  ******************************************************* */
00039 
00041 #ifndef ClassifierFromConditionalPDistribution_INC
00042 #define ClassifierFromConditionalPDistribution_INC
00043 
00044 #include <plearn_learners/distributions/PDistribution.h>
00045 #include <plearn_learners/generic/PLearner.h>
00046 
00047 namespace PLearn {
00048 
00052 class ClassifierFromConditionalPDistribution: public PLearner
00053 {
00054 
00055 private:
00056 
00057     typedef PLearner inherited;
00058 
00059 protected:
00060 
00061     mutable Vec target_values;
00062     mutable Vec pcd_input;
00063     mutable Vec pcd_output;
00064 
00065 public:
00066 
00067     // ************************
00068     // * public build options *
00069     // ************************
00070 
00073     int nclasses;
00075     PP<PDistribution> pcd;
00077     string output_type;
00078 
00079     // ****************
00080     // * Constructors *
00081     // ****************
00082 
00084     ClassifierFromConditionalPDistribution();
00085 
00086     // ******************
00087     // * PLearner methods *
00088     // ******************
00089 
00090 private: 
00091 
00093     void build_();
00094 
00095 protected: 
00096 
00098     static void declareOptions(OptionList& ol);
00099 
00100 public:
00101 
00102     // ************************
00103     // **** Object methods ****
00104     // ************************
00105 
00107     virtual void build();
00108 
00110     virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies);
00111 
00112     // Declares other standard object methods
00113     //  If your class is not instantiatable (it has pure virtual methods)
00114     // you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT_METHODS 
00115     PLEARN_DECLARE_OBJECT(ClassifierFromConditionalPDistribution);
00116 
00117 
00118     // **************************
00119     // **** PLearner methods ****
00120     // **************************
00121 
00124     virtual int outputsize() const;
00125 
00128     virtual void forget();
00129 
00130     
00133     virtual void train();
00134 
00135 
00137     virtual void computeOutput(const Vec& input, Vec& output) const;
00138 
00140     virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 
00141                                          const Vec& target, Vec& costs) const;
00142                                 
00143 
00145     virtual TVec<string> getTestCostNames() const;
00146 
00149     virtual TVec<string> getTrainCostNames() const;
00150 
00151 
00152 };
00153 
00154 // Declares a few other classes and functions related to this class
00155 DECLARE_OBJECT_PTR(ClassifierFromConditionalPDistribution);
00156   
00157 } // end of namespace PLearn
00158 
00159 #endif
00160 
00161 
00162 /*
00163   Local Variables:
00164   mode:c++
00165   c-basic-offset:4
00166   c-file-style:"stroustrup"
00167   c-file-offsets:((innamespace . 0)(inline-open . 0))
00168   indent-tabs-mode:nil
00169   fill-column:79
00170   End:
00171 */
00172 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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