PLearn 0.1
GaussMixLocalProjections.h
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00001 // -*- C++ -*-
00002 
00003 // GaussMixLocalProjections.h
00004 //
00005 // Copyright (C) 2005 Olivier Delalleau 
00006 // 
00007 // Redistribution and use in source and binary forms, with or without
00008 // modification, are permitted provided that the following conditions are met:
00009 // 
00010 //  1. Redistributions of source code must retain the above copyright
00011 //     notice, this list of conditions and the following disclaimer.
00012 // 
00013 //  2. Redistributions in binary form must reproduce the above copyright
00014 //     notice, this list of conditions and the following disclaimer in the
00015 //     documentation and/or other materials provided with the distribution.
00016 // 
00017 //  3. The name of the authors may not be used to endorse or promote
00018 //     products derived from this software without specific prior written
00019 //     permission.
00020 // 
00021 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00022 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00023 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00024 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00025 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00026 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00027 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00028 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00029 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00030 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00031 // 
00032 // This file is part of the PLearn library. For more information on the PLearn
00033 // library, go to the PLearn Web site at www.plearn.org
00034 
00035 /* *******************************************************      
00036  * $Id: GaussMixLocalProjections.h 3994 2005-08-25 13:35:03Z chapados $ 
00037  ******************************************************* */
00038 
00039 // Authors: Olivier Delalleau
00040 
00044 #ifndef GaussMixLocalProjections_INC
00045 #define GaussMixLocalProjections_INC
00046 
00047 #include <plearn_learners/generic/EmbeddedLearner.h>
00048 #include <plearn_learners/distributions/GaussMix.h>
00049 
00050 namespace PLearn {
00051 
00052 class GaussMixLocalProjections: public EmbeddedLearner {
00053 
00054 private:
00055 
00056     typedef EmbeddedLearner inherited;
00057   
00058 protected:
00059 
00062     PP<GaussMix> gauss_mix;
00063 
00064     // *********************
00065     // * protected options *
00066     // *********************
00067 
00068     int n_components;
00069     TVec<int> outputsizes;
00070 
00071 public:
00072 
00073     // ************************
00074     // * public build options *
00075     // ************************
00076 
00077     // ****************
00078     // * Constructors *
00079     // ****************
00080 
00082     GaussMixLocalProjections();
00083 
00084     // ********************
00085     // * PLearner methods *
00086     // ********************
00087 
00088 private: 
00089 
00091     void build_();
00092 
00093 protected: 
00094   
00096     static void declareOptions(OptionList& ol);
00097 
00098 public:
00099 
00100     // ************************
00101     // **** Object methods ****
00102     // ************************
00103 
00105     virtual void build();
00106 
00108     virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies);
00109 
00110     // Declares other standard object methods.
00111     PLEARN_DECLARE_OBJECT(GaussMixLocalProjections);
00112 
00113     // **************************
00114     // **** PLearner methods ****
00115     // **************************
00116 
00119     virtual int outputsize() const;
00120 
00121     /* TODO Remove (inherited from parent.
00124     virtual void forget();
00125     
00128     virtual void train();
00129     */
00130 
00132     virtual void computeOutput(const Vec& input, Vec& output) const;
00133 
00135     virtual void computeCostsFromOutputs(const Vec& input, const Vec& output, 
00136                                          const Vec& target, Vec& costs) const;
00137 
00139     virtual TVec<std::string> getTestCostNames() const;
00140 
00143     virtual TVec<std::string> getTrainCostNames() const;
00144 
00146     virtual void computeOutputAndCosts(const Vec& input, const Vec& target, Vec& output, Vec& costs) const {
00147         return PLearner::computeOutputAndCosts(input, target, output, costs);
00148     }
00149 
00150     // *** SUBCLASS WRITING: ***
00151     // While in general not necessary, in case of particular needs 
00152     // (efficiency concerns for ex) you may also want to overload
00153     // some of the following methods:
00154     // virtual void computeCostsOnly(const Vec& input, const Vec& target, Vec& costs) const;
00155     // virtual void test(VMat testset, PP<VecStatsCollector> test_stats, VMat testoutputs=0, VMat testcosts=0) const;
00156     // virtual int nTestCosts() const;
00157     // virtual int nTrainCosts() const;
00158     // virtual void setTrainingSet(VMat training_set, bool call_forget = true);
00159     // virtual void resetInternalState();
00160     // virtual bool isStatefulLearner() const;
00161 
00162 };
00163 
00164 // Declares a few other classes and functions related to this class.
00165 DECLARE_OBJECT_PTR(GaussMixLocalProjections);
00166   
00167 } // end of namespace PLearn
00168 
00169 #endif
00170 
00171 
00172 /*
00173   Local Variables:
00174   mode:c++
00175   c-basic-offset:4
00176   c-file-style:"stroustrup"
00177   c-file-offsets:((innamespace . 0)(inline-open . 0))
00178   indent-tabs-mode:nil
00179   fill-column:79
00180   End:
00181 */
00182 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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