PLearn 0.1
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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 :