PLearn 0.1
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00001 // -*- C++ -*- 00002 00003 // InferenceRBM.h 00004 // 00005 // Copyright (C) 2008 Pascal Lamblin 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 // Authors: Pascal Lamblin 00036 00040 #ifndef InferenceRBM_INC 00041 #define InferenceRBM_INC 00042 00043 #include <plearn/base/Object.h> 00044 #include <plearn_learners/online/RBMLayer.h> 00045 #include <plearn_learners/online/RBMMultinomialLayer.h> 00046 #include <plearn_learners/online/RBMBinomialLayer.h> 00047 #include <plearn_learners/online/RBMMixedLayer.h> 00048 #include <plearn_learners/online/RBMMatrixConnection.h> 00049 #include <plearn_learners/online/RBMMixedConnection.h> 00050 00051 namespace PLearn { 00052 00060 class InferenceRBM : public Object 00061 { 00062 typedef Object inherited; 00063 00064 public: 00065 //##### Public Build Options ############################################ 00066 00069 PP<RBMLayer> input_layer; 00070 00072 PP<RBMMultinomialLayer> target_layer; 00073 00075 PP<RBMBinomialLayer> hidden_layer; 00076 00078 PP<RBMMatrixConnection> input_to_hidden; 00079 00081 PP<RBMMatrixConnection> target_to_hidden; 00082 00087 string exp_method; 00088 00090 int n_gibbs_steps; 00091 00093 PP<PRandom> random_gen; 00094 00096 bool use_fast_approximations; 00097 00098 00099 00100 public: 00101 //##### Public Member Functions ######################################### 00102 00104 // ### Make sure the implementation in the .cc 00105 // ### initializes all fields to reasonable default values. 00106 InferenceRBM(); 00107 00108 // Your other public member functions go here 00109 00110 void hiddenExpGivenVisible(const Mat& visible); 00111 void hiddenExpGivenInputTarget(const Mat& input, const TVec<int>& target); 00112 void hiddenExpGivenInput(const Mat& input); 00113 void targetExpGivenInput(const Mat& input); 00114 00115 Mat getHiddenExpGivenVisible(const Mat& visible); 00116 Mat getHiddenExpGivenInputTarget(const Mat& input, const TVec<int>& target); 00117 Mat getHiddenExpGivenInput(const Mat& input); 00118 Mat getTargetExpGivenInput(const Mat& input); 00119 00120 void supCDStep(const Mat& visible); 00121 void unsupCDStep(const Mat& input); 00122 00123 virtual void setLearningRate(real the_learning_rate); 00124 00125 //##### PLearn::Object Protocol ######################################### 00126 00127 // Declares other standard object methods. 00128 PLEARN_DECLARE_OBJECT(InferenceRBM); 00129 00130 // Simply calls inherited::build() then build_() 00131 virtual void build(); 00132 00134 // (PLEASE IMPLEMENT IN .cc) 00135 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00136 00137 protected: 00138 //##### Protected Options ############################################### 00139 00140 // ### Declare protected option fields (such as learned parameters) here 00142 PP<RBMMixedLayer> visible_layer; 00143 00144 PP<RBMMixedConnection> visible_to_hidden; 00145 00147 int input_size; 00148 00150 int target_size; 00151 00153 int visible_size; 00154 00156 int hidden_size; 00157 00158 protected: 00159 //##### Protected Member Functions ###################################### 00160 00162 static void declareOptions(OptionList& ol); 00163 00165 static void declareMethods(RemoteMethodMap& rmm); 00166 00167 private: 00168 //##### Private Member Functions ######################################## 00169 00171 void build_(); 00172 00173 void build_rbms(); 00174 00175 private: 00176 //##### Private Data Members ############################################ 00177 00178 // The rest of the private stuff goes here 00179 mutable Mat v0; 00180 mutable Mat h0; 00181 }; 00182 00183 // Declares a few other classes and functions related to this class 00184 DECLARE_OBJECT_PTR(InferenceRBM); 00185 00186 } // end of namespace PLearn 00187 00188 #endif 00189 00190 00191 /* 00192 Local Variables: 00193 mode:c++ 00194 c-basic-offset:4 00195 c-file-style:"stroustrup" 00196 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00197 indent-tabs-mode:nil 00198 fill-column:79 00199 End: 00200 */ 00201 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :