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SumOfVariable.h

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00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // Copyright (C) 1998 Pascal Vincent 00005 // Copyright (C) 1999-2002 Pascal Vincent, Yoshua Bengio, Rejean Ducharme and University of Montreal 00006 // Copyright (C) 2001-2002 Nicolas Chapados, Ichiro Takeuchi, Jean-Sebastien Senecal 00007 // Copyright (C) 2002 Xiangdong Wang, Christian Dorion 00008 00009 // Redistribution and use in source and binary forms, with or without 00010 // modification, are permitted provided that the following conditions are met: 00011 // 00012 // 1. Redistributions of source code must retain the above copyright 00013 // notice, this list of conditions and the following disclaimer. 00014 // 00015 // 2. Redistributions in binary form must reproduce the above copyright 00016 // notice, this list of conditions and the following disclaimer in the 00017 // documentation and/or other materials provided with the distribution. 00018 // 00019 // 3. The name of the authors may not be used to endorse or promote 00020 // products derived from this software without specific prior written 00021 // permission. 00022 // 00023 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00024 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00025 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00026 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00027 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00028 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00029 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00030 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00031 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00032 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00033 // 00034 // This file is part of the PLearn library. For more information on the PLearn 00035 // library, go to the PLearn Web site at www.plearn.org 00036 00037 00038 /* ******************************************************* 00039 * $Id: SumOfVariable.h,v 1.5 2004/04/27 16:05:57 morinf Exp $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #ifndef SumOfVariable_INC 00044 #define SumOfVariable_INC 00045 00046 #include "NaryVariable.h" 00047 00048 namespace PLearn { 00049 using namespace std; 00050 00051 00052 class SumOfVariable: public NaryVariable 00053 { 00054 typedef NaryVariable inherited; 00055 00056 public: 00057 //protected: 00058 VMat distr; 00059 Func f; 00060 int nsamples; 00061 int curpos; 00062 // To avoid allocation/deallocations in fprop/bprop 00063 Vec input_value; 00064 Vec input_gradient; 00065 Vec output_value; 00066 00067 public: 00069 SumOfVariable() : distr(), f(), nsamples(), curpos() {} 00071 SumOfVariable(VMat the_distr, Func the_f, int the_nsamples=-1); 00072 00073 PLEARN_DECLARE_OBJECT(SumOfVariable); 00074 static void declareOptions(OptionList &ol); 00075 00076 virtual void build(); 00077 00078 virtual void recomputeSize(int& l, int& w) const; 00079 virtual void makeDeepCopyFromShallowCopy(map<const void*, void*>& copies); 00080 virtual void fprop(); 00081 virtual void bprop(); 00082 virtual void fbprop(); 00083 virtual void symbolicBprop(); 00084 virtual void rfprop(); 00085 00086 void printInfo(bool print_gradient); 00087 00088 protected: 00089 void build_(); 00090 }; 00091 00092 DECLARE_OBJECT_PTR(SumOfVariable); 00093 00095 inline Var sumOf(VMat distr, Func f, int nsamples) 00096 { return new SumOfVariable(distr,f,nsamples); } 00097 00099 inline Var sumOf(Var output, const VarArray& inputs, VMat distr, int nsamples, VarArray parameters=VarArray()) 00100 { return sumOf(distr,Func(inputs,output),nsamples); } 00101 00103 inline Var meanOf(VMat distr, Func f, int nsamples) 00104 { return new SumOfVariable(distr,f/nsamples,nsamples); } 00105 00107 inline Var meanOf(Var output, const VarArray& inputs, VMat distr, int nsamples, VarArray parameters=VarArray()) 00108 { return meanOf(distr, Func(inputs,output), nsamples); } 00109 00110 } // end of namespace PLearn 00111 00112 #endif

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