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: PDistributionVariable.cc,v 1.1 2004/08/17 15:37:05 larocheh Exp $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "PDistributionVariable.h" 00044 #include "Var_operators.h" 00045 //#include "Var_utils.h" 00046 00047 namespace PLearn { 00048 using namespace std; 00049 00050 00053 PLEARN_IMPLEMENT_OBJECT(PDistributionVariable, "Variable that represents a random variable according to some PDistribution object", 00054 ""); 00055 00056 PDistributionVariable::PDistributionVariable(Variable* no_noise_var, PP<PDistribution> this_dist) 00057 : inherited(no_noise_var,no_noise_var->length(), no_noise_var->width()), dist(this_dist) 00058 {} 00059 00060 void PDistributionVariable::recomputeSize(int& l, int& w) const 00061 { 00062 if (input) { 00063 l = input->length(); 00064 w = input->width(); 00065 } else 00066 l = w = 0; 00067 } 00068 00070 // declareOptions // 00072 void PDistributionVariable::declareOptions(OptionList& ol) 00073 { 00074 declareOption(ol, "dist", &PDistributionVariable::dist, OptionBase::buildoption, 00075 "PDistribution source of the variable.\n"); 00076 00077 inherited::declareOptions(ol); 00078 } 00079 00081 // build // 00083 void PDistributionVariable::build() 00084 { 00085 inherited::build(); 00086 build_(); 00087 } 00088 00089 void PDistributionVariable::build_() 00090 { 00091 dist->train(); 00092 } 00093 00094 void PDistributionVariable::makeDeepCopyFromShallowCopy(map<const void*, void*>& copies) 00095 { 00096 Variable::makeDeepCopyFromShallowCopy(copies); 00097 deepCopyField(dist, copies); 00098 } 00099 00100 00101 void PDistributionVariable::fprop() 00102 { 00103 dist->generate(value); 00104 } 00105 00106 void PDistributionVariable::bprop() {} // No input: nothing to bprop 00107 00108 void PDistributionVariable::bbprop() {} // No input: nothing to bbprop 00109 void PDistributionVariable::rfprop() { PLERROR("In PDistributionVariable::rfbprop() : Not implemented");} 00110 void PDistributionVariable::symbolicBprop() {} // No input: nothing to bprop 00111 00112 } // end of namespace PLearn 00113 00114