PLearn 0.1
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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: IsMissingVariable.cc 5707 2006-05-29 20:54:47Z larocheh $ 00040 * This file is part of the PLearn library. 00041 ******************************************************* */ 00042 00043 #include "IsMissingVariable.h" 00044 00045 namespace PLearn { 00046 using namespace std; 00047 00048 00051 PLEARN_IMPLEMENT_OBJECT(IsMissingVariable, 00052 "ONE LINE DESCR", 00053 "NO HELP"); 00054 00055 IsMissingVariable::IsMissingVariable(Variable* input1, bool parall, bool the_set_parallel_missing_output, Vec the_parallel_missing_outputs) 00056 : inherited(input1, parall?input1->length():1, parall?input1->width():1), parallel(parall), set_parallel_missing_output(the_set_parallel_missing_output), parallel_missing_outputs(the_parallel_missing_outputs) 00057 {} 00058 00059 void 00060 IsMissingVariable::declareOptions(OptionList &ol) 00061 { 00062 declareOption(ol, "parallel", &IsMissingVariable::parallel, OptionBase::buildoption, ""); 00063 inherited::declareOptions(ol); 00064 declareOption(ol, "parallel_missing_outputs", &IsMissingVariable::parallel_missing_outputs, OptionBase::buildoption, ""); 00065 declareOption(ol, "set_parallel_missing_output", &IsMissingVariable::set_parallel_missing_output, OptionBase::buildoption, ""); 00066 inherited::declareOptions(ol); 00067 } 00068 00069 void IsMissingVariable::build() 00070 { 00071 inherited::build(); 00072 build_(); 00073 } 00074 00075 void IsMissingVariable::build_() 00076 { 00077 if(parallel_missing_outputs.length() != input->size()) 00078 PLERROR("In IsMissingVariable::build_(): parallel_missing_outputs' size is different from input size."); 00079 } 00080 00081 void IsMissingVariable::recomputeSize(int& l, int& w) const 00082 { 00083 if (input) { 00084 l = parallel ? input->length() : 1; 00085 w = parallel ? input->width() : 1; 00086 } else 00087 l = w = 0; 00088 } 00089 00090 void IsMissingVariable::fprop() 00091 { 00092 if (parallel) 00093 { 00094 if(!set_parallel_missing_output) 00095 for(int i=0; i<nelems(); i++) 00096 valuedata[i] = finite(input->valuedata[i]); 00097 else 00098 for(int i=0; i<nelems(); i++) 00099 { 00100 if(!finite(input->valuedata[i])) 00101 valuedata[i] = parallel_missing_outputs[i]; 00102 else 00103 valuedata[i] = input->valuedata[i]; 00104 } 00105 } 00106 else 00107 { 00108 bool nomissing=true; 00109 for(int i=0; i<nelems(); i++) 00110 nomissing = nomissing && finite(input->valuedata[i]); 00111 valuedata[0] = !nomissing; 00112 } 00113 } 00114 00115 00116 // not really differentiable (zero gradient almost everywhere) 00117 void IsMissingVariable::bprop() {} 00118 00119 void IsMissingVariable::symbolicBprop() {} 00120 00121 void IsMissingVariable::makeDeepCopyFromShallowCopy(CopiesMap& copies) 00122 { 00123 inherited::makeDeepCopyFromShallowCopy(copies); 00124 00125 deepCopyField(parallel_missing_outputs, copies); 00126 //PLERROR("IsMissingVariable::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!"); 00127 } 00128 00129 00130 } // end of namespace PLearn 00131 00132 00133 /* 00134 Local Variables: 00135 mode:c++ 00136 c-basic-offset:4 00137 c-file-style:"stroustrup" 00138 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00139 indent-tabs-mode:nil 00140 fill-column:79 00141 End: 00142 */ 00143 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :