PLearn 0.1
|
00001 // -*- C++ -*- 00002 00003 // AdditiveGaussianNoiseVariable.h 00004 // 00005 // Copyright (C) 2010 Pascal Vincent 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 Vincent 00036 00040 #ifndef AdditiveGaussianNoiseVariable_INC 00041 #define AdditiveGaussianNoiseVariable_INC 00042 00043 #include <plearn/var/UnaryVariable.h> 00044 #include <plearn/math/PRandom.h> 00045 00046 namespace PLearn { 00047 using namespace std; 00048 00061 class AdditiveGaussianNoiseVariable : public UnaryVariable 00062 { 00063 typedef UnaryVariable inherited; 00064 00065 public: 00066 //##### Public Build Options ############################################ 00067 00070 PP<PRandom> random_gen; 00071 real sigma; 00072 00073 public: 00074 //##### Public Member Functions ######################################### 00075 00077 AdditiveGaussianNoiseVariable(); 00078 00079 // ### If your class has parameters, you probably want a constructor that 00080 // ### initializes them 00081 // AdditiveGaussianNoiseVariable(Variable* input, param_type the_parameter, ...); 00082 00083 // Your other public member functions go here 00084 00085 //##### PLearn::Variable methods ######################################### 00086 // (PLEASE IMPLEMENT IN .cc) 00087 virtual void recomputeSize(int& l, int& w) const; 00088 virtual void fprop(); 00089 virtual void bprop(); 00090 00091 // ### These ones are not always implemented 00092 // virtual void bbprop(); 00093 // virtual void symbolicBprop(); 00094 // virtual void rfprop(); 00095 00096 //##### PLearn::Object Protocol ######################################### 00097 00098 // Declares other standard object methods. 00099 // ### If your class is not instantiatable (it has pure virtual methods) 00100 // ### you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT 00101 PLEARN_DECLARE_OBJECT(AdditiveGaussianNoiseVariable); 00102 00103 // Simply calls inherited::build() then build_() 00104 virtual void build(); 00105 00107 // (PLEASE IMPLEMENT IN .cc) 00108 virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies); 00109 00110 protected: 00111 //##### Protected Options ############################################### 00112 00113 // ### Declare protected option fields (such as learned parameters) here 00114 // ... 00115 00116 // will contain true where features have been corrupted 00117 TVec<bool> corrupted; 00118 00119 protected: 00120 //##### Protected Member Functions ###################################### 00121 00123 // (PLEASE IMPLEMENT IN .cc) 00124 static void declareOptions(OptionList& ol); 00125 00126 private: 00127 //##### Private Member Functions ######################################## 00128 00130 // (PLEASE IMPLEMENT IN .cc) 00131 void build_(); 00132 00133 private: 00134 //##### Private Data Members ############################################ 00135 00136 // The rest of the private stuff goes here 00137 }; 00138 00139 // Declares a few other classes and functions related to this class 00140 DECLARE_OBJECT_PTR(AdditiveGaussianNoiseVariable); 00141 00142 // ### Put here a convenient method for building your variable. 00143 // ### e.g., if your class is TotoVariable, with two parameters foo_type foo 00144 // ### and bar_type bar, you could write: 00145 // inline Var toto(Var v, foo_type foo=default_foo, bar_type bar=default_bar) 00146 // { return new TotoVariable(v, foo, bar); } 00147 00148 } // end of namespace PLearn 00149 00150 #endif 00151 00152 00153 /* 00154 Local Variables: 00155 mode:c++ 00156 c-basic-offset:4 00157 c-file-style:"stroustrup" 00158 c-file-offsets:((innamespace . 0)(inline-open . 0)) 00159 indent-tabs-mode:nil 00160 fill-column:79 00161 End: 00162 */ 00163 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :