PLearn 0.1
SumVarianceOfLinearTransformedBernoullis.h
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00001 // -*- C++ -*-
00002 
00003 // SumVarianceOfLinearTransformedBernoullis.h
00004 //
00005 // Copyright (C) 2009 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 SumVarianceOfLinearTransformedBernoullis_INC
00041 #define SumVarianceOfLinearTransformedBernoullis_INC
00042 
00043 #include <plearn/var/BinaryVariable.h>
00044 
00045 namespace PLearn {
00046 using namespace std;
00047 
00060 class SumVarianceOfLinearTransformedBernoullis : public BinaryVariable
00061 {
00062     typedef BinaryVariable inherited;
00063 
00064 public:
00065     //#####  Public Build Options  ############################################
00066 
00069 
00070 public:
00071     //#####  Public Member Functions  #########################################
00072 
00074     SumVarianceOfLinearTransformedBernoullis();
00075 
00077     // ### Make sure the implementation in the .cc calls inherited constructor
00078     // ### and initializes all fields with reasonable default values.
00079     SumVarianceOfLinearTransformedBernoullis(Variable* input1, Variable* input2, bool call_build_ = true);
00080 
00081     // ### If your class has parameters, you probably want a constructor that
00082     // ### initializes them
00083     // SumVarianceOfLinearTransformedBernoullis(Variable* input1, Variable* input2,
00084     //              param_type the_parameter, ..., bool call_build_ = true);
00085 
00086     // Your other public member functions go here
00087 
00088     //#####  PLearn::Variable methods #########################################
00089     // (PLEASE IMPLEMENT IN .cc)
00090     virtual void recomputeSize(int& l, int& w) const;
00091     virtual void fprop();
00092     virtual void bprop();
00093 
00094     // ### These ones are not always implemented
00095     // virtual void bbprop();
00096     // virtual void symbolicBprop();
00097     // virtual void rfprop();
00098 
00099     //#####  PLearn::Object Protocol  #########################################
00100 
00101     // Declares other standard object methods.
00102     // ### If your class is not instantiatable (it has pure virtual methods)
00103     // ### you should replace this by PLEARN_DECLARE_ABSTRACT_OBJECT
00104     PLEARN_DECLARE_OBJECT(SumVarianceOfLinearTransformedBernoullis);
00105 
00106     // Simply calls inherited::build() then build_()
00107     virtual void build();
00108 
00110     // (PLEASE IMPLEMENT IN .cc)
00111     virtual void makeDeepCopyFromShallowCopy(CopiesMap& copies);
00112 
00113 protected:
00114     //#####  Protected Options  ###############################################
00115 
00116     // ### Declare protected option fields (such as learned parameters) here
00117     // ...
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     void computeWsqnorm();
00133 
00134 private:
00135     //#####  Private Data Members  ############################################
00136 
00137     // temporary variables used in fprop and bprop
00138     Vec Wsqnorm;
00139     Vec Wsqnormgrad;
00140 
00141 };
00142 
00143 // Declares a few other classes and functions related to this class
00144 DECLARE_OBJECT_PTR(SumVarianceOfLinearTransformedBernoullis);
00145 
00146 // ### Put here a convenient method for building your variable from two
00147 // ### existing ones.
00148 // ### e.g., if your class is TotoVariable, with two parameters foo_type foo
00149 // ### and bar_type bar, you could write:
00150 // inline Var toto(Var v1, Var v2,
00151 //                 foo_type foo=default_foo, bar_type bar=default_bar)
00152 // { return new TotoVariable(v1, v2, foo, bar); }
00153 
00154 } // end of namespace PLearn
00155 
00156 #endif
00157 
00158 
00159 /*
00160   Local Variables:
00161   mode:c++
00162   c-basic-offset:4
00163   c-file-style:"stroustrup"
00164   c-file-offsets:((innamespace . 0)(inline-open . 0))
00165   indent-tabs-mode:nil
00166   fill-column:79
00167   End:
00168 */
00169 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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