00001 // -*- C++ -*- 00002 00003 // PLearnerOutputVMatrix.h 00004 // 00005 // Copyright (C) 2003 Yoshua Bengio 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 /* ******************************************************* 00036 * $Id: PLearnerOutputVMatrix.h,v 1.10 2004/07/21 16:30:55 chrish42 Exp $ 00037 ******************************************************* */ 00038 00039 // Authors: Yoshua Bengio 00040 00044 #ifndef PLearnerOutputVMatrix_INC 00045 #define PLearnerOutputVMatrix_INC 00046 00047 #include "RowBufferedVMatrix.h" 00048 #include "VMat.h" 00049 #include <plearn_learners/generic/PLearner.h> 00050 00051 namespace PLearn { 00052 using namespace std; 00053 00054 class PLearnerOutputVMatrix: public RowBufferedVMatrix 00055 { 00056 typedef RowBufferedVMatrix inherited; 00057 00058 protected: 00059 // ********************* 00060 // * protected options * 00061 // ********************* 00062 00063 // NON-OPTIONs 00064 00065 mutable Vec row; 00066 mutable Vec learner_input; 00067 mutable Mat learners_output; 00068 mutable Vec learner_target; 00069 mutable Vec non_input_part_of_data_row; 00070 mutable bool learners_need_train; 00071 00072 public: 00073 // ************************ 00074 // * public build options * 00075 // ************************ 00076 00077 // ### declare public option fields (such as build options) here 00078 00079 VMat data; // whose input field will be applied to learner in order to obtain new input part of this VMatrix 00080 TVec<PP<PLearner> > learners; // the outputs of the learners will be concatenated 00081 bool put_raw_input; // if true not only the learner output but also the raw data input are in the input part of the VMatrix 00082 bool train_learners; 00083 00084 // **************** 00085 // * Constructors * 00086 // **************** 00087 00088 // Default constructor, make sure the implementation in the .cc 00089 // initializes all fields to reasonable default values. 00090 PLearnerOutputVMatrix(); 00091 PLearnerOutputVMatrix(VMat data_,TVec<PP<PLearner> > learners_, bool put_raw_input_=false); 00092 00093 // ****************** 00094 // * Object methods * 00095 // ****************** 00096 00097 private: 00099 void build_(); 00100 00101 protected: 00103 static void declareOptions(OptionList& ol); 00104 00106 virtual void getNewRow(int i, const Vec& v) const; 00107 00108 public: 00109 // simply calls inherited::build() then build_() 00110 virtual void build(); 00111 00113 virtual void makeDeepCopyFromShallowCopy(map<const void*, void*>& copies); 00114 00116 PLEARN_DECLARE_OBJECT(PLearnerOutputVMatrix); 00117 00118 }; 00119 00120 DECLARE_OBJECT_PTR(PLearnerOutputVMatrix); 00121 00122 } // end of namespace PLearn 00123 #endif