Machine.cpp

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00001 /*
00002  * This program is free software; you can redistribute it and/or modify
00003  * it under the terms of the GNU General Public License as published by
00004  * the Free Software Foundation; either version 3 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Written (W) 1999-2009 Soeren Sonnenburg
00008  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
00009  */
00010 
00011 #include <shogun/machine/Machine.h>
00012 #include <shogun/base/Parameter.h>
00013 #include <shogun/mathematics/Math.h>
00014 
00015 using namespace shogun;
00016 
00017 CMachine::CMachine() : CSGObject(), max_train_time(0), labels(NULL),
00018     solver_type(ST_AUTO)
00019 {
00020     m_parameters->add(&max_train_time, "max_train_time",
00021                       "Maximum training time.");
00022     m_parameters->add((machine_int_t*) &solver_type, "solver_type");
00023     m_parameters->add((CSGObject**) &labels, "labels");
00024     m_parameters->add(&m_store_model_features, "store_model_features",
00025             "Should feature data of model be stored after training?");
00026 
00027     m_store_model_features=false;
00028 }
00029 
00030 CMachine::~CMachine()
00031 {
00032     SG_UNREF(labels);
00033 }
00034 
00035 bool CMachine::train(CFeatures* data)
00036 {
00037     bool result = train_machine(data);
00038 
00039     if (m_store_model_features)
00040         store_model_features();
00041 
00042     return result;
00043 }
00044 
00045 float64_t CMachine::apply(int32_t num)
00046 {
00047     SG_NOTIMPLEMENTED;
00048     return CMath::INFTY;
00049 }
00050 
00051 bool CMachine::load(FILE* srcfile)
00052 {
00053     ASSERT(srcfile);
00054     return false;
00055 }
00056 
00057 bool CMachine::save(FILE* dstfile)
00058 {
00059     ASSERT(dstfile);
00060     return false;
00061 }
00062 
00063 void CMachine::set_labels(CLabels* lab)
00064 {
00065     SG_UNREF(labels);
00066     SG_REF(lab);
00067     labels = lab;
00068 }
00069 
00070 CLabels* CMachine::get_labels()
00071 {
00072     SG_REF(labels);
00073     return labels;
00074 }
00075 
00076 float64_t CMachine::get_label(int32_t i)
00077 {
00078     if (!labels)
00079         SG_ERROR("No Labels assigned\n");
00080     
00081     return labels->get_label(i);
00082 }
00083 
00084 void CMachine::set_max_train_time(float64_t t)
00085 {
00086     max_train_time = t;
00087 }
00088 
00089 float64_t CMachine::get_max_train_time()
00090 {
00091     return max_train_time;
00092 }
00093 
00094 EClassifierType CMachine::get_classifier_type()
00095 {
00096     return CT_NONE;
00097 }
00098 
00099 void CMachine::set_solver_type(ESolverType st)
00100 {
00101     solver_type = st;
00102 }
00103 
00104 ESolverType CMachine::get_solver_type()
00105 {
00106     return solver_type;
00107 }
00108 
00109 void CMachine::set_store_model_features(bool store_model)
00110 {
00111     m_store_model_features = store_model;
00112 }
00113 
00114 
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SHOGUN Machine Learning Toolbox - Documentation