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00011 #include "classifier/LinearClassifier.h"
00012 #include "base/Parameter.h"
00013
00014 using namespace shogun;
00015
00016 CLinearClassifier::CLinearClassifier()
00017 : CClassifier(), w_dim(0), w(NULL), bias(0), features(NULL)
00018 {
00019
00020 m_parameters->add_vector(&w, &w_dim, "w", "Parameter vector w.");
00021 m_parameters->add(&bias, "bias", "Bias b.");
00022 m_parameters->add((CSGObject**) &features, "features", "Feature object.");
00023
00024 }
00025
00026 CLinearClassifier::~CLinearClassifier()
00027 {
00028 delete[] w;
00029 SG_UNREF(features);
00030 }
00031
00032 bool CLinearClassifier::load(FILE* srcfile)
00033 {
00034 SG_SET_LOCALE_C;
00035 SG_RESET_LOCALE;
00036 return false;
00037 }
00038
00039 bool CLinearClassifier::save(FILE* dstfile)
00040 {
00041 SG_SET_LOCALE_C;
00042 SG_RESET_LOCALE;
00043 return false;
00044 }
00045
00046 CLabels* CLinearClassifier::classify()
00047 {
00048 if (features)
00049 {
00050 int32_t num=features->get_num_vectors();
00051 ASSERT(num>0);
00052 ASSERT(w_dim==features->get_dim_feature_space());
00053
00054 float64_t* out=new float64_t[num];
00055 features->dense_dot_range(out, 0, num, NULL, w, w_dim, bias);
00056
00057 CLabels* output=new CLabels(num);
00058 output->set_labels(out, num);
00059
00060 delete[] out;
00061
00062 return output;
00063 }
00064
00065 return NULL;
00066 }
00067
00068 CLabels* CLinearClassifier::classify(CFeatures* data)
00069 {
00070 if (!data)
00071 SG_ERROR("No features specified\n");
00072 if (!data->has_property(FP_DOT))
00073 SG_ERROR("Specified features are not of type CDotFeatures\n");
00074 set_features((CDotFeatures*) data);
00075 return classify();
00076 }