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00011 #ifndef _CLASSIFIER_H__
00012 #define _CLASSIFIER_H__
00013
00014 #include "lib/common.h"
00015 #include "base/SGObject.h"
00016 #include "lib/Mathematics.h"
00017 #include "features/Labels.h"
00018 #include "features/Features.h"
00019
00020 namespace shogun
00021 {
00022
00023 class CFeatures;
00024 class CLabels;
00025 class CMath;
00026
00027 enum EClassifierType
00028 {
00029 CT_NONE = 0,
00030 CT_LIGHT = 10,
00031 CT_LIGHTONECLASS = 11,
00032 CT_LIBSVM = 20,
00033 CT_LIBSVMONECLASS=30,
00034 CT_LIBSVMMULTICLASS=40,
00035 CT_MPD = 50,
00036 CT_GPBT = 60,
00037 CT_CPLEXSVM = 70,
00038 CT_PERCEPTRON = 80,
00039 CT_KERNELPERCEPTRON = 90,
00040 CT_LDA = 100,
00041 CT_LPM = 110,
00042 CT_LPBOOST = 120,
00043 CT_KNN = 130,
00044 CT_SVMLIN=140,
00045 CT_KRR = 150,
00046 CT_GNPPSVM = 160,
00047 CT_GMNPSVM = 170,
00048 CT_SUBGRADIENTSVM = 180,
00049 CT_SUBGRADIENTLPM = 190,
00050 CT_SVMPERF = 200,
00051 CT_LIBSVR = 210,
00052 CT_SVRLIGHT = 220,
00053 CT_LIBLINEAR = 230,
00054 CT_KMEANS = 240,
00055 CT_HIERARCHICAL = 250,
00056 CT_SVMOCAS = 260,
00057 CT_WDSVMOCAS = 270,
00058 CT_SVMSGD = 280,
00059 CT_MKLMULTICLASS = 290,
00060 CT_MKLCLASSIFICATION = 300,
00061 CT_MKLONECLASS = 310,
00062 CT_MKLREGRESSION = 320,
00063 CT_SCATTERSVM = 330,
00064 CT_DASVM = 340,
00065 CT_LARANK = 350,
00066 CT_DASVMLINEAR = 360
00067 };
00068
00069 enum ESolverType
00070 {
00071 ST_AUTO=0,
00072 ST_CPLEX=1,
00073 ST_GLPK=2,
00074 ST_NEWTON=3,
00075 ST_DIRECT=4,
00076 ST_ELASTICNET=5
00077 };
00078
00090 class CClassifier : public CSGObject
00091 {
00092 public:
00094 CClassifier();
00095 virtual ~CClassifier();
00096
00105 virtual bool train(CFeatures* data=NULL)
00106 {
00107 SG_NOTIMPLEMENTED;
00108 return false;
00109 }
00110
00115 virtual CLabels* classify()=0;
00116
00122 virtual CLabels* classify(CFeatures* data)=0;
00123
00131 virtual float64_t classify_example(int32_t num)
00132 {
00133 SG_NOTIMPLEMENTED;
00134 return CMath::INFTY;
00135 }
00136
00144 virtual bool load(FILE* srcfile) { ASSERT(srcfile); return false; }
00145
00153 virtual bool save(FILE* dstfile) { ASSERT(dstfile); return false; }
00154
00159 virtual inline void set_labels(CLabels* lab)
00160 {
00161 SG_UNREF(labels);
00162 SG_REF(lab);
00163 labels=lab;
00164 }
00165
00170 virtual inline CLabels* get_labels() { SG_REF(labels); return labels; }
00171
00177 virtual inline float64_t get_label(int32_t i)
00178 {
00179 if (!labels)
00180 SG_ERROR("No Labels assigned\n");
00181
00182 return labels->get_label(i);
00183 }
00184
00189 inline void set_max_train_time(float64_t t) { max_train_time=t; }
00190
00195 inline float64_t get_max_train_time() { return max_train_time; }
00196
00201 virtual inline EClassifierType get_classifier_type() { return CT_NONE; }
00202
00207 inline void set_solver_type(ESolverType st) { solver_type=st; }
00208
00213 inline ESolverType get_solver_type() { return solver_type; }
00214
00215 protected:
00217 float64_t max_train_time;
00218
00220 CLabels* labels;
00221
00223 ESolverType solver_type;
00224 };
00225 }
00226 #endif // _CLASSIFIER_H__