SHOGUN  5.0.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules
Classes | Macros | Enumerations
Machine.h File Reference

Go to the source code of this file.

Classes

class  CMachine
 A generic learning machine interface. More...
 

Macros

#define MACHINE_PROBLEM_TYPE(PT)
 

Enumerations

enum  EMachineType {
  CT_NONE = 0, CT_LIGHT = 10, CT_LIGHTONECLASS = 11, CT_LIBSVM = 20,
  CT_LIBSVMONECLASS =30, CT_LIBSVMMULTICLASS =40, CT_MPD = 50, CT_GPBT = 60,
  CT_CPLEXSVM = 70, CT_PERCEPTRON = 80, CT_KERNELPERCEPTRON = 90, CT_LDA = 100,
  CT_LPM = 110, CT_LPBOOST = 120, CT_KNN = 130, CT_SVMLIN =140,
  CT_KERNELRIDGEREGRESSION = 150, CT_GNPPSVM = 160, CT_GMNPSVM = 170, CT_SVMPERF = 200,
  CT_LIBSVR = 210, CT_SVRLIGHT = 220, CT_LIBLINEAR = 230, CT_KMEANS = 240,
  CT_HIERARCHICAL = 250, CT_SVMOCAS = 260, CT_WDSVMOCAS = 270, CT_SVMSGD = 280,
  CT_MKLMULTICLASS = 290, CT_MKLCLASSIFICATION = 300, CT_MKLONECLASS = 310, CT_MKLREGRESSION = 320,
  CT_SCATTERSVM = 330, CT_DASVM = 340, CT_LARANK = 350, CT_DASVMLINEAR = 360,
  CT_GAUSSIANNAIVEBAYES = 370, CT_AVERAGEDPERCEPTRON = 380, CT_SGDQN = 390, CT_CONJUGATEINDEX = 400,
  CT_LINEARRIDGEREGRESSION = 410, CT_LEASTSQUARESREGRESSION = 420, CT_QDA = 430, CT_NEWTONSVM = 440,
  CT_GAUSSIANPROCESSREGRESSION = 450, CT_LARS = 460, CT_MULTICLASS = 470, CT_DIRECTORLINEAR = 480,
  CT_DIRECTORKERNEL = 490, CT_LIBQPSOSVM = 500, CT_PRIMALMOSEKSOSVM = 510, CT_CCSOSVM = 520,
  CT_GAUSSIANPROCESSBINARY = 530, CT_GAUSSIANPROCESSMULTICLASS = 540, CT_STOCHASTICSOSVM = 550, CT_NEURALNETWORK = 560,
  CT_BAGGING = 570, CT_FWSOSVM = 580, CT_BCFWSOSVM = 590, CT_GAUSSIANPROCESSCLASS
}
 
enum  ESolverType {
  ST_AUTO =0, ST_CPLEX =1, ST_GLPK =2, ST_NEWTON =3,
  ST_DIRECT =4, ST_ELASTICNET =5, ST_BLOCK_NORM =6
}
 
enum  EProblemType {
  PT_BINARY = 0, PT_REGRESSION = 1, PT_MULTICLASS = 2, PT_STRUCTURED = 3,
  PT_LATENT = 4, PT_CLASS = 5
}
 

Macro Definition Documentation

#define MACHINE_PROBLEM_TYPE (   PT)
Value:
\
virtual EProblemType get_machine_problem_type() const { return PT; }
EProblemType
Definition: Machine.h:110

Definition at line 120 of file Machine.h.


SHOGUN Machine Learning Toolbox - Documentation