vl_svmtrain MEX definition More...

#include <mexutils.h>
#include <vl/svm.h>
#include <vl/mathop.h>
#include <vl/homkermap.h>
#include <vl/stringop.h>
#include <assert.h>
#include <string.h>

Include dependency graph for vl_svmtrain.c:

Go to the source code of this file.

Classes
struct	DiagnsoticOpts_
Defines
#define	GET_NN_SCALAR(NAME, variable)
#define	GET_SCALAR(NAME, variable)
Typedefs
typedef struct DiagnsoticOpts_	DiagnosticOpts
Enumerations
enum	{ opt_epsilon, opt_max_num_iterations, opt_bias_multiplier, opt_diagnostic_function, opt_diagnostic_frequency, opt_validation_subset, opt_loss, opt_model, opt_bias, opt_weights, opt_verbose, opt_solver, opt_starting_iteration, opt_bias_learning_rate }
Functions
mxArray *	createScalarStructArray (void const **fields)
void	diagnostic (VlSvm svm, DiagnosticOpts opts)
mxArray *	makeInfoStruct (VlSvm *svm)
void	mexFunction (int nout, mxArray out[], int nin, const mxArray in[])
VlSvmDataset *	parseDataset (const mxArray *dataset_array)
Variables
vlmxOption	options []

Detailed Description

vl_svmtrain MEX definition

Author:: Daniele Perrone; Milan Sulc; Andrea Vedaldi

Definition in file vl_svmtrain.c.

Define Documentation

#define GET_NN_SCALAR	(	NAME,
		variable
	)

Value:

GET_SCALAR(NAME, variable) \
if (variable < 0) { \
vlmxError(vlmxErrInvalidArgument, VL_STRINGIFY(NAME) " is negative.") ; \
}

#define GET_SCALAR	(	NAME,
		variable
	)

Value:

if (!vlmxIsPlainScalar(optarg)) { \
vlmxError(vlmxErrInvalidArgument, VL_STRINGIFY(NAME) " is not a plain scalar.") ; \
} \
variable = (double) *mxGetPr(optarg);

Typedef Documentation

typedef struct DiagnsoticOpts_ DiagnosticOpts

Enumeration Type Documentation

anonymous enum

Enumerator:

opt_epsilon
opt_max_num_iterations
opt_bias_multiplier
opt_diagnostic_function
opt_diagnostic_frequency
opt_validation_subset
opt_loss
opt_model
opt_bias
opt_weights
opt_verbose
opt_solver
opt_starting_iteration
opt_bias_learning_rate

Definition at line 27 of file vl_svmtrain.c.

Function Documentation

mxArray* createScalarStructArray ( void const ** fields )

Definition at line 75 of file vl_svmtrain.c.

void diagnostic	(	VlSvm *	svm,
		DiagnosticOpts *	opts
	)

Definition at line 318 of file vl_svmtrain.c.

mxArray* makeInfoStruct ( VlSvm * svm )

Definition at line 237 of file vl_svmtrain.c.

void mexFunction	(	int nout	,
		mxArray *	out[],
		int	nin,
		const mxArray *	in[]
	)

Definition at line 362 of file vl_svmtrain.c.

VlSvmDataset* parseDataset ( const mxArray * dataset_array )

Definition at line 106 of file vl_svmtrain.c.

Variable Documentation

vlmxOption options[]

Initial value:

 {
  {"Epsilon",             1,   opt_epsilon             },
  {"MaxNumIterations",    1,   opt_max_num_iterations  },
  {"BiasMultiplier",      1,   opt_bias_multiplier     },
  {"DiagnosticFunction",  1,   opt_diagnostic_function },
  {"DiagnosticFrequency", 1,   opt_diagnostic_frequency},
  {"ValidationSubset",    1,   opt_validation_subset   },
  {"Loss",                1,   opt_loss                },
  {"Verbose",             0,   opt_verbose             },
  {"Solver",              1,   opt_solver              },
  {"Model",               1,   opt_model               },
  {"Bias",                1,   opt_bias                },
  {"Weights",             1,   opt_weights             },

  
  {"StartingIteration",   1,   opt_starting_iteration  },
  {"BiasLearningRate",    1,   opt_bias_learning_rate  },

  
  {0,                     0,   0                       }
}

Definition at line 53 of file vl_svmtrain.c.

Classes

Defines

Typedefs

Enumerations