SHOGUN
v1.1.0
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class to implement LibLinear
Definition at line 47 of file LibLinear.h.
Protected Member Functions | |
virtual bool | train_machine (CFeatures *data=NULL) |
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virtual void | store_model_features () |
Protected Attributes | |
float64_t | C1 |
float64_t | C2 |
bool | use_bias |
float64_t | epsilon |
int32_t | max_iterations |
SGVector< float64_t > | m_linear_term |
LIBLINEAR_SOLVER_TYPE | liblinear_solver_type |
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int32_t | w_dim |
float64_t * | w |
float64_t | bias |
CDotFeatures * | features |
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float64_t | max_train_time |
CLabels * | labels |
ESolverType | solver_type |
bool | m_store_model_features |
Additional Inherited Members | |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
CLibLinear | ( | ) |
default constructor
Definition at line 25 of file LibLinear.cpp.
CLibLinear | ( | LIBLINEAR_SOLVER_TYPE | liblinear_solver_type | ) |
constructor
liblinear_solver_type | liblinear_solver_type |
Definition at line 31 of file LibLinear.cpp.
CLibLinear | ( | float64_t | C, |
CDotFeatures * | traindat, | ||
CLabels * | trainlab | ||
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constructor (using L2R_L1LOSS_SVC_DUAL as default)
C | constant C |
traindat | training features |
trainlab | training labels |
Definition at line 38 of file LibLinear.cpp.
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destructor
Definition at line 73 of file LibLinear.cpp.
bool get_bias_enabled | ( | ) |
float64_t get_C1 | ( | ) |
float64_t get_C2 | ( | ) |
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virtual |
get classifier type
Reimplemented from CMachine.
Reimplemented in CDomainAdaptationSVMLinear.
Definition at line 86 of file LibLinear.h.
float64_t get_epsilon | ( | ) |
LIBLINEAR_SOLVER_TYPE get_liblinear_solver_type | ( | ) |
Definition at line 72 of file LibLinear.h.
get the linear term for qp
Definition at line 1148 of file LibLinear.cpp.
int32_t get_max_iterations | ( | ) |
get the maximum number of iterations liblinear is allowed to do
Definition at line 135 of file LibLinear.h.
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virtual |
Reimplemented from CLinearMachine.
Reimplemented in CDomainAdaptationSVMLinear.
Definition at line 132 of file LibLinear.h.
void init_linear_term | ( | ) |
set the linear term for qp
Definition at line 1156 of file LibLinear.cpp.
void set_bias_enabled | ( | bool | enable_bias | ) |
set if bias shall be enabled
enable_bias | if bias shall be enabled |
Definition at line 123 of file LibLinear.h.
void set_epsilon | ( | float64_t | eps | ) |
void set_liblinear_solver_type | ( | LIBLINEAR_SOLVER_TYPE | st | ) |
Definition at line 77 of file LibLinear.h.
set the linear term for qp
Definition at line 147 of file LibLinear.h.
void set_max_iterations | ( | int32_t | max_iter = 1000 | ) |
set the maximum number of iterations liblinear is allowed to do
Definition at line 141 of file LibLinear.h.
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train linear SVM classifier
data | training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data) |
Reimplemented from CMachine.
Definition at line 78 of file LibLinear.cpp.
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C1
Definition at line 198 of file LibLinear.h.
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C2
Definition at line 200 of file LibLinear.h.
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epsilon
Definition at line 204 of file LibLinear.h.
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solver type
Definition at line 212 of file LibLinear.h.
precomputed linear term
Definition at line 209 of file LibLinear.h.
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maximum number of iterations
Definition at line 206 of file LibLinear.h.
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if bias shall be used
Definition at line 202 of file LibLinear.h.