, including all inherited members.
addingweightsstep(const std::vector< float64_t > &curweights) | CMKLMultiClass | [protected] |
apply() | CMultiClassSVM | [virtual] |
apply(CFeatures *data) | CMultiClassSVM | [virtual] |
apply(int32_t num) | CMultiClassSVM | [virtual] |
apply_helper(void *p) | CKernelMachine | [static] |
C1 | CSVM | [protected] |
C2 | CSVM | [protected] |
callback | CSVM | [protected] |
CKernelMachine() | CKernelMachine | |
classify_example_one_vs_one(int32_t num) | CMultiClassSVM | |
classify_example_one_vs_rest(int32_t num) | CMultiClassSVM | [virtual] |
classify_one_vs_one() | CMultiClassSVM | |
classify_one_vs_rest() | CMultiClassSVM | [virtual] |
cleanup() | CMultiClassSVM | |
CMachine() | CMachine | |
CMKLMultiClass() | CMKLMultiClass | |
CMKLMultiClass(float64_t C, CKernel *k, CLabels *lab) | CMKLMultiClass | |
CMKLMultiClass(const CMKLMultiClass &cm) | CMKLMultiClass | [protected] |
CMultiClassSVM() | CMultiClassSVM | |
CMultiClassSVM(EMultiClassSVM type) | CMultiClassSVM | |
CMultiClassSVM(EMultiClassSVM type, float64_t C, CKernel *k, CLabels *lab) | CMultiClassSVM | |
compute_svm_dual_objective() | CSVM | |
compute_svm_primal_objective() | CSVM | |
create_multiclass_svm(int32_t num_classes) | CMultiClassSVM | |
create_new_model(int32_t num) | CKernelMachine | |
CSGObject() | CSGObject | |
CSGObject(const CSGObject &orig) | CSGObject | |
CSVM(int32_t num_sv=0) | CSVM | |
CSVM(float64_t C, CKernel *k, CLabels *lab) | CSVM | |
epsilon | CSVM | [protected] |
evaluatefinishcriterion(const int32_t numberofsilpiterations) | CMKLMultiClass | [protected, virtual] |
get_alpha(int32_t idx) | CKernelMachine | |
get_alphas() | CKernelMachine | |
get_batch_computation_enabled() | CKernelMachine | |
get_bias() | CKernelMachine | |
get_bias_enabled() | CKernelMachine | |
get_C1() | CSVM | |
get_C2() | CSVM | |
get_classifier_type() | CMKLMultiClass | [virtual] |
get_epsilon() | CSVM | |
get_global_io() | CSGObject | |
get_global_parallel() | CSGObject | |
get_global_version() | CSGObject | |
get_kernel() | CKernelMachine | |
get_label(int32_t i) | CMachine | [virtual] |
get_labels() | CMachine | [virtual] |
get_linadd_enabled() | CKernelMachine | |
get_linear_term() | CSVM | [virtual] |
get_linear_term_array() | CSVM | [protected, virtual] |
get_max_train_time() | CMachine | |
get_modelsel_names() | CSGObject | |
get_modsel_param_descr(const char *param_name) | CSGObject | |
get_modsel_param_index(const char *param_name) | CSGObject | |
get_multiclass_type() | CMultiClassSVM | |
get_name() const | CSVM | [virtual] |
get_nu() | CSVM | |
get_num_support_vectors() | CKernelMachine | |
get_num_svms() | CMultiClassSVM | |
get_objective() | CSVM | |
get_qpsize() | CSVM | |
get_shrinking_enabled() | CSVM | |
get_solver_type() | CMachine | |
get_support_vector(int32_t idx) | CKernelMachine | |
get_support_vectors() | CKernelMachine | |
get_svm(int32_t num) | CMultiClassSVM | |
get_tube_epsilon() | CSVM | |
getsquarenormofprimalcoefficients(const int32_t ind) | CMKLMultiClass | [protected] |
getsubkernelweights(int32_t &numweights) | CMKLMultiClass | |
getsumofsignfreealphas() | CMKLMultiClass | [protected] |
init_kernel_optimization() | CKernelMachine | |
initlpsolver() | CMKLMultiClass | [protected] |
initsvm() | CMKLMultiClass | [protected] |
io | CSGObject | |
is_generic(EPrimitiveType *generic) const | CSGObject | [virtual] |
kernel | CKernelMachine | [protected] |
labels | CMachine | [protected] |
load(FILE *svm_file) | CMultiClassSVM | [virtual] |
load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
load_serializable_post() | CSGObject | [protected, virtual] |
load_serializable_pre() | CSGObject | [protected, virtual] |
lpw | CMKLMultiClass | [protected] |
m_alpha | CKernelMachine | [protected] |
m_bias | CKernelMachine | [protected] |
m_linear_term | CSVM | [protected] |
m_model_selection_parameters | CSGObject | |
m_num_classes | CMultiClassSVM | [protected] |
m_num_svms | CMultiClassSVM | [protected] |
m_parameters | CSGObject | |
m_store_model_features | CMachine | [protected] |
m_svms | CMultiClassSVM | [protected] |
m_svs | CKernelMachine | [protected] |
max_num_mkl_iters | CMKLMultiClass | [protected] |
max_train_time | CMachine | [protected] |
mkl | CSVM | [protected] |
mkl_eps | CMKLMultiClass | [protected] |
multiclass_type | CMultiClassSVM | [protected] |
normweightssquared | CMKLMultiClass | [protected] |
nu | CSVM | [protected] |
objective | CSVM | [protected] |
operator=(const CMKLMultiClass &cm) | CMKLMultiClass | [protected] |
parallel | CSGObject | |
pnorm | CMKLMultiClass | [protected] |
print_serializable(const char *prefix="") | CSGObject | [virtual] |
qpsize | CSVM | [protected] |
save(FILE *svm_file) | CMultiClassSVM | [virtual] |
save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
save_serializable_post() | CSGObject | [protected, virtual] |
save_serializable_pre() | CSGObject | [protected, virtual] |
set_alpha(int32_t idx, float64_t val) | CKernelMachine | |
set_alphas(SGVector< float64_t > alphas) | CKernelMachine | |
set_batch_computation_enabled(bool enable) | CKernelMachine | |
set_bias(float64_t bias) | CKernelMachine | |
set_bias_enabled(bool enable_bias) | CKernelMachine | |
set_C(float64_t c_neg, float64_t c_pos) | CSVM | |
set_callback_function(CMKL *m, bool(*cb)(CMKL *mkl, const float64_t *sumw, const float64_t suma)) | CSVM | |
set_defaults(int32_t num_sv=0) | CSVM | |
set_epsilon(float64_t eps) | CSVM | |
set_generic() | CSGObject | |
set_global_io(SGIO *io) | CSGObject | |
set_global_parallel(Parallel *parallel) | CSGObject | |
set_global_version(Version *version) | CSGObject | |
set_kernel(CKernel *k) | CKernelMachine | |
set_labels(CLabels *lab) | CMachine | [virtual] |
set_linadd_enabled(bool enable) | CKernelMachine | |
set_linear_term(SGVector< float64_t > linear_term) | CSVM | [virtual] |
set_max_num_mkliters(int32_t maxnum) | CMKLMultiClass | |
set_max_train_time(float64_t t) | CMachine | |
set_mkl_epsilon(float64_t eps) | CMKLMultiClass | |
set_mkl_norm(float64_t norm) | CMKLMultiClass | [virtual] |
set_nu(float64_t nue) | CSVM | |
set_objective(float64_t v) | CSVM | |
set_qpsize(int32_t qps) | CSVM | |
set_shrinking_enabled(bool enable) | CSVM | |
set_solver_type(ESolverType st) | CMachine | |
set_store_model_features(bool store_model) | CMachine | [virtual] |
set_support_vector(int32_t idx, int32_t val) | CKernelMachine | |
set_support_vectors(SGVector< int32_t > svs) | CKernelMachine | |
set_svm(int32_t num, CSVM *svm) | CMultiClassSVM | |
set_tube_epsilon(float64_t eps) | CSVM | |
solver_type | CMachine | [protected] |
store_model_features() | CKernelMachine | [protected, virtual] |
svm | CMKLMultiClass | [protected] |
svm_loaded | CSVM | [protected] |
train(CFeatures *data=NULL) | CMachine | [virtual] |
train_machine(CFeatures *data=NULL) | CMKLMultiClass | [protected, virtual] |
tube_epsilon | CSVM | [protected] |
unset_generic() | CSGObject | |
use_batch_computation | CKernelMachine | [protected] |
use_bias | CKernelMachine | [protected] |
use_linadd | CKernelMachine | [protected] |
use_shrinking | CSVM | [protected] |
version | CSGObject | |
weightshistory | CMKLMultiClass | [protected] |
~CKernelMachine() | CKernelMachine | [virtual] |
~CMachine() | CMachine | [virtual] |
~CMKLMultiClass() | CMKLMultiClass | [virtual] |
~CMultiClassSVM() | CMultiClassSVM | [virtual] |
~CSGObject() | CSGObject | [virtual] |
~CSVM() | CSVM | [virtual] |