, including all inherited members.
beta_local | CMKL | [protected] |
C1 | CSVM | [protected] |
C2 | CSVM | [protected] |
C_mkl | CMKL | [protected] |
callback | CSVM | [protected] |
CClassifier() | CClassifier | |
check_lpx_status(LPX *lp) | CMKL | [protected] |
CKernelMachine() | CKernelMachine | |
classify() | CKernelMachine | [virtual] |
classify(CFeatures *data) | CKernelMachine | [virtual] |
classify_example(int32_t num) | CKernelMachine | [virtual] |
classify_example_helper(void *p) | CKernelMachine | [static] |
cleanup_cplex() | CMKL | [protected] |
cleanup_glpk() | CMKL | [protected] |
CMKL(CSVM *s=NULL) | CMKL | |
CMKLRegression(CSVM *s=NULL) | CMKLRegression | |
compute_elasticnet_dual_objective() | CMKL | |
compute_mkl_dual_objective() | CMKLRegression | [protected, virtual] |
compute_mkl_primal_objective() | CMKL | |
compute_optimal_betas_directly(float64_t *beta, const float64_t *old_beta, const int32_t num_kernels, const float64_t *sumw, const float64_t suma, const float64_t mkl_objective) | CMKL | [protected] |
compute_optimal_betas_elasticnet(float64_t *beta, const float64_t *old_beta, const int32_t num_kernels, const float64_t *sumw, const float64_t suma, const float64_t mkl_objective) | CMKL | [protected] |
compute_optimal_betas_newton(float64_t *beta, const float64_t *old_beta, int32_t num_kernels, const float64_t *sumw, float64_t suma, float64_t mkl_objective) | CMKL | [protected] |
compute_optimal_betas_via_cplex(float64_t *beta, const float64_t *old_beta, int32_t num_kernels, const float64_t *sumw, float64_t suma, int32_t &inner_iters) | CMKL | [protected] |
compute_optimal_betas_via_glpk(float64_t *beta, const float64_t *old_beta, int num_kernels, const float64_t *sumw, float64_t suma, int32_t &inner_iters) | CMKL | [protected] |
compute_sum_alpha() | CMKLRegression | [virtual] |
compute_sum_beta(float64_t *sumw) | CMKL | [virtual] |
compute_svm_dual_objective() | CSVM | |
compute_svm_primal_objective() | CSVM | |
converged() | CMKL | [protected, virtual] |
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 | |
elasticnet_dual(float64_t *ff, float64_t *gg, float64_t *hh, const float64_t &del, const float64_t *nm, int32_t len, const float64_t &lambda) | CMKL | [protected] |
elasticnet_transform(float64_t *beta, float64_t lmd, int32_t len) | CMKL | [protected] |
ent_lambda | CMKL | [protected] |
env | CMKL | [protected] |
epsilon | CSVM | [protected] |
get_alpha(int32_t idx) | CKernelMachine | |
get_alphas(float64_t **alphas, int32_t *d1) | CKernelMachine | |
get_batch_computation_enabled() | CKernelMachine | |
get_bias() | CKernelMachine | |
get_bias_enabled() | CKernelMachine | |
get_C1() | CSVM | |
get_C2() | CSVM | |
get_classifier_type() | CMKLRegression | [protected, virtual] |
get_epsilon() | CSVM | |
get_interleaved_optimization_enabled() | CMKL | |
get_io() | CSGObject | |
get_kernel() | CKernelMachine | |
get_label(int32_t i) | CClassifier | [virtual] |
get_labels() | CClassifier | [virtual] |
get_linadd_enabled() | CKernelMachine | |
get_linear_term_array() | CSVM | [protected, virtual] |
get_linear_term_ptr(index_t *len) | CSVM | [virtual] |
get_max_train_time() | CClassifier | |
get_mkl_epsilon() | CMKL | |
get_mkl_iterations() | CMKL | |
get_name() const | CMKL | [protected, virtual] |
get_nu() | CSVM | |
get_num_support_vectors() | CKernelMachine | |
get_objective() | CSVM | |
get_parallel() | CSGObject | |
get_qpsize() | CSVM | |
get_shrinking_enabled() | CSVM | |
get_solver_type() | CClassifier | |
get_support_vector(int32_t idx) | CKernelMachine | |
get_support_vectors(int32_t **svs, int32_t *num) | CKernelMachine | |
get_svm() | CMKL | |
get_tube_epsilon() | CSVM | |
get_version() | CSGObject | |
init_cplex() | CMKL | [protected] |
init_glpk() | CMKL | [protected] |
init_kernel_optimization() | CKernelMachine | |
init_solver() | CMKL | [protected] |
init_training() | CMKLRegression | [protected, virtual] |
interleaved_optimization | CMKL | [protected] |
io | CSGObject | |
is_generic(EPrimitiveType *generic) const | CSGObject | [virtual] |
kernel | CKernelMachine | [protected] |
labels | CClassifier | [protected] |
load(FILE *svm_file) | CSVM | [virtual] |
load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
load_serializable_post() | CSGObject | [protected, virtual] |
load_serializable_pre() | CSGObject | [protected, virtual] |
lp_cplex | CMKL | [protected] |
lp_glpk | CMKL | [protected] |
lp_initialized | CMKL | [protected] |
m_alpha | CKernelMachine | [protected] |
m_bias | CKernelMachine | [protected] |
m_linear_term | CSVM | [protected] |
m_linear_term_len | CSVM | [protected] |
m_parameters | CSGObject | [protected] |
m_svs | CKernelMachine | [protected] |
max_train_time | CClassifier | [protected] |
mkl | CSVM | [protected] |
mkl_epsilon | CMKL | [protected] |
mkl_iterations | CMKL | [protected] |
mkl_norm | CMKL | [protected] |
nu | CSVM | [protected] |
num_svs | CKernelMachine | [protected] |
objective | CSVM | [protected] |
parallel | CSGObject | |
perform_mkl_step(const float64_t *sumw, float64_t suma) | CMKL | [virtual] |
perform_mkl_step(float64_t *beta, float64_t *old_beta, int num_kernels, int32_t *label, int32_t *active2dnum, float64_t *a, float64_t *lin, float64_t *sumw, int32_t &inner_iters) | CMKL | [protected] |
perform_mkl_step_helper(CMKL *mkl, const float64_t *sumw, const float64_t suma) | CMKL | [static] |
print_serializable(const char *prefix="") | CSGObject | [virtual] |
qpsize | CSVM | [protected] |
rho | CMKL | [protected] |
save(FILE *svm_file) | CSVM | [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(float64_t *alphas, int32_t d) | 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_C_mkl(float64_t C) | CMKL | |
set_callback_function(CMKL *m, bool(*cb)(CMKL *mkl, const float64_t *sumw, const float64_t suma)) | CSVM | |
set_constraint_generator(CSVM *s) | CMKL | |
set_defaults(int32_t num_sv=0) | CSVM | |
set_elasticnet_lambda(float64_t lambda) | CMKL | |
set_epsilon(float64_t eps) | CSVM | |
set_generic() | CSGObject | |
set_interleaved_optimization_enabled(bool enable) | CMKL | |
set_io(IO *io) | CSGObject | |
set_kernel(CKernel *k) | CKernelMachine | |
set_labels(CLabels *lab) | CClassifier | [virtual] |
set_linadd_enabled(bool enable) | CKernelMachine | |
set_linear_term(float64_t *linear_term, index_t len) | CSVM | [virtual] |
set_max_train_time(float64_t t) | CClassifier | |
set_mkl_epsilon(float64_t eps) | CMKL | |
set_mkl_norm(float64_t norm) | CMKL | |
set_nu(float64_t nue) | CSVM | |
set_objective(float64_t v) | CSVM | |
set_parallel(Parallel *parallel) | CSGObject | |
set_qnorm_constraints(float64_t *beta, int32_t num_kernels) | CMKL | [protected] |
set_qpsize(int32_t qps) | CSVM | |
set_shrinking_enabled(bool enable) | CSVM | |
set_solver_type(ESolverType st) | CClassifier | |
set_support_vector(int32_t idx, int32_t val) | CKernelMachine | |
set_support_vectors(int32_t *svs, int32_t d) | CKernelMachine | |
set_svm(CSVM *s) | CMKL | |
set_tube_epsilon(float64_t eps) | CSVM | |
set_version(Version *version) | CSGObject | |
solver_type | CClassifier | [protected] |
svm | CMKL | [protected] |
svm_loaded | CSVM | [protected] |
train(CFeatures *data=NULL) | CMKL | [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 | |
W | CMKL | [protected] |
w_gap | CMKL | [protected] |
~CClassifier() | CClassifier | [virtual] |
~CKernelMachine() | CKernelMachine | [virtual] |
~CMKL() | CMKL | [virtual] |
~CMKLRegression() | CMKLRegression | [virtual] |
~CSGObject() | CSGObject | [virtual] |
~CSVM() | CSVM | [virtual] |