, including all inherited members.
add_to_index(int32_t *index, int32_t elem) | CSVMLight | |
C1 | CSVM | [protected] |
C2 | CSVM | [protected] |
calculate_svm_model(int32_t *docs, int32_t *label, float64_t *lin, float64_t *a, float64_t *a_old, float64_t *c, int32_t *working2dnum, int32_t *active2dnum) | CSVMLight | |
call_mkl_callback(float64_t *a, int32_t *label, float64_t *lin) | CSVMLight | |
callback | CSVM | [protected] |
CClassifier() | CClassifier | |
check_optimality(int32_t *label, float64_t *a, float64_t *lin, float64_t *c, int32_t totdoc, float64_t *maxdiff, float64_t epsilon_crit_org, int32_t *misclassified, int32_t *inconsistent, int32_t *active2dnum, int32_t *last_suboptimal_at, int32_t iteration) | CSVMLight | |
CKernelMachine() | CKernelMachine | |
classify() | CKernelMachine | [virtual] |
classify(CFeatures *data) | CKernelMachine | [virtual] |
classify_example(int32_t num) | CKernelMachine | [virtual] |
classify_example_helper(void *p) | CKernelMachine | [static] |
clear_index(int32_t *index) | CSVMLight | |
compute_index(int32_t *binfeature, int32_t range, int32_t *index) | CSVMLight | |
compute_kernel(int32_t i, int32_t j) | CSVMLight | [protected, virtual] |
compute_kernel_helper(void *p) | CSVMLight | [protected, static] |
compute_matrices_for_optimization(int32_t *docs, int32_t *label, int32_t *exclude_from_eq_const, float64_t eq_target, int32_t *chosen, int32_t *active2dnum, int32_t *key, float64_t *a, float64_t *lin, float64_t *c, int32_t varnum, int32_t totdoc, float64_t *aicache, QP *qp) | CSVMLight | |
compute_matrices_for_optimization_parallel(int32_t *docs, int32_t *label, int32_t *exclude_from_eq_const, float64_t eq_target, int32_t *chosen, int32_t *active2dnum, int32_t *key, float64_t *a, float64_t *lin, float64_t *c, int32_t varnum, int32_t totdoc, float64_t *aicache, QP *qp) | CSVMLight | |
compute_objective_function(float64_t *a, float64_t *lin, float64_t *c, float64_t *eps, int32_t *label, int32_t totdoc) | CSVMLight | [virtual] |
compute_svm_dual_objective() | CSVM | |
compute_svm_primal_objective() | CSVM | |
count | CSVMLight | [protected] |
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 | |
CSVMLight() | CSVMLight | |
CSVMLight(float64_t C, CKernel *k, CLabels *lab) | CSVMLight | |
CSVMLightOneClass() | CSVMLightOneClass | |
CSVMLightOneClass(float64_t C, CKernel *k) | CSVMLightOneClass | |
dual | CSVMLight | [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() | CSVMLightOneClass | [virtual] |
get_epsilon() | CSVM | |
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_name() const | CSVMLight | [protected, virtual] |
get_nu() | CSVM | |
get_num_support_vectors() | CKernelMachine | |
get_objective() | CSVM | |
get_parallel() | CSGObject | |
get_qpsize() | CSVM | |
get_runtime() | CSVMLight | |
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_tube_epsilon() | CSVM | |
get_version() | CSGObject | |
init() | CSVMLight | |
init_iter | CSVMLight | [protected] |
init_kernel_optimization() | CKernelMachine | |
init_margin | CSVMLight | [protected] |
init_shrink_state(SHRINK_STATE *shrink_state, int32_t totdoc, int32_t maxhistory) | CSVMLight | |
io | CSGObject | |
is_generic(EPrimitiveType *generic) const | CSGObject | [virtual] |
kernel | CKernelMachine | [protected] |
labels | CClassifier | [protected] |
learn_parm | CSVMLight | [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] |
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_converged | CSVMLight | [protected] |
model | CSVMLight | [protected] |
model_b | CSVMLight | [protected] |
mymaxdiff | CSVMLight | [protected] |
nu | CSVM | [protected] |
num_svs | CKernelMachine | [protected] |
objective | CSVM | [protected] |
opt_precision | CSVMLight | [protected] |
optimize_qp(QP *qp, float64_t *epsilon_crit, int32_t nx, float64_t *threshold, int32_t &svm_maxqpsize) | CSVMLight | [protected] |
optimize_svm(int32_t *docs, int32_t *label, int32_t *exclude_from_eq_const, float64_t eq_target, int32_t *chosen, int32_t *active2dnum, int32_t totdoc, int32_t *working2dnum, int32_t varnum, float64_t *a, float64_t *lin, float64_t *c, float64_t *aicache, QP *qp, float64_t *epsilon_crit_target) | CSVMLight | |
optimize_to_convergence(int32_t *docs, int32_t *label, int32_t totdoc, SHRINK_STATE *shrink_state, int32_t *inconsistent, float64_t *a, float64_t *lin, float64_t *c, TIMING *timing_profile, float64_t *maxdiff, int32_t heldout, int32_t retrain) | CSVMLight | |
parallel | CSGObject | |
precision_violations | CSVMLight | [protected] |
primal | CSVMLight | [protected] |
print_serializable(const char *prefix="") | CSGObject | [virtual] |
qpsize | CSVM | [protected] |
reactivate_inactive_examples(int32_t *label, float64_t *a, SHRINK_STATE *shrink_state, float64_t *lin, float64_t *c, int32_t totdoc, int32_t iteration, int32_t *inconsistent, int32_t *docs, float64_t *aicache, float64_t *maxdiff) | CSVMLight | [virtual] |
reactivate_inactive_examples_linadd_helper(void *p) | CSVMLight | [protected, static] |
reactivate_inactive_examples_vanilla_helper(void *p) | CSVMLight | [protected, static] |
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] |
select_next_qp_subproblem_grad(int32_t *label, float64_t *a, float64_t *lin, float64_t *c, int32_t totdoc, int32_t qp_size, int32_t *inconsistent, int32_t *active2dnum, int32_t *working2dnum, float64_t *selcrit, int32_t *select, int32_t cache_only, int32_t *key, int32_t *chosen) | CSVMLight | |
select_next_qp_subproblem_rand(int32_t *label, float64_t *a, float64_t *lin, float64_t *c, int32_t totdoc, int32_t qp_size, int32_t *inconsistent, int32_t *active2dnum, int32_t *working2dnum, float64_t *selcrit, int32_t *select, int32_t *key, int32_t *chosen, int32_t iteration) | CSVMLight | |
select_top_n(float64_t *selcrit, int32_t range, int32_t *select, int32_t n) | CSVMLight | |
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_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_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_nu(float64_t nue) | CSVM | |
set_objective(float64_t v) | CSVM | |
set_parallel(Parallel *parallel) | CSGObject | |
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_tube_epsilon(float64_t eps) | CSVM | |
set_version(Version *version) | CSGObject | |
shrink_problem(SHRINK_STATE *shrink_state, int32_t *active2dnum, int32_t *last_suboptimal_at, int32_t iteration, int32_t totdoc, int32_t minshrink, float64_t *a, int32_t *inconsistent, float64_t *c, float64_t *lin, int *label) | CSVMLight | |
shrink_state_cleanup(SHRINK_STATE *shrink_state) | CSVMLight | |
solver_type | CClassifier | [protected] |
svm_learn() | CSVMLight | |
svm_loaded | CSVM | [protected] |
train(CFeatures *data=NULL) | CSVMLightOneClass | [virtual] |
tube_epsilon | CSVM | [protected] |
unset_generic() | CSGObject | |
update_linear_component(int32_t *docs, int32_t *label, int32_t *active2dnum, float64_t *a, float64_t *a_old, int32_t *working2dnum, int32_t totdoc, float64_t *lin, float64_t *aicache, float64_t *c) | CSVMLight | [virtual] |
update_linear_component_linadd_helper(void *p) | CSVMLight | [protected, static] |
update_linear_component_mkl(int32_t *docs, int32_t *label, int32_t *active2dnum, float64_t *a, float64_t *a_old, int32_t *working2dnum, int32_t totdoc, float64_t *lin, float64_t *aicache) | CSVMLight | |
update_linear_component_mkl_linadd(int32_t *docs, int32_t *label, int32_t *active2dnum, float64_t *a, float64_t *a_old, int32_t *working2dnum, int32_t totdoc, float64_t *lin, float64_t *aicache) | CSVMLight | |
update_linear_component_mkl_linadd_helper(void *p) | CSVMLight | [static] |
use_batch_computation | CKernelMachine | [protected] |
use_bias | CKernelMachine | [protected] |
use_kernel_cache | CSVMLight | [protected] |
use_linadd | CKernelMachine | [protected] |
use_shrinking | CSVM | [protected] |
verbosity | CSVMLight | [protected] |
version | CSGObject | |
W | CSVMLight | [protected] |
~CClassifier() | CClassifier | [virtual] |
~CKernelMachine() | CKernelMachine | [virtual] |
~CSGObject() | CSGObject | [virtual] |
~CSVM() | CSVM | [virtual] |
~CSVMLight() | CSVMLight | [virtual] |
~CSVMLightOneClass() | CSVMLightOneClass | [virtual] |