CMKLRegression Member List

This is the complete list of members for CMKLRegression, including all inherited members.
beta_localCMKL [protected]
C1CSVM [protected]
C2CSVM [protected]
C_mklCMKL [protected]
callbackCSVM [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_lambdaCMKL [protected]
envCMKL [protected]
epsilonCSVM [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_optimizationCMKL [protected]
ioCSGObject
is_generic(EPrimitiveType *generic) const CSGObject [virtual]
kernelCKernelMachine [protected]
labelsCClassifier [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_cplexCMKL [protected]
lp_glpkCMKL [protected]
lp_initializedCMKL [protected]
m_alphaCKernelMachine [protected]
m_biasCKernelMachine [protected]
m_linear_termCSVM [protected]
m_linear_term_lenCSVM [protected]
m_parametersCSGObject [protected]
m_svsCKernelMachine [protected]
max_train_timeCClassifier [protected]
mklCSVM [protected]
mkl_epsilonCMKL [protected]
mkl_iterationsCMKL [protected]
mkl_normCMKL [protected]
nuCSVM [protected]
num_svsCKernelMachine [protected]
objectiveCSVM [protected]
parallelCSGObject
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]
qpsizeCSVM [protected]
rhoCMKL [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_typeCClassifier [protected]
svmCMKL [protected]
svm_loadedCSVM [protected]
train(CFeatures *data=NULL)CMKL [virtual]
tube_epsilonCSVM [protected]
unset_generic()CSGObject
use_batch_computationCKernelMachine [protected]
use_biasCKernelMachine [protected]
use_linaddCKernelMachine [protected]
use_shrinkingCSVM [protected]
versionCSGObject
WCMKL [protected]
w_gapCMKL [protected]
~CClassifier()CClassifier [virtual]
~CKernelMachine()CKernelMachine [virtual]
~CMKL()CMKL [virtual]
~CMKLRegression()CMKLRegression [virtual]
~CSGObject()CSGObject [virtual]
~CSVM()CSVM [virtual]
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