Module types 

Structs

SvmModel

A trained SVM model.

SvmNode

A single sparse feature: index:value.

SvmParameter

SVM parameters controlling the formulation, kernel, and solver.

SvmProblem

A training/test problem: a collection of labelled sparse instances.

Enums

KernelType

Type of kernel function.

SvmType

Type of SVM formulation.

Functions

check_parameter

Full parameter check including ν-SVC feasibility against training data.

svm_check_probability_model

C-API style helper matching LIBSVM’s svm_check_probability_model.

svm_get_labels

C-API style helper matching LIBSVM’s svm_get_labels.

svm_get_nr_class

C-API style helper matching LIBSVM’s svm_get_nr_class.

svm_get_nr_sv

C-API style helper matching LIBSVM’s svm_get_nr_sv.

svm_get_sv_indices

C-API style helper matching LIBSVM’s svm_get_sv_indices.

svm_get_svm_type

C-API style helper matching LIBSVM’s svm_get_svm_type.

svm_get_svr_probability

C-API style helper matching LIBSVM’s svm_get_svr_probability.