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.