API

Classes: SVEKER

SVEKER.ExplainingSVM([kernel_type, degree, ...])	Base class for SVMs with exact Shapley values
SVEKER.ExplainingSVC(*[, C, kernel_type, ...])	Class for SVC with exact Shapley values.
SVEKER.ExplainingSVR(*[, kernel_type, ...])	Class for SVR with exact Shapley values.

Kernel: SVEKER.kernels

SVEKER.kernels.BaseKernel(no_player_value)	Base Class for different kernels to be used.
SVEKER.kernels.TanimotoKernel([no_player_value])	Implements the Tanimoto Kernel
SVEKER.kernels.RBFKernel([no_player_value, ...])	Implements the RBF Kernel
SVEKER.kernels.PolynomialKernel([...])	Implements the Polynomial kernel
SVEKER.kernels.SigmoidKernel([...])	Implements the Sigmoid kernel

Utility Functions: SVEKER.utils Functions

SVEKER.utils.m_coeff(n_i, n_d, i, d)	Calculates the multinomial coefficient \(m_\mathrm{coeff}\)
SVEKER.utils.c_fplus(n_i, n_d, i, d)	Calculates the \(C_{f^+}\) factor.
SVEKER.utils.c_fminus(n_i, n_d, i, d)	Calculates the \(C_{f^-}\) factor