Welcome to SVEKER’s documentation!

SVEKER is a python package for the calculation of exact Shapley values for binary input data for Support Vector Machines (SVMs).

Note

This project is under active developement!

Indices and Tables

• Index

• Search Page

Contents

• Usage
  • Installation
  • Example Usage
    • Regression
    • Classification
  • Citations
• API
  • Classes: SVEKER
    • SVEKER.ExplainingSVM
      • ExplainingSVM
        • ExplainingSVM.__init__()
        • ExplainingSVM.shapley_values()
    • SVEKER.ExplainingSVC
      • ExplainingSVC
        • ExplainingSVC.__init__()
        • ExplainingSVC.expected_value
        • ExplainingSVC.expected_value_logit_space
        • ExplainingSVC.fit()
        • ExplainingSVC.platt()
        • ExplainingSVC.predict_proba()
        • ExplainingSVC.set_params()
        • ExplainingSVC.shapley_values()
    • SVEKER.ExplainingSVR
      • ExplainingSVR
        • ExplainingSVR.__init__()
        • ExplainingSVR.expected_value
        • ExplainingSVR.fit()
        • ExplainingSVR.set_params()
        • ExplainingSVR.shapley_values()
  • Kernel: SVEKER.kernels
    • SVEKER.kernels.BaseKernel
      • BaseKernel
        • BaseKernel.__init__()
        • BaseKernel.delta_nu_fminus()
        • BaseKernel.delta_nu_fplus()
        • BaseKernel.get_kernel_function()
        • BaseKernel.phi_fminus()
        • BaseKernel.phi_fplus()
    • SVEKER.kernels.TanimotoKernel
      • TanimotoKernel
        • TanimotoKernel.__init__()
        • TanimotoKernel.delta_nu_fminus()
        • TanimotoKernel.delta_nu_fplus()
        • TanimotoKernel.get_kernel_function()
    • SVEKER.kernels.RBFKernel
      • RBFKernel
        • RBFKernel.__init__()
        • RBFKernel.delta_nu_fminus()
        • RBFKernel.delta_nu_fplus()
        • RBFKernel.get_kernel_function()
        • RBFKernel.phi_fminus()
        • RBFKernel.phi_fplus()
    • SVEKER.kernels.PolynomialKernel
      • PolynomialKernel
        • PolynomialKernel.__init__()
        • PolynomialKernel.delta_nu_fminus()
        • PolynomialKernel.delta_nu_fplus()
        • PolynomialKernel.get_kernel_function()
        • PolynomialKernel.phi_fminus()
        • PolynomialKernel.phi_fplus()
    • SVEKER.kernels.SigmoidKernel
      • SigmoidKernel
        • SigmoidKernel.__init__()
        • SigmoidKernel.delta_nu_fminus()
        • SigmoidKernel.delta_nu_fplus()
        • SigmoidKernel.get_kernel_function()
        • SigmoidKernel.phi_fminus()
        • SigmoidKernel.phi_fplus()
  • Utility Functions: SVEKER.utils Functions
    • SVEKER.utils.m_coeff
      • m_coeff()
    • SVEKER.utils.c_fplus
      • c_fplus()
    • SVEKER.utils.c_fminus
      • c_fminus()