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CBaseline 0.1.2

  • GitHub
  • GitHub

Documentation

User guide

  • Getting started
  • Prediction-neutral backgrounds
  • Choosing the reference prediction
  • Background constructions and tuning
  • Integrated Gradients and SHAP integrations
  • Diagnostics and numerical checks
  • The Integrated Gradients Stack

Reference

  • API reference
  • Papers and citation
  • Building the documentation
  • Publishing releases

Index

B | D | F | I | K | M | P | R | U | W

B

  • Background (class in cbaseline)
  • background() (in module cbaseline)

D

  • diagnostics (cbaseline.Background property)

F

  • f0 (cbaseline.Background property)
  • fit_prediction_metric() (in module cbaseline)

I

  • index (cbaseline.Background property)

K

  • kernel_weighted_background() (in module cbaseline)

M

  • metric (cbaseline.Background property)

P

  • PredictionMetric (class in cbaseline)
  • predictions (cbaseline.Background property)

R

  • resampled() (cbaseline.Background method)
  • rows (cbaseline.Background property)

U

  • uniform_background() (in module cbaseline)

W

  • weights (cbaseline.Background property)

© Copyright 2026, Ludger Hentschel.

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