Python APIΒΆ

This section includes information for using the Python API of credible.

credible.bayesian.metrics

Implementation of Scikit-Learn compatible measures with bayesian credible regions.

credible.bayesian.kfold

Implementation of Scikit-Learn compatible measures with bayesian credible regions for k-folding experiments.

credible.bayesian.functors

Functors with standard credible region parameterisation.

credible.bayesian.utils

Functions to evalute the (Bayesian) credible region of measures.

credible.frequentist.metrics

Implementation of Scikit-Learn compatible measures with confidence intervals estimated via non-parametric bootstrapping.

credible.frequentist.functors

Functors with standard confidence interval parameterisation.

credible.frequentist.utils

Frequentist confidence interval estimation.

credible.metrics

Common interface for Scikit-Learn compatible measures with uncertainity estimates.

credible.curves

Curve plotting support.

credible.plot

Plotting support for our curves.

credible.utils

Basic typing used throughout this package.