The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
Feature request: allow the plotting routines for reliability diagram to take pre-existing Matplotlib Figure instances to work with so that the user is able to perform the figure handling.
Add new optional parameter to consume figure object (not axis objects, as most of the diagrams create multiple subplots).
Feature request: allow the plotting routines for reliability diagram to take pre-existing Matplotlib Figure instances to work with so that the user is able to perform the figure handling. Add new optional parameter to consume figure object (not axis objects, as most of the diagrams create multiple subplots).