lir 1.1.0

Version 1.1.0

on Python PyPI

New features:

• implemented LLR overestimation metric and plotting function;
• implemented boostrapping algorithm: BootstrapAtData, and added an optional interval to LLR values;
• improved PAV plots with labels and colours;

Breaking changes:

• require python >= 3.11
• metric functions, plotting functions, calibrators, etc. all use LLRs throughout the code;
• lir command line script takes the experiment setup yaml file as a positional argument (was: --setup);
• introduced data classes: FeatureData, LLRData and PairedFeatureData: the data classes make the data type more explicit and also do basic validation (was: tuple of ndarray);