# 0.1.0 - Release of confident learning paper based on this version of cleanlab: https://arxiv.org/pdf/1911.00068.pdf
# - Documentation increase
# - Add examples to find label errors in mnist, cifar, imagenet
# - re-organized examples and added readme.
0.0.8 - Multiple major changes
- Finding label errors is no fully parallelized.
- prune_count_method parameter has been removed.
- estimate_confident_joint_from_probabilities now automatically calibrates confident joint to be a true joint estimate.
- Confident joint algorithm changed! When an example is found confidently as 2+ labels, choose class with max probability.
Curtis G. Northcutt