Release 0.6.3

[nnansters]

Hey everybody!

Niels from NannyML engineering here to tell you about our 0.6.3 bugfix release.
Nothing too fancy, just a couple of issues that warranted fixing and releasing as soon as possible 🩹

Installing / upgrading

You can get this latest version by using pip:

pip install -U nannyml

Or conda (might take a bit for the latest version to be available):
conda install -c conda-forge nannyml

What's changed?

• CBPE now uses uncalibrated y_pred_proba values to calculate realized performance. Fixed for both binary and multiclass use cases (#98)

• Fix an issue where reference data was rendered incorrectly on joy plots

• Updated the 'California Housing' example docs, thanks for the help @NeoKish

• Fix lower confidence bounds and thresholds under zero for regression cases. When the lower limit is set to 0, the lower threshold will not be plotted. (#127)

Niels