v0.3.0

Added

• Added support for both predicted labels and predicted probabilities in ModelMetadata.
• Support for monitoring model performance metrics using the PerformanceCalculator.
• Support for monitoring target distribution using the TargetDistributionCalculator

Changed

• Plotting will default to using step plots.
• Restructured the nannyml.drift package and subpackages. Breaking changes!
• Metadata completeness check will now fail when there are features of FeatureType.UNKNOWN.
• Chunk date boundaries are now calculated differently for a PeriodBasedChunker, using the
  theoretical period for boundaries as opposed to the observed boundaries within the chunk observations.
• Updated version of the black pre-commit hook due to breaking changes in its click dependency.
• The minimum chunk size will now be provided by each individual calculator / estimator / metric,
  allowing for each of them to warn the end user when chunk sizes are suboptimal.

Fixed

• Restrict version of the scipy dependency to be >=1.7.3, <1.8.0. Planned to be relaxed ASAP.
• Deal with missing values in chunks causing NaN values when concatenating.
• Crash when estimating CBPE without a target column present
• Incorrect label in ModelMetadata printout