v1.2.0

This release adds a SetFit classifier, the BALD query strategy, and two new example notebooks.

Added

Active Learning

• PoolBasedActiveLearner now handles keyword arguments passed to the classifier's fit() during the update() step.
• New strategy: BALD.
• SubsamplingQueryStrategy now uses the remaining unlabeled pool when more samples are requested than are available.

Classification

• Added new classifier: SetFitClassification which wraps huggingface/setfit.

Examples

• Revised both existing notebook examples.
• Added a notebook example for active learning with SetFit classifiers.
• Added a notebook example for cold start initialization with SetFit classifiers.

Documentation

• A showcase section has been added to the documentation.

Fixed

• Distances in lightweight_coreset were not correctly projected onto the [0, 1] interval (but ranking was unaffected).

Changed

• Coreset implementations now use the distance-based (as opposed to the similarity-based) formulation.