Version 0.8.0

• Add the Least Ambiguous Set-Valued Classifiers (LAC) method in conformal classification module.
• Add theory overview of LAC and Conformal Anomaly Detection (CAD)
• Several documentation improvements

Version 0.7.8

• Conformal object detection tutorial

• Fix issue #57

• Update documentation overall

Version 0.7.7

• Fixed negative sigma issue in LocallyAdaptiveCP. The exception "All MAD predictions should be positive." should not be raised anymore: the associated negative nonconformity scores are ignored during calibration and result in an infinite prediction interval during inference.
• Added documentation for experimental PyTorchPredictor.

Version 0.7.6

• Fixed incorrect pre-trained status check in DualPredictor (and MeanVarPredictor). Wrapped underlying models must have their is_trained status set to True to consider that DualPredictor (or MeanVarPredictor) is pre-trained.
• Further tests for pre-trained status checks were added.
• Changed pkgutil.find_loader with import lib.util.find_spec as find_loader is deprecated and will be removed in Python 3.14.

Version 0.7.5

Simplified API procedure for conformalizing pretrained underlying models: instantiating a ConformalPredictor object in this situation is performed with a splitter set to None.

v0.7.4: Builtin predictors (#44)

* feat: enable conformal procedure without api predictor wrappers for models that natively implements fit and predict.