v1.0.0b1

First beta release with multi-label functionality and stopping criteria. Added/revised large parts of the documentation.

Added

• Added a changelog.
• All provided classifiers are now capable of multi-label classification.

Changed

• Documentation has been overhauled considerably.
• PoolBasedActiveLearner: Renamed incremental_training kwarg to reuse_model.
• SklearnClassifier: Changed __init__(clf) to __init__(model, num_classes, multi_Label=False)
• SklearnClassifierFactory: __init__(clf_template, kwargs={}) to __init__(base_estimator, num_classes, kwargs={}).
• Refactored KimCNNClassifier and TransformerBasedClassification.

Removed

• Removed device kwarg from PytorchDataset.__init__(),
  PytorchTextClassificationDataset.__init__() and TransformersDataset.__init__().