Fixed - sphinx and m2r were no longer in requirements files so docs failed added sphinx and had to update to m2r2 because m2r is not actively supported - Changelog dates were still for 2020
3.1.0
Changed - Datasets can now take string or encoded labels using sklearn label encoders. Added - Tests for new functionality in the Dataloaders for image, text, & ensemble
3.0.1
Fixed - `transformers` was listed twice in setup.py
3.0.0
Added - Report smoothed training losses in progress bar during fitting. Changed - Report exponentially weighted moving average rather than simple average of training loss over batches at the end of each epoch.
2.2.6
Fixed - Added `matplotlib` dependency to display progress bars in notebooks - Removed parameter that no longer exists from `MultiTaskLearner.fit` docstring Changed - Use `pip-tools`