Also mentioning that the printed loss in the case of Regression is no longer RMSE but MSE. This is done for consistency with the metrics saved in the `History` callback.
**NOTE**: this does not change a thing in terms of how one would use the package. `pytorch-widedeep` can be used in the exact same way as previous versions. However, since the model components have changed, models generated with previous versions are not compatible with this version.
0.4.2
Added Precision, Recall, FBetaScore and Fscore.
Metrics available are: Accuracy, Precision, Recall, FBetaScore and Fscore
0.4.1
Added Documentation. Improved code quality and fixed a bug related to the Focal Loss