Frederik Fraaz

A possible workaround for using `tfa.metrics.F1Score` for binary classification without one-hot encoding is to set `num_classes` to 1 and `threshold` to 0.5, i.e. ```python tfa.metrics.F1Score(num_classes=1, threshold=0.5) ``` Using the example...