Update the description of TverskyLoss #626
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I think you should rethink the description of the [Tversky loss function](https://smp.readthedocs.io/en/latest/losses.html#:~:text=Tversky%20loss%20for%20image%20segmentation%20task.%20Where%20TP%20and%20FP%20is%20weighted%20by%20alpha%20and%20beta%20params.%20With%20alpha%20%3D%3D%20beta%20%3D%3D%200.5%2C%20this%20loss%20becomes%20equal%20DiceLoss.%20It%20supports%20binary%2C%20multiclass%20and%20multilabel%20cases). You can check the article and see that FN and FP are alpha and beta weighted, while your description says that the loss function weights TP and FP. But the function itself is implemented correctly.
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I think you should rethink the description of the Tversky loss function.
You can check the article and see that FN and FP are alpha and beta weighted, while your description says that the loss function weights TP and FP. But the function itself is implemented correctly.