How to implement more metrics in model.compile?

[Nora Dimitrova]

I want to evaluate segmentation results with Dice, Jaccard, True positive - False positive and True positive - False negative ratio. I saw the metrics script and how to implement each of them individually but not all of them. How can I get them together, also keeping mse?

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model = sm.Unet(BACKBONE, encoder_weights = "imagenet")
model.compile(optimizer = "adam", loss = "binary_crossentropy", metrics = ["mse"]) #mse mean squared error
.....