fix(warning): specify dimension explicitly when calling softmin
				
					
				
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		@@ -135,7 +135,7 @@ class SupervisedPrototypeModel(PrototypeModel):
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        distances = self.compute_distances(x)
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					        distances = self.compute_distances(x)
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        _, plabels = self.proto_layer()
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					        _, plabels = self.proto_layer()
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        winning = stratified_min_pooling(distances, plabels)
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					        winning = stratified_min_pooling(distances, plabels)
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        y_pred = torch.nn.functional.softmin(winning)
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					        y_pred = torch.nn.functional.softmin(winning, dim=1)
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        return y_pred
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					        return y_pred
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    def predict_from_distances(self, distances):
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					    def predict_from_distances(self, distances):
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