ml q2
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@ -149,9 +149,9 @@ class RegressionDataset(CustomDataset):
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self.processed += 1
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if use_graphics and time.time() - self.last_update > 0.1:
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predicted = self.model(torch.tensor(self.x, dtype=torch.float32)).data
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loss = self.model.get_loss(x, y).data
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if use_graphics and time.time() - self.last_update > 1:
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predicted = self.model(torch.tensor(self.x, dtype=torch.float32).to(self.model.device)).data.cpu().numpy()
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loss = self.model.get_loss(x, y).data.cpu().item()
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self.learned.set_data(self.x[self.argsort_x], predicted[self.argsort_x])
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self.text.set_text("processed: {:,}\nloss: {:.6f}".format(
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self.processed, loss))
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