Zaktualizuj 'train.py'
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train.py
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train.py
@ -102,7 +102,7 @@ with mlflow.start_run() as run:
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loss.backward()
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loss.backward()
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optimizer.step()
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optimizer.step()
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# Infer model signature to log it
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torch.save(model,"classificationn_model.pt")
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signature = infer_signature(X_train.numpy(), model(X_train).detach().numpy())
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signature = infer_signature(X_train.numpy(), model(X_train).detach().numpy())
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input_example = {"input": X_train[0].numpy().tolist()}
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input_example = {"input": X_train[0].numpy().tolist()}
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