Zaktualizuj 'ml_pytorch_mlflow.py'
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@ -142,7 +142,8 @@ def my_main(epochs):
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# inputss, targetss = val_ds
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inputss = pd.DataFrame(inputss, dtype=np.float64)
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inputss = inputss.to_numpy()
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# inputss = inputss.to_numpy()
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inputsss = inputss.values
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MSE = mean_squared_error(expected, predicted)
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MAE = mean_absolute_error(expected, predicted)
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@ -156,10 +157,10 @@ def my_main(epochs):
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input_, target = val_ds[i]
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file.write(str(predict_single(input_, target, model)))
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print(inputss)
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print(inputsss)
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input_example = inputss[0]
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signature = infer_signature(inputss, expected)
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input_example = inputsss[0]
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signature = infer_signature(inputsss, expected)
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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if tracking_url_type_store != "file":
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