Zaktualizuj 'train-mlflow.py'
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@ -100,7 +100,7 @@ def my_main(epochs):
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#result.write(f'{y_predicted}')
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input_example = X_testing[0]
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siganture = (X_training, y_predicted_train))
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siganture = (X_training, y_predicted_train)
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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mlflow.pytorch.log_model(model, "model", registered_model_name="s478815", signature=siganture, input_example=input_example)
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