add one more layer to model dir
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@ -64,7 +64,7 @@ def pull_model(server_uri: str,
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print(f'input data: {fake_data}, predictions: {output}')
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# save it to local file system
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mlflow.pyfunc.save_model(path='./model', python_model=model)
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mlflow.pyfunc.save_model(path=f'./model/{exp_name}', python_model=model)
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if __name__ == '__main__':
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