15 lines
437 B
Python
15 lines
437 B
Python
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import mlflow
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import numpy as np
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import json
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logged_model = '/mlruns/14/80fe21a0804844088147d15a3cebb3e5/artifacts/lego-model'
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# Load model as a PyFuncModel.
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loaded_model = mlflow.pyfunc.load_model(logged_model)
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with open(f'{loaded_model}/input_example.json') as f:
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input_example_data = json.load(f)
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# Predictions
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print(f'input: {input_example_data}')
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print(f'predictions: {loaded_model.predict(input_example_data)}')
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