13 lines
388 B
Python
13 lines
388 B
Python
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import json
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import mlflow
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import numpy as np
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path = '/mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model'
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model = mlflow.pyfunc.load_model(path)
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with open(f'{path}/input_example.json') as file:
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data = json.load(file)
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input_example = np.array([data['inputs']]).reshape(-1, 2)
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print('Input:\n', input_example)
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print('Predictions:\n', model.predict(input_example))
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