11 lines
324 B
Python
11 lines
324 B
Python
import mlflow
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import numpy as np
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import json
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model = mlflow.pyfunc.load_model(
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'mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')
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with open('scripts/input_example.json') as f:
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data = np.array([json.load(f)['inputs'][0]], dtype=np.float64)
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print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")
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