13 lines
366 B
Python
13 lines
366 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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model = mlflow.pyfunc.load_model('mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')
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with open('input_example.json') as file:
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data = json.load(file)
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input_example = np.array([data['inputs'][0]]).reshape(-1, 2)
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print('Predictions:')
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for pred in model.predict(input_example):
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print(pred)
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