15 lines
363 B
Python
15 lines
363 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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regsistry_path = '/mlruns/17/ /artifacts/model' #
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model = mlflow.pyfunc.load_model(registry_path) #
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with open(f'{model}/input_example.json') as f:
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input_example_data = json.load(f)
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input_example = np.array() #
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print(f'Input example: {input_example}')
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print(f'Model prediction: {model.predict(input_example)}')
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