2022-05-15 13:24:08 +02:00
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import json
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import mlflow
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import numpy as np
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import sys
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2022-05-15 13:30:37 +02:00
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PATH = "/mlruns/14/80fe21a0804844088147d15a3cebb3e5/artifacts/lego-model"
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model_version = 14
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model_name = "s449288"
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2022-05-15 13:24:08 +02:00
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2022-05-15 13:30:37 +02:00
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model = mlflow.pyfunc.load_model(
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model_uri=f"models:/{model_name}/{model_version}"
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)
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2022-05-15 13:24:08 +02:00
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with open(f'{PATH}/{(sys.argv[1:])[0]}', 'r') as file:
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json_data = json.load(file)
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2022-05-15 13:30:37 +02:00
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print(f"Prediction: {model.predict(np.array([500]))}")
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2022-05-15 13:28:18 +02:00
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2022-05-15 13:24:08 +02:00
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