ium_444356/predict.py
Maciej Czajka 30a09f0f7d
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update predict.py
2022-05-11 20:18:32 +02:00

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Python

import json
import mlflow
import sys
import numpy as np
input = sys.argv[1]
logged_model = 'mlruns/1/70439eb482b54d56b54b0ecc6f1ca96f/artifacts/s444409'
loaded_model = mlflow.pyfunc.load_model(logged_model)
with open(f'{logged_model}/'+input) as f:
data = json.load(f)
input_example = np.array([data['inputs'][0]], dtype=np.float32)
loaded_model.predict(input_example)