ium_444501/s444356.py
2022-05-13 02:58:09 +02:00

12 lines
367 B
Python

import json
import mlflow
import numpy as np
model = mlflow.pyfunc.load_model('mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')
with open('input_example.json') as file:
data = json.load(file)
input_example = np.array([data['inputs'][0]]).reshape(-1, 2)
print('Input: ', input_example)
print('Predictions: ', model.predict(input_example))