14 lines
431 B
Python
14 lines
431 B
Python
import mlflow
|
|
import numpy as np
|
|
import json
|
|
|
|
logged_model = '/mlruns/20/80fe21a0804844088147d15a3cebb3e5/artifacts/lego'
|
|
loaded_model = mlflow.pyfunc.load_model(logged_model)
|
|
|
|
with open(f'{logged_model}/input_example.json') as f:
|
|
input_example_data = json.load(f)
|
|
|
|
input_example = np.array(input_example_data['inputs']).reshape(-1,)
|
|
|
|
print(f'Input: {input_example}')
|
|
print(f'Prediction: {loaded_model.predict(input_example)}') |