16 lines
481 B
Python
16 lines
481 B
Python
import mlflow
|
|
import numpy as np
|
|
import json
|
|
|
|
registry_path = '/mlruns/17/4a8894c60fe34adcb79108c66d7330fc/artifacts/linear-model' #
|
|
model = mlflow.pyfunc.load_model(registry_path) #
|
|
|
|
with open(f'{registry_path}/input_example.json') as f:
|
|
input_example_data = json.load(f)
|
|
print(input_example_data)
|
|
|
|
input_example = np.array(input_example_data['inputs']).reshape(-1, 8) #
|
|
|
|
print(f'Input example: {input_example}')
|
|
print(f'Model prediction: {model.predict(input_example)}')
|