ium_478841/scripts/predict_s444356.py

import mlflow
import numpy as np
import json


model = mlflow.pyfunc.load_model(
    'mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')
with open('scripts/input_example.json') as f:
    data = np.array([json.load(f)['inputs'][0]], dtype=np.float64)
print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")
MLFlow other models inference init 2022-05-15 12:33:21 +02:00			`import mlflow`
			`import numpy as np`
			`import json`


			`model = mlflow.pyfunc.load_model(`
...registry.py rollback & ...s444356.py dir test 2022-05-15 12:57:34 +02:00			`'mlruns/1/4b83e774512444188fb587288818c298/artifacts/model')`
Input file fix 2022-05-15 12:58:35 +02:00			`with open('scripts/input_example.json') as f:`
Dtype fix 2022-05-15 12:59:27 +02:00			`data = np.array([json.load(f)['inputs'][0]], dtype=np.float64)`
MLFlow other models inference init 2022-05-15 12:33:21 +02:00			`print(f"Predicted values: {model.predict(data.reshape(-1, 2))}")`