MLOps Ep.4 Productionizing Scoring Script

mlops-score.py

# Import libraries
import json
import numpy as np
from azureml.core.model import Model
import joblib

# Load model
model_path = Model.get_model_path(model_name="sklearn_regression_model.pkl")
model = joblib.load(model_path)

# Prepare data
data = np.random.rand(4, 13)

# Score data
request_headers = {}
result = model.predict(data)
print("Test result: ", {"result": result.tolist()})