update samples from Release-93 as a part of SDK release

tutorials/quickstart-ci/score.py

@@ -0,0 +1,21 @@
+import json
+import numpy as np
+import os
+import joblib
+
+
+def init():
+    global model
+    # AZUREML_MODEL_DIR is an environment variable created during deployment.
+    # It is the path to the model folder (./azureml-models/$MODEL_NAME/$VERSION)
+    # For multiple models, it points to the folder containing all deployed models (./azureml-models)
+    model_path = os.path.join(os.getenv("AZUREML_MODEL_DIR"), "sklearn_mnist_model.pkl")
+    model = joblib.load(model_path)
+
+
+def run(raw_data):
+    data = np.array(json.loads(raw_data)["data"])
+    # make prediction
+    y_hat = model.predict(data)
+    # you can return any data type as long as it is JSON-serializable
+    return y_hat.tolist()