update samples - test

tutorials/img-classification-part2-deploy.ipynb

@@ -289,12 +289,12 @@
         "from sklearn.externals import joblib\n",
         "from sklearn.linear_model import LogisticRegression\n",
         "\n",
-        "from azureml.core.model import Model\n",
-        "\n",
         "def init():\n",
         "    global model\n",
-        "    # retrieve the path to the model file using the model name\n",
-        "    model_path = Model.get_model_path('sklearn_mnist')\n",
+        "    # AZUREML_MODEL_DIR is an environment variable created during deployment.\n",
+        "    # It is the path to the model folder (./azureml-models/$MODEL_NAME/$VERSION)\n",
+        "    # For multiple models, it points to the folder containing all deployed models (./azureml-models)\n",
+        "    model_path = os.path.join(os.getenv('AZUREML_MODEL_DIR'), 'sklearn_mnist_model.pkl')\n",
         "    model = joblib.load(model_path)\n",
         "\n",
         "def run(raw_data):\n",
@@ -598,7 +598,7 @@
   "metadata": {
     "authors": [
       {
-        "name": "roastala"
+        "name": "shipatel"
       }
     ],
     "kernelspec": {