update samples from Release-53 as a part of 1.19.0 SDK stable release

how-to-use-azureml/automated-machine-learning/experimental/regression-model-proxy/auto-ml-regression-model-proxy.ipynb

@@ -68,6 +68,7 @@
         "import logging\n",
         "\n",
         "from matplotlib import pyplot as plt\n",
+        "import json\n",
         "import numpy as np\n",
         "import pandas as pd\n",
         " \n",
@@ -92,7 +93,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "print(\"This notebook was created using version 1.18.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.19.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },
@@ -322,6 +323,24 @@
         "print(best_run)"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "#### Show hyperparameters\n",
+        "Show the model pipeline used for the best run with its hyperparameters."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "run_properties = json.loads(best_run.get_details()['properties']['pipeline_script'])\n",
+        "print(json.dumps(run_properties, indent = 1)) "
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},