update samples from Release-80 as a part of SDK release

Author: amlrelsa-ms

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

@@ -199,6 +199,7 @@
         "|**n_cross_validations**|Number of cross validation splits.|\n",
         "|**training_data**|(sparse) array-like, shape = [n_samples, n_features]|\n",
         "|**label_column_name**|(sparse) array-like, shape = [n_samples, ], targets values.|\n",
+        "|**scenario**|We need to set this parameter to 'Latest' to enable some experimental features. This parameter should not be set outside of this experimental notebook.|\n",
         "\n",
         "**_You can find more information about primary metrics_** [here](https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-configure-auto-train#primary-metric)"
       ]
@@ -227,6 +228,7 @@
         "                             compute_target = compute_target,\n",
         "                             training_data = train_data,\n",
         "                             label_column_name = label,\n",
+        "                             scenario='Latest',\n",
         "                             **automl_settings\n",
         "                            )"
       ]

how-to-use-azureml/deployment/enable-app-insights-in-production-service/enable-app-insights-in-production-service.ipynb

@@ -276,16 +276,17 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "from azureml.exceptions import ComputeTargetException\n",
+        "from azureml.core.compute import ComputeTarget, AksCompute\n",
+        "from azureml.core.compute_target import ComputeTargetException\n",
         "\n",
-        "aks_name = \"my-aks\"\n",
+        "aks_name = \"my-aks-insights\"\n",
         "\n",
         "creating_compute = False\n",
         "try:\n",
         "    aks_target = ComputeTarget(ws, aks_name)\n",
-        "    print(\"Using existing AKS cluster {}.\".format(aks_name))\n",
+        "    print(\"Using existing AKS compute target {}.\".format(aks_name))\n",
         "except ComputeTargetException:\n",
-        "    print(\"Creating a new AKS cluster {}.\".format(aks_name))\n",
+        "    print(\"Creating a new AKS compute target {}.\".format(aks_name))\n",
         "\n",
         "    # Use the default configuration (can also provide parameters to customize).\n",
         "    prov_config = AksCompute.provisioning_configuration()\n",
@@ -302,7 +303,7 @@
       "outputs": [],
       "source": [
         "%%time\n",
-        "if creating_compute:\n",
+        "if creating_compute and aks_target.provisioning_state != \"Succeeded\":\n",
         "    aks_target.wait_for_completion(show_output=True)"
       ]
     },
@@ -382,7 +383,7 @@
         "    aks_service.wait_for_deployment(show_output=True)\n",
         "    print(aks_service.state)\n",
         "else:\n",
-        "    raise ValueError(\"AKS provisioning failed. Error: \", aks_service.error)"
+        "    raise ValueError(\"AKS cluster provisioning failed. Error: \", aks_target.provisioning_errors)"
       ]
     },
     {
@@ -460,7 +461,9 @@
         "%%time\n",
         "aks_service.delete()\n",
         "aci_service.delete()\n",
-        "model.delete()"
+        "model.delete()\n",
+        "if creating_compute:\n",
+        "    aks_target.delete()"
       ]
     }
   ],