Update notebooks

automl/10.auto-ml-multi-output-example.ipynb

@@ -15,7 +15,9 @@
       "source": [
         "# AutoML 10: Multi-output\n",
         "\n",
-        "This notebook shows how to use AutoML to train multi-output problems by leveraging the correlation between the outputs using indicator vectors."
+        "This notebook shows how to use AutoML to train multi-output problems by leveraging the correlation between the outputs using indicator vectors.\n",
+        "\n",
+        "Make sure you have executed the [00.configuration](00.configuration.ipynb) before running this notebook."
       ]
     },
     {
@@ -264,6 +266,11 @@
     }
   ],
   "metadata": {
+    "authors": [
+      {
+        "name": "savitam"
+      }
+    ],
     "kernelspec": {
       "display_name": "Python 3.6",
       "language": "python",