chore: notebook pip install fixes

notebooks/features/hyperparameter_tuning/HyperOpt-SynapseML.ipynb

@@ -517,4 +517,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

notebooks/features/isolation_forest/IsolationForest - Multivariate Anomaly Detection.ipynb

@@ -27,6 +27,24 @@
     " - If you are running it on Synapse, you'll need to [create an AML workspace and set up linked Service](https://microsoft.github.io/SynapseML/docs/next/mlflow/installation/). \n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "import subprocess\n",
+    "import sys\n",
+    "\n",
+    "for package in [\"sqlparse\", \"raiwidgets\", \"interpret-community\"]:\n",
+    "    subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", package])"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -145,25 +163,10 @@
     "experiment_name = f\"/Shared/isolation_forest_experiment-{str(uuid.uuid1())}/\"\n",
     "model_name = f\"isolation-forest-model\"\n",
     "if running_on_synapse():\n",
-    "    import subprocess\n",
-    "    import sys\n",
-    "    from pyspark.sql.functions import udf\n",
     "    from synapse.ml.core.platform import materializing_display as display\n",
     "\n",
     "    # use regular display when running on interactive notebook\n",
-    "    # from notebookutils.visualization import display\n",
-    "\n",
-    "    for package in [\"sqlparse\", \"raiwidgets\", \"interpret-community\"]:\n",
-    "        subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", package])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install --upgrade interpret-community"
+    "    # from notebookutils.visualization import display"
    ]
   },
   {