diff --git a/notebooks/samples/108 - Model Deployment with Spark Serving.ipynb b/notebooks/samples/108 - Model Deployment with Spark Serving.ipynb
index 4890bc45b4..53a012f728 100644
--- a/notebooks/samples/108 - Model Deployment with Spark Serving.ipynb	
+++ b/notebooks/samples/108 - Model Deployment with Spark Serving.ipynb	
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },
@@ -32,130 +32,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style>\n",
-       "    .dataframe thead tr:only-child th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>education</th>\n",
-       "      <th>marital-status</th>\n",
-       "      <th>hours-per-week</th>\n",
-       "      <th>income</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>28.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>10th</td>\n",
-       "      <td>Divorced</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>&lt;=50K</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   education  marital-status   hours-per-week  income\n",
-       "0       10th        Divorced             10.0   <=50K\n",
-       "1       10th        Divorced             25.0   <=50K\n",
-       "2       10th        Divorced             28.0   <=50K\n",
-       "3       10th        Divorced             30.0   <=50K\n",
-       "4       10th        Divorced             32.0   <=50K\n",
-       "5       10th        Divorced             35.0   <=50K\n",
-       "6       10th        Divorced             37.0   <=50K\n",
-       "7       10th        Divorced             38.0   <=50K\n",
-       "8       10th        Divorced             38.0   <=50K\n",
-       "9       10th        Divorced             40.0   <=50K"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dataFilePath = \"AdultCensusIncome.csv\"\n",
     "import os, urllib\n",
@@ -181,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },
@@ -201,25 +80,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "root\n",
-      " |--  education: string (nullable = true)\n",
-      " |--  marital-status: string (nullable = true)\n",
-      " |--  hours-per-week: double (nullable = true)\n",
-      " |--  income: string (nullable = true)\n",
-      " |-- scores: vector (nullable = true)\n",
-      " |-- scored_probabilities: vector (nullable = true)\n",
-      " |-- scored_labels: double (nullable = false)\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from mmlspark import ComputeModelStatistics, TrainedClassifierModel\n",
     "prediction = model.transform(test)\n",
@@ -228,65 +91,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style>\n",
-       "    .dataframe thead tr:only-child th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: left;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>evaluation_type</th>\n",
-       "      <th>confusion_matrix</th>\n",
-       "      <th>accuracy</th>\n",
-       "      <th>precision</th>\n",
-       "      <th>recall</th>\n",
-       "      <th>AUC</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Classification</td>\n",
-       "      <td>DenseMatrix([[ 5797.,   408.],\\n             [...</td>\n",
-       "      <td>0.822389</td>\n",
-       "      <td>0.688787</td>\n",
-       "      <td>0.464985</td>\n",
-       "      <td>0.87002</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  evaluation_type                                   confusion_matrix  \\\n",
-       "0  Classification  DenseMatrix([[ 5797.,   408.],\\n             [...   \n",
-       "\n",
-       "   accuracy  precision    recall      AUC  \n",
-       "0  0.822389   0.688787  0.464985  0.87002  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "metrics = ComputeModelStatistics().transform(prediction)\n",
     "metrics.limit(10).toPandas()"
@@ -302,7 +109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },
@@ -339,17 +146,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Response 0.0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import requests\n",
     "data = u'{\" education\":\" 10th\",\" marital-status\":\" Divorced\",\" hours-per-week\":40.0}'\n",
@@ -359,17 +158,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Response 1.0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import requests\n",
     "data = u'{\" education\":\" Masters\",\" marital-status\":\" Married-civ-spouse\",\" hours-per-week\":40.0}'\n",
@@ -379,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {
     "collapsed": true
    },