Update notebooks

tutorials/01.train-models.ipynb

@@ -676,9 +676,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3.6",
    "language": "python",
-   "name": "python3"
+   "name": "python36"
   },
   "language_info": {
    "codemirror_mode": {

tutorials/02.deploy-models.ipynb

@@ -541,9 +541,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3.6",
    "language": "python",
-   "name": "python3"
+   "name": "python36"
   },
   "language_info": {
    "codemirror_mode": {

tutorials/03.auto-train-models.ipynb

@@ -191,7 +191,7 @@
     "|**max_time_sec**|12,000|Time limit in seconds for each iteration|\n",
     "|**iterations**|20|Number of iterations. In each iteration, the model trains with the data with a specific pipeline|\n",
     "|**n_cross_validations**|3|Number of cross validation splits|\n",
-    "|**preprocess**|True| *True/False* Enables experiment to perform preprocessing on the input.  Preprocessing handles *missing data*, and performs some common *feature extraction*|\n",
+    "|**preprocess**|False| *True/False* Enables experiment to perform preprocessing on the input.  Preprocessing handles *missing data*, and performs some common *feature extraction*|\n",
     "|**exit_score**|0.995|*double* value indicating the target for *primary_metric*. Once the target is surpassed the run terminates|\n",
     "|**blacklist_algos**|['kNN','LinearSVM']|*Array* of *strings* indicating algorithms to ignore.\n"
    ]
@@ -210,7 +210,7 @@
     "                             max_time_sec = 12000,\n",
     "                             iterations = 20,\n",
     "                             n_cross_validations = 3,\n",
-    "                             preprocess = True,\n",
+    "                             preprocess = False,\n",
     "                             exit_score = 0.995,\n",
     "                             blacklist_algos = ['kNN','LinearSVM'],\n",
     "                             X = X_digits,\n",
@@ -380,9 +380,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3.6",
    "language": "python",
-   "name": "python3"
+   "name": "python36"
   },
   "language_info": {
    "codemirror_mode": {