Update import statements in notebooks (blue-yonder#471)

* Update import statements to take train_test_split from model_selection instead of cross_validation

* Up scikit-learn dependancy to 0.19.0

notebooks/basic_pipeline_example.ipynb

@@ -22,7 +22,7 @@
    "source": [
     "import pandas as pd\n",
     "from sklearn.pipeline import Pipeline\n",
-    "from sklearn.cross_validation import train_test_split\n",
+    "from sklearn.model_selection import train_test_split\n",
     "from sklearn.ensemble import RandomForestClassifier\n",
     "from sklearn.metrics import classification_report\n",
     "\n",

notebooks/pipeline_with_two_datasets.ipynb

@@ -38,7 +38,7 @@
    "source": [
     "import pandas as pd\n",
     "from sklearn.pipeline import Pipeline\n",
-    "from sklearn.cross_validation import train_test_split\n",
+    "from sklearn.model_selection import train_test_split\n",
     "from sklearn.ensemble import RandomForestClassifier\n",
     "from sklearn.metrics import classification_report\n",
     "from tsfresh.examples.robot_execution_failures import download_robot_execution_failures\n",

notebooks/robot_failure_example.ipynb

@@ -38,7 +38,7 @@
     "from tsfresh.utilities.dataframe_functions import impute\n",
     "from tsfresh.feature_extraction import ComprehensiveFCParameters\n",
     "from sklearn.tree import DecisionTreeClassifier\n",
-    "from sklearn.cross_validation import train_test_split\n",
+    "from sklearn.model_selection import train_test_split\n",
     "from sklearn.metrics import classification_report"
    ]
   },

requirements.txt

@@ -4,10 +4,10 @@ pandas>=0.20.3
 scipy>=0.17.0
 statsmodels>=0.8.0
 patsy>=0.4.1
-scikit-learn>=0.17.1
+scikit-learn>=0.19.0
 future>=0.16.0
 six>=1.10.0
 tqdm>=4.10.0
 ipaddress>=1.0.18; python_version <= '2.7'
 dask>=0.15.2
-distributed>=1.18.3
+distributed>=1.18.3