schuetoliver
/
handson-ml
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Move to sklearn 0.18

main
Aurélien Geron 2016-11-05 14:25:56 +01:00
parent 61f9b54cdb
commit 6ed00af7d0
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
07_ensemble_learning_and_random_forests.ipynb
View File

@ -117,7 +117,7 @@
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
"from sklearn.cross_validation import train_test_split\n", "from sklearn.model_selection import train_test_split\n",
"from sklearn.datasets import make_moons\n", "from sklearn.datasets import make_moons\n",
"\n", "\n",
"X, y = make_moons(n_samples=500, noise=0.30, random_state=42)\n", "X, y = make_moons(n_samples=500, noise=0.30, random_state=42)\n",
@ -634,7 +634,7 @@
}, },
"outputs": [], "outputs": [],
"source": [ "source": [
"from sklearn.cross_validation import train_test_split\n", "from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import mean_squared_error\n", "from sklearn.metrics import mean_squared_error\n",
"\n", "\n",
"X_train, X_val, y_train, y_val = train_test_split(X, y)\n", "X_train, X_val, y_train, y_val = train_test_split(X, y)\n",
@ -767,7 +767,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.5.1" "version": "3.5.2"
}, },
"nav_menu": { "nav_menu": {
"height": "252px", "height": "252px",