Set tol=-np.infty to avoid a warning

10_introduction_to_artificial_neural_networks.ipynb

@@ -74,6 +74,13 @@
     "# Perceptrons"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note**: we set `max_iter` and `tol` explicitly to avoid warnings about the fact that their default value will change in future versions of Scikit-Learn."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -88,7 +95,7 @@
     "X = iris.data[:, (2, 3)]  # petal length, petal width\n",
     "y = (iris.target == 0).astype(np.int)\n",
     "\n",
-    "per_clf = Perceptron(max_iter=100, random_state=42)\n",
+    "per_clf = Perceptron(max_iter=100, tol=-np.infty, random_state=42)\n",
     "per_clf.fit(X, y)\n",
     "\n",
     "y_pred = per_clf.predict([[2, 0.5]])"
@@ -968,7 +975,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.6.6"
   },
   "nav_menu": {
    "height": "264px",