Typo @ guide_advanced.rst

docs/guide_advanced.rst

@@ -15,7 +15,7 @@ Here's how to setup such a pipeline with a multi-layer perceptron as a classifie
 
 .. code:: python
 
-    from sknn.mlp improt Classifier, Layer
+    from sknn.mlp import Classifier, Layer
 
     from sklearn.pipeline import Pipeline
     from sklearn.preprocessing import MinMaxScaler
@@ -104,4 +104,4 @@ In the cases when you have large numbers of hyper-parameters that you want to tr
         'hidden0__type': ["Rectifier", "Sigmoid", "Tanh"]})
     rs.fit(a_in, a_out)
 
-This works for both :class:`sknn.mlp.Classifier` and :class:`sknn.mlp.Regressor`.
+This works for both :class:`sknn.mlp.Classifier` and :class:`sknn.mlp.Regressor`.