class sklearn.neighbors.KNeighborsClassifier(n_neighbors=5, weights=’uniform’, 
                                             algorithm=’auto’, leaf_size=30, p=2, 
                                             metric=’minkowski’, 
                                             metric_params=None, n_jobs=1, **kwargs)


>>> X = [[0], [1], [2], [3]]
>>> y = [0, 0, 1, 1]
>>> from sklearn.neighbors import KNeighborsClassifier
>>> neigh = KNeighborsClassifier(n_neighbors=3)
>>> neigh.fit(X, y) 
KNeighborsClassifier(...)
>>> print(neigh.predict([[1.1]]))
[0]
>>> print(neigh.predict_proba([[0.9]]))
[[ 0.66666667  0.33333333]]