DOC Perceptron examples in Perceptron.py (scikit-learn#11798)

Anubhav2000 · qinhanmin2014 · commit b8785139e2a0 · 2018-08-15T17:32:42.000+08:00
diff --git a/sklearn/linear_model/perceptron.py b/sklearn/linear_model/perceptron.py
@@ -123,6 +123,20 @@ class Perceptron(BaseSGDClassifier):
     ``Perceptron()`` is equivalent to `SGDClassifier(loss="perceptron",
     eta0=1, learning_rate="constant", penalty=None)`.
 
+    Examples
+    --------
+    >>> from sklearn.datasets import load_digits
+    >>> from sklearn.linear_model import Perceptron
+    >>> X, y = load_digits(return_X_y=True)
+    >>> clf = Perceptron(tol=1e-3, random_state=0)
+    >>> clf.fit(X, y)
+    Perceptron(alpha=0.0001, class_weight=None, early_stopping=False, eta0=1.0,
+          fit_intercept=True, max_iter=None, n_iter=None, n_iter_no_change=5,
+          n_jobs=None, penalty=None, random_state=0, shuffle=True, tol=0.001,
+          validation_fraction=0.1, verbose=0, warm_start=False)
+    >>> clf.score(X, y) # doctest: +ELLIPSIS
+    0.946...
+
     See also
     --------
 
