From bb1be4e0efccfb751c2e2dd21f0244736c855405 Mon Sep 17 00:00:00 2001
From: Mathieu Blondel <mathieu@mblondel.org>
Date: Sun, 29 Jan 2012 02:42:01 +0900
Subject: [PATCH] Add Perceptron to document classification example.

---
 examples/document_classification_20newsgroups.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/examples/document_classification_20newsgroups.py b/examples/document_classification_20newsgroups.py
index 61bf16ef9ea..9fc8ef7519e 100644
--- a/examples/document_classification_20newsgroups.py
+++ b/examples/document_classification_20newsgroups.py
@@ -35,6 +35,7 @@ from sklearn.feature_selection import SelectKBest, chi2
 from sklearn.linear_model import RidgeClassifier
 from sklearn.svm import LinearSVC
 from sklearn.linear_model import SGDClassifier
+from sklearn.linear_model import Perceptron
 from sklearn.naive_bayes import BernoulliNB, MultinomialNB
 from sklearn.neighbors import KNeighborsClassifier
 from sklearn.utils.extmath import density
@@ -180,6 +181,7 @@ def benchmark(clf):
     return score, train_time, test_time
 
 for clf, name in ((RidgeClassifier(tol=1e-1), "Ridge Classifier"),
+                  (Perceptron(n_iter=50), "Perceptron"),
                   (KNeighborsClassifier(n_neighbors=10), "kNN")):
     print 80 * '='
     print name