EXA Minor fixes in plot_sparse_logistic_regression_20newsgroups.py (s…

…cikit-learn#15925)
bouhali · Dec 19, 2019 · a4db101 · a4db101
1 parent 556eb92
commit a4db101
Showing 1 changed file with 3 additions and 4 deletions.
diff --git a/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py b/examples/linear_model/plot_sparse_logistic_regression_20newsgroups.py
@@ -1,7 +1,7 @@
 """
-=====================================================
-Multiclass sparse logisitic regression on newgroups20
-=====================================================
+====================================================
+Multiclass sparse logistic regression on 20newgroups
+====================================================
 
 Comparison of multinomial logistic L1 vs one-versus-rest L1 logistic regression
 to classify documents from the newgroups20 dataset. Multinomial logistic
@@ -42,7 +42,6 @@
 # Turn down for faster run time
 n_samples = 10000
 
-# Memorized fetch_rcv1 for faster access
 X, y = fetch_20newsgroups_vectorized('all', return_X_y=True)
 X = X[:n_samples]
 y = y[:n_samples]