From 42c2ce407f377f6028c52e73bbb749932c674b63 Mon Sep 17 00:00:00 2001
From: Gael Varoquaux <gael.varoquaux@normalesup.org>
Date: Mon, 7 May 2012 22:53:44 +0200
Subject: [PATCH] BUG: remove n_jobs=-1 from examples

---
 examples/ensemble/plot_forest_importances_faces.py | 2 +-
 examples/exercises/plot_cv_diabetes.py             | 2 +-
 examples/exercises/plot_cv_digits.py               | 2 +-
 examples/plot_digits_pipe.py                       | 1 -
 4 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/examples/ensemble/plot_forest_importances_faces.py b/examples/ensemble/plot_forest_importances_faces.py
index 3ece3754a0..3e71d67c4f 100644
--- a/examples/ensemble/plot_forest_importances_faces.py
+++ b/examples/ensemble/plot_forest_importances_faces.py
@@ -19,7 +19,7 @@ from sklearn.datasets import fetch_olivetti_faces
 from sklearn.ensemble import ExtraTreesClassifier
 
 # Number of cores to use to perform parallel fitting of the forest model
-n_jobs = 2
+n_jobs = 1
 
 # Loading the digits dataset
 data = fetch_olivetti_faces()
diff --git a/examples/exercises/plot_cv_diabetes.py b/examples/exercises/plot_cv_diabetes.py
index 65efd6fd99..e4ccee0fa0 100644
--- a/examples/exercises/plot_cv_diabetes.py
+++ b/examples/exercises/plot_cv_diabetes.py
@@ -26,7 +26,7 @@ scores_std = list()
 
 for alpha in alphas:
     lasso.alpha = alpha
-    this_scores = cross_validation.cross_val_score(lasso, X, y, n_jobs=-1)
+    this_scores = cross_validation.cross_val_score(lasso, X, y, n_jobs=1)
     scores.append(np.mean(this_scores))
     scores_std.append(np.std(this_scores))
 
diff --git a/examples/exercises/plot_cv_digits.py b/examples/exercises/plot_cv_digits.py
index 1eeb997c50..b9706d3264 100644
--- a/examples/exercises/plot_cv_digits.py
+++ b/examples/exercises/plot_cv_digits.py
@@ -23,7 +23,7 @@ scores = list()
 scores_std = list()
 for C in C_s:
     svc.C = C
-    this_scores = cross_validation.cross_val_score(svc, X, y, n_jobs=-1)
+    this_scores = cross_validation.cross_val_score(svc, X, y, n_jobs=1)
     scores.append(np.mean(this_scores))
     scores_std.append(np.std(this_scores))
 
diff --git a/examples/plot_digits_pipe.py b/examples/plot_digits_pipe.py
index 6ca85e22f9..caf5c34254 100644
--- a/examples/plot_digits_pipe.py
+++ b/examples/plot_digits_pipe.py
@@ -49,7 +49,6 @@ pl.ylabel('explained_variance_')
 
 ###############################################################################
 # Prediction
-scores = cross_validation.cross_val_score(pipe, X_digits, y_digits, n_jobs=-1)
 
 from sklearn.grid_search import GridSearchCV
 
-- 
GitLab