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