From 011e0c21df1ce06ae74e954ca554a78de8298f90 Mon Sep 17 00:00:00 2001
From: dubourg <dubourg@PTlami14.(none)>
Date: Sat, 13 Nov 2010 23:30:35 +0100
Subject: [PATCH] Correction of a bug in test_gpml.py (now runs perfect on my
machine!). I just don't know how to involve this test within the whole scikit
testing procedure (nosetests). Also add a modification of the TOC in doc.
---
doc/supervised_learning.rst | 1 +
scikits/learn/tests/test_gpml.py | 3 ++-
2 files changed, 3 insertions(+), 1 deletion(-)
diff --git a/doc/supervised_learning.rst b/doc/supervised_learning.rst
index 4c96d82bcf..55bcc6f12f 100644
--- a/doc/supervised_learning.rst
+++ b/doc/supervised_learning.rst
@@ -32,6 +32,7 @@ Supervised learning
modules/logistic
modules/ann
modules/feature_selection
+ modules/gpml
diff --git a/scikits/learn/tests/test_gpml.py b/scikits/learn/tests/test_gpml.py
index 15453dd8ee..7327f81f52 100644
--- a/scikits/learn/tests/test_gpml.py
+++ b/scikits/learn/tests/test_gpml.py
@@ -45,5 +45,6 @@ def test_regression_diabetes():
gpm.thetaL, gpm.thetaU = None, None
score_func = lambda self, X_test, y_test: self.predict(X_test)[0]
y_pred = cross_val.cross_val_score(gpm, X, y=y, score_func=score_func, cv=cross_val.LeaveOneOut(y.size), n_jobs=1, verbose=0)
+ Q2 = metrics.explained_variance(y_pred, y)
- assert Q2 > 0.
\ No newline at end of file
+ assert Q2 > 0.
--
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