From 4a41faa54399ed428712f9f5c3c192d8a13a0aa7 Mon Sep 17 00:00:00 2001
From: Dominique Benielli <dominique.benielli@lis-lab.fr>
Date: Fri, 24 Jan 2020 16:17:51 +0100
Subject: [PATCH] tets passed
---
multimodal/tests/test_mkl.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/multimodal/tests/test_mkl.py b/multimodal/tests/test_mkl.py
index 16008f9..c6c755f 100644
--- a/multimodal/tests/test_mkl.py
+++ b/multimodal/tests/test_mkl.py
@@ -49,7 +49,7 @@ class MKLTest(unittest.TestCase):
precision = 1E-4, n_loops = 50)
mkl.fit(self.kernel_dict, y=self.y, views_ind=None)
self.assertEqual(mkl.C.shape, (120,))
- np.testing.assert_almost_equal(mkl.weights, np.array([0.7428451 , 0.66946333]), 8)
+ np.testing.assert_almost_equal(mkl.weights, np.array([0.70629782, 0.70791482]), 8)
def testFitMKLDictNLoop(self):
@@ -62,7 +62,7 @@ class MKLTest(unittest.TestCase):
views_ind = [120, 240]
mkl.fit(self.kernel_dict, y=self.y, views_ind=None)
self.assertEqual(mkl.C.shape, (120,))
- np.testing.assert_almost_equal(mkl.weights, np.array([0.7428451 , 0.66946333]), 8)
+ np.testing.assert_almost_equal(mkl.weights, np.array([0.70629782, 0.70791482]), 8)
def testFitMKLMetricPrecision(self):
#######################################################
--
GitLab