def testPearsonCoefficientValueForTwoVectors(self):
with self.test_session() as test_session:
x1 = np.array([2., 3., 4.])
x2 = np.array([3., 1., 5.])
actual_pearson_coefficient = test_session.run(pearson_correlation(x1, x2))
correct_pearson_coefficient = tf.constant([.5])
self.assertEqual(actual_pearson_coefficient, correct_pearson_coefficient.eval())
def testPositivePearsonCoefficientValueForTwoVectors(self):
with self.test_session() as test_session:
x1 = np.array([1., 2., 3.])
x2 = np.array([1., 2., 3.])
actual_pearson_coefficient = test_session.run(pearson_correlation(x1, x2))
correct_pearson_coefficient = [1.]
self.assertEqual(actual_pearson_coefficient, correct_pearson_coefficient)