Message in test_likelihood
@@ -208,7 +208,7 @@ def test_softmax_bernoulli_equivalence(num, dimF, dimY):
softmax_likelihood = Softmax(dimF)
bernoulli_likelihood = Bernoulli(invlink=tf.sigmoid)
- softmax_likelihood.num_monte_carlo_points = int(0.3e7) # Minimum number of point which work on CircleCI
+ softmax_likelihood.num_monte_carlo_points = int(0.3e7) # Minimum number of points to pass the test on CircleCI
bernoulli_likelihood.num_gauss_hermite_points = 50
assert_allclose(softmax_likelihood.conditional_mean(F)[:, :1], bernoulli_likelihood.conditional_mean(F[:, :1]))
