revert test

pymc3/tests/test_bart.py

@@ -24,31 +24,6 @@ def test_leaf_node():
     assert leaf_node.get_idx_right_child() == 12
 
 
-def test_model():
-    X = np.linspace(7, 15, 100)
-    Y = np.sin(np.random.normal(X, 0.2)) + 3
-    X = X[:, None]
-
-    with pm.Model() as model:
-        sigma = pm.HalfNormal("sigma", 1)
-        mu = pm.BART("mu", X, Y, m=50)
-        y = pm.Normal("y", mu, sigma, observed=Y)
-        idata = pm.sample(chains=4)
-        mean = idata.posterior["mu"].stack(samples=("chain", "draw")).mean("samples")
-
-    np.testing.assert_allclose(mean, Y, 0.5)
-
-    Y = np.repeat([0, 1], 50)
-    with pm.Model() as model:
-        mu_ = pm.BART("mu_", X, Y, m=50)
-        mu = pm.Deterministic("mu", pm.math.invlogit(mu_))
-        y = pm.Bernoulli("y", mu, observed=Y)
-        idata = pm.sample(chains=4)
-        mean = idata.posterior["mu"].stack(samples=("chain", "draw")).mean("samples")
-
-    np.testing.assert_allclose(mean, Y, atol=0.5)
-
-
 def test_bart_vi():
     X = np.random.normal(0, 1, size=(3, 250)).T
     Y = np.random.normal(0, 1, size=250)