Reactivate normalize_y and improve hidden constant values

These parameters will soon be converted into CLI parameters such that
the user is able to set them. Until then they will be set to more plausible
values.

tune/cli.py

@@ -281,7 +281,7 @@ def local(  # noqa: C901
     random_state = np.random.RandomState(np.random.MT19937(ss.spawn(1)[0]))
     gp_kwargs = dict(
         # TODO: Due to a bug in scikit-learn 0.23.2, we set normalize_y=False:
-        normalize_y=False,
+        normalize_y=True,
         warp_inputs=settings.get("warp_inputs", warp_inputs),
     )
     opt = Optimizer(
@@ -292,7 +292,7 @@ def local(  # noqa: C901
         gp_kwargs=gp_kwargs,
         # gp_priors=priors,  # TODO: Let user pass in priors
         acq_func=settings.get("acq_function", acq_function),
-        acq_func_kwargs=dict(alpha="inf", n_thompson=20),
+        acq_func_kwargs=dict(alpha=1.96, n_thompson=500),
         random_state=random_state,
     )
     X = []