added warning (INLA experimental)

Author: Michal-Novomestsky

pymc_extras/inference/INLA/inla.py

@@ -1,3 +1,5 @@
+import warnings
+
 import arviz as az
 import pymc as pm
 
@@ -83,6 +85,10 @@ def fit_INLA(
             [3.48732847 0.35738072 1.46851421]
 
     """
+    warnings.warn(
+        "INLA is currently experimental. Please see the INLA Roadmap for more info: https://github.com/pymc-devs/pymc-extras/issues/340.",
+        UserWarning,
+    )
     model = pm.modelcontext(model)
 
     # Get the TensorVariable if Q is provided as an RV

tests/inference/INLA/test_inla.py

@@ -26,6 +26,7 @@ def rng():
     return np.random.default_rng(seed)
 
 
+@pytest.mark.filterwarnings(r"ignore:INLA is currently experimental")
 def test_3_layer_normal(rng):
     """
     Test INLA against a simple toy problem: