diff --git a/RELEASE-NOTES.md b/RELEASE-NOTES.md
index 1abc3e2315..b10deb2832 100644
--- a/RELEASE-NOTES.md
+++ b/RELEASE-NOTES.md
@@ -4,6 +4,10 @@
 ## PyMC 3.5 (Unreleaased)
 
 
+### New features
+
+- Add `check_test_point` method to `pm.Model`
+
 ### Fixes
 
 - Fixed `KeyError` raised when only subset of variables are specified to be recorded in the trace.
diff --git a/pymc3/model.py b/pymc3/model.py
index 24e7b5d477..1f8603b4b4 100644
--- a/pymc3/model.py
+++ b/pymc3/model.py
@@ -5,6 +5,7 @@
 import six
 
 import numpy as np
+from pandas import Series
 import scipy.sparse as sps
 import theano.sparse as sparse
 from theano import theano, tensor as tt
@@ -1000,6 +1001,27 @@ def flatten(self, vars=None, order=None, inputvar=None):
         flat_view = FlatView(inputvar, replacements, view)
         return flat_view
 
+    def check_test_point(self, test_point=None, round_vals=2):
+        """Checks log probability of test_point for all random variables in the model.
+
+        Parameters
+        ----------
+        test_point : Point
+            Point to be evaluated.
+            if None, then all model.test_point is used
+        round_vals : int
+            Number of decimals to round log-probabilities
+
+        Returns
+        -------
+        Pandas Series
+        """
+        if test_point is None:
+            test_point = self.test_point
+
+        return Series({RV.name:np.round(RV.logp(self.test_point), round_vals) for RV in self.basic_RVs}, 
+            name='Log-probability of test_point')
+
     def _repr_latex_(self, name=None, dist=None):
         tex_vars = []
         for rv in itertools.chain(self.unobserved_RVs, self.observed_RVs):