Update release note

Author: ricardoV94

RELEASE-NOTES.md

@@ -29,7 +29,7 @@ It also brings some dreadfully awaited fixes, so be sure to go through the chang
 - Fixed mathematical formulation in `MvStudentT` random method. (see [#4359](https://github.com/pymc-devs/pymc3/pull/4359))
 - Fix issue in `logp` method of `HyperGeometric`. It now returns `-inf` for invalid parameters (see [4367](https://github.com/pymc-devs/pymc3/pull/4367))
 - Fixed `MatrixNormal` random method to work with parameters as random variables. (see [#4368](https://github.com/pymc-devs/pymc3/pull/4368))
-- Fix issue in `logcdf` methods of `Uniform`, `HalfNormal`, `Gamma`  and `InverseGamma`. These functions now return correct values when evaluated with invalid parameters or values (see [4393](https://github.com/pymc-devs/pymc3/pull/4393))
+- Update the `logcdf` method of several continuous distributions to return -inf for invalid parameters and values, and raise informative errors when multiple values cannot be evaluated. (see [4393](https://github.com/pymc-devs/pymc3/pull/4393))
 
 ## PyMC3 3.10.0 (7 December 2020)
 

pymc3/distributions/continuous.py

@@ -3560,7 +3560,6 @@ def logcdf(self, value):
         l = self.lower
         u = self.upper
         c = self.c
-
         return tt.switch(
             tt.le(value, l),
             -np.inf,