datatype change for newer numpy version

pybasicbayes/distributions/dynamic_glm.py

@@ -167,7 +167,7 @@ class Dynamic_GLM(GibbsSampling):
 
         # R is the variance on the observations in Kalman filtering. According to Windle, that is 1 / omega here
         self.R = np.zeros(total_types)
-        mask = np.ones(total_types, dtype=np.bool)
+        mask = np.ones(total_types, dtype=bool)
         mask[fake_times] = False  # during fake times, we make no observations, so no variance
         self.R[mask] = 1 / omega