minor...

modules/deeplearning/icing_cnn.py

@@ -294,10 +294,14 @@ class IcingIntensityNN:
         if trn_idxs is None:
             time = self.h5f_trn['time']
             trn_idxs = np.arange(time.shape[0])
+            if seed is not None:
+                np.random.seed(seed)
             np.random.shuffle(trn_idxs)
 
             time = self.h5f_tst['time']
             tst_idxs = np.arange(time.shape[0])
+            if seed is not None:
+                np.random.seed(seed)
             np.random.shuffle(tst_idxs)
 
         self.num_data_samples = trn_idxs.shape[0]