minor...

modules/deeplearning/icing_cnn.py

@@ -308,7 +308,7 @@ class IcingIntensityNN:
         print('num test samples: ', tst_idxs.shape[0])
         print('setup_pipeline: Done')
 
-    def setup_test_pipeline(self, filename, seed=None):
+    def setup_test_pipeline(self, filename, seed=None, shuffle=False):
         self.filename_tst = filename
         self.h5f_tst = h5py.File(filename, 'r')
 
@@ -317,7 +317,8 @@ class IcingIntensityNN:
         self.num_data_samples = len(tst_idxs)
         if seed is not None:
             np.random.seed(seed)
-        np.random.shuffle(tst_idxs)
+        if shuffle:
+            np.random.shuffle(tst_idxs)
 
         self.get_test_dataset(tst_idxs)