diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index 5dd8219ff51fbdffc876e6f1f8ea5a16636f644e..a20c5c48fa71b973194d507a8c1dafa55440d8cd 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -418,7 +418,7 @@ class IcingIntensityNN:
         momentum = 0.99
 
         num_filters = 16
-        # num_filters = 10
+        # num_filters = 12
 
         conv = tf.keras.layers.Conv2D(num_filters, 5, strides=[1, 1], padding=padding, activation=activation)(self.inputs[0])
         conv = tf.keras.layers.MaxPool2D(padding=padding)(conv)
@@ -861,7 +861,7 @@ class IcingIntensityNN:
         self.restore(ckpt_dir)
 
     def run_evaluate(self, filename, ckpt_dir):
-        data_dct, ll, cc = make_for_full_domain_predict(filename)
+        data_dct, ll, cc = make_for_full_domain_predict(filename, name_list=train_params)
         self.setup_eval_pipeline(data_dct, len(ll))
         self.build_model()
         self.build_training()