snapshot...

modules/deeplearning/icing_fcn.py

@@ -1175,7 +1175,7 @@ def run_evaluate_static_2(model, data_dct, num_tiles, prob_thresh=0.5, flight_le
     return preds_dct, probs_dct
 
 
-def run_evaluate_static_avg(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BOTH', use_flight_altitude=False):
+def run_averaged_models(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BOTH', use_flight_altitude=False):
 
     ckpt_dir_s = os.listdir(ckpt_dir_s_path)
     weight_s = []
@@ -1197,7 +1197,7 @@ def run_evaluate_static_avg(ckpt_dir_s_path, day_night='NIGHT', l1b_andor_l2='BO
     new_model.build_training()
     new_model.build_evaluation()
 
-    # -- save the averaged weights to a new the model
+    # -- Save the averaged weights to a new the model
     if not os.path.exists(modeldir):
         os.mkdir(modeldir)
     ckpt = tf.train.Checkpoint(step=tf.Variable(1), model=new_model.model)