snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -62,7 +62,7 @@ IMG_DEPTH = 1
 label_param = 'cld_opd_dcomp'
 # label_param = 'cloud_probability'
 
-params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', label_param]
+params = ['temp_11_0um_nom', 'refl_0_65um_nom', label_param]
 data_params_half = ['temp_11_0um_nom']
 data_params_full = ['refl_0_65um_nom']
 
@@ -665,10 +665,6 @@ class SRCNN:
         self.writer_valid.close()
         self.writer_train_valid_loss.close()
 
-        # f = open(home_dir+'/best_stats_'+now+'.pkl', 'wb')
-        # pickle.dump((best_test_loss, best_test_acc, best_test_recall, best_test_precision, best_test_auc, best_test_f1, best_test_mcc), f)
-        # f.close()
-
     def build_model(self):
         self.build_srcnn()
         self.model = tf.keras.Model(self.inputs, self.logits)