minor...

modules/deeplearning/icing_cnn.py

@@ -512,7 +512,7 @@ class IcingIntensityNN:
         self.test_accuracy(labels, pred)
         if NumClasses == 2:
             self.test_auc(labels, pred)
-            self.test_f1(labels, pred)
+            #self.test_f1(labels, pred)
             self.test_recall(labels, pred)
             self.test_precision(labels, pred)
 
@@ -528,7 +528,7 @@ class IcingIntensityNN:
         self.test_loss(t_loss)
         self.test_accuracy(labels, pred)
         self.test_auc(labels, pred)
-        self.test_f1(labels, pred)
+        #self.test_f1(labels, pred)
         self.test_recall(labels, pred)
         self.test_precision(labels, pred)
 
@@ -585,7 +585,7 @@ class IcingIntensityNN:
                             tf.summary.scalar('loss_val', self.test_loss.result(), step=step)
                             tf.summary.scalar('acc_val', self.test_accuracy.result(), step=step)
                             tf.summary.scalar('auc_val', self.test_auc.result(), step=step)
-                            tf.summary.scalar('f1_val', self.test_f1.result(), step=step)
+                            # tf.summary.scalar('f1_val', self.test_f1.result(), step=step)
                             tf.summary.scalar('recall_val', self.test_recall.result(), step=step)
                             tf.summary.scalar('prec_val', self.test_precision.result(), step=step)
                             tf.summary.scalar('num_train_steps', step, step=step)