minor...

modules/deeplearning/icing_cnn.py

@@ -617,12 +617,25 @@ class IcingIntensityNN:
                             for mini_batch_test in tst_ds:
                                 self.test_step(mini_batch_test)
 
+                        recall = self.test_recall.result()
+                        precsn = self.test_precision.result()
+                        f1 = 2 * (precsn * recall) / (precsn + recall)
+
+                        tn = self.test_true_neg.result()
+                        tp = self.test_true_pos.result()
+                        fn = self.test_false_neg.result()
+                        fp = self.test_false_pos.result()
+
+                        mcc = ((tp * tn) - (fp * fn)) / np.sqrt((tp + fp) * (tp + fn) * (tn + fp) * (tn + fn))
+
                         with self.writer_valid.as_default():
                             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('recall_val', self.test_recall.result(), step=step)
                             tf.summary.scalar('prec_val', self.test_precision.result(), step=step)
+                            tf.summary.scalar('f1_val', f1, step=step)
+                            tf.summary.scalar('mcc_val', mcc, step=step)
                             tf.summary.scalar('num_train_steps', step, step=step)
                             tf.summary.scalar('num_epochs', epoch, step=step)