From 268608b44da01d91510ec142eaf683ab2dcff07c Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 19 May 2021 15:50:04 -0500
Subject: [PATCH] minor...
---
modules/deeplearning/icing_cnn.py | 21 ---------------------
1 file changed, 21 deletions(-)
diff --git a/modules/deeplearning/icing_cnn.py b/modules/deeplearning/icing_cnn.py
index df10aa05..86e4dea0 100644
--- a/modules/deeplearning/icing_cnn.py
+++ b/modules/deeplearning/icing_cnn.py
@@ -633,17 +633,6 @@ 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))
-
f1, mcc = self.get_metrics()
with self.writer_valid.as_default():
@@ -677,16 +666,6 @@ class IcingIntensityNN:
for mini_batch in ds:
self.test_step(mini_batch)
- # recall = self.test_recall.result().numpy()
- # precsn = self.test_precision.result().numpy()
- # f1 = 2 * (precsn * recall) / (precsn + recall)
- #
- # tn = self.test_true_neg.result().numpy()
- # tp = self.test_true_pos.result().numpy()
- # fn = self.test_false_neg.result().numpy()
- # fp = self.test_false_pos.result().numpy()
- #
- # mcc = ((tp*tn)-(fp*fn))/np.sqrt((tp+fp)*(tp+fn)*(tn+fp)*(tn+fn))
f1, mcc = self.get_metrics()
print('loss, acc, recall, precision, auc, f1, mcc: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(),
--
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