From 929fb56fb9230656e579c22da5de759028ed5be6 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 20 Feb 2023 13:58:43 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn_cld_frac.py | 13 +++++++++----
1 file changed, 9 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/srcnn_cld_frac.py b/modules/deeplearning/srcnn_cld_frac.py
index d6d4658d..3cf7d5bd 100644
--- a/modules/deeplearning/srcnn_cld_frac.py
+++ b/modules/deeplearning/srcnn_cld_frac.py
@@ -968,11 +968,16 @@ def analyze(file='/Users/tomrink/cld_opd_frac.npy'):
mcc_1 = ((tp_1 * tn_1) - (fp_1 * fn_1)) / np.sqrt((tp_1 + fp_1) * (tp_1 + fn_1) * (tn_1 + fp_1) * (tn_1 + fn_1))
mcc_2 = ((tp_2 * tn_2) - (fp_2 * fn_2)) / np.sqrt((tp_2 + fp_2) * (tp_2 + fn_2) * (tn_2 + fp_2) * (tn_2 + fn_2))
- print(recall_0, precision_0, mcc_0)
- print(recall_1, precision_1, mcc_1)
- print(recall_2, precision_2, mcc_2)
+ acc_0 = np.sum(lbls_0_1 == pred_0_1)/pred_0_1.size
+ acc_1 = np.sum(lbls_1_2 == pred_1_2)/pred_1_2.size
+ acc_2 = np.sum(lbls_0_2 == pred_0_2)/pred_0_2.size
- return cm_0_1, cm_1_2, cm_0_2
+ print(acc_0, recall_0, precision_0, mcc_0)
+ print(acc_1, recall_1, precision_1, mcc_1)
+ print(acc_2, recall_2, precision_2, mcc_2)
+
+ return cm_0_1, cm_1_2, cm_0_2, [acc_0, acc_1, acc_2], [recall_0, recall_1, recall_2],\
+ [precision_0, precision_1, precision_2], [mcc_0, mcc_1, mcc_2]
if __name__ == "__main__":
--
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