diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 631f6e8406fde89b415765b06b97f48a42bbf3d7..3c1b28116f744e66d88ef4fc125b345262da412d 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -1373,6 +1373,23 @@ def analyze_5cat(file):
         [precision_0, precision_1, precision_2], [mcc_0, mcc_1, mcc_2], lbls, pred
 
 
+# Fig, ax = plt.subplots()
+# lbls = lbls.flatten()
+# pred = pred.flatten()
+# cld_prob = cld_prob.flatten()
+# cat_0 = lbls == 0
+# cat_1 = lbls == 1
+# cat_2 = lbls == 2
+# cat_3 = lbls == 3
+# cat_4 = lbls == 4
+# plt.hist(cld_prob[cat_0], log=True, histtype='step', linewidth=1.4, color='blue', label='CLR')
+# plt.hist(cld_prob[cat_1], log=True, histtype='step', linewidth=1.4, color='orange', label='1/4')
+# plt.hist(cld_prob[cat_2], log=True, histtype='step', linewidth=1.4, color='green', label='1/2')
+# plt.hist(cld_prob[cat_3], log=True, histtype='step', linewidth=1.4, color='red', label='3/4')
+# plt.hist(cld_prob[cat_4], log=True, histtype='step', linewidth=1.4, color='purple', label='CLD')
+# ax.legend(loc='upper center')
+
+
 if __name__ == "__main__":
     nn = SRCNN()
     nn.run('matchup_filename')