snapshot...

modules/deeplearning/cloud_fraction_fcn_viirs.py

@@ -1053,6 +1053,20 @@ def analyze_5cat(file):
 # cm = confusion_matrix(lbls.flatten(), pred.flatten())
 # plot_confusion_matrix(cm, ['CLR', '1/4', '1/2', '3/4', 'CLD'], normalize=True, axis=0)
 
+# 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')
+# plt.hist(cld_prob[cat_1], log=True, histtype='step')
+# plt.hist(cld_prob[cat_2], log=True, histtype='step')
+# plt.hist(cld_prob[cat_3], log=True, histtype='step')
+# plt.hist(cld_prob[cat_4], log=True, histtype='step')
+
 # from deeplearning.cloud_fraction_fcn_viirs import run_evaluate_static
 # run_evaluate_static('/Users/tomrink/clavrx_VNP02IMG.A2019306.1912.001.2019307003236.uwssec.nc',
 # '/Users/tomrink/cld_frac_A2019306.1912', '/Users/tomrink/tf_model_cld_frac_viirs/run-20230421193944/')