From 49e2a5a950634d1abd41306a1afac5410975f08f Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Fri, 4 Feb 2022 13:33:43 -0600
Subject: [PATCH] snapshot...
---
modules/icing/pirep_goes.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/icing/pirep_goes.py b/modules/icing/pirep_goes.py
index c5c23f86..5a6b069f 100644
--- a/modules/icing/pirep_goes.py
+++ b/modules/icing/pirep_goes.py
@@ -2075,7 +2075,7 @@ def analyze(preds_file, test_file='/Users/tomrink/data/icing_ml/tiles_2021092400
print(np.nanmean(cld_dz[(nda == 4) & true_no_ice]), np.nanmean(cld_hgt[(nda == 4) & true_no_ice]))
-def get_training_parameters(day_night='DAY', l1b_andor_l2='BOTH'):
+def get_training_parameters(day_night='DAY', l1b_andor_l2='both'):
if day_night == 'DAY':
train_params_l2 = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction',
'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp']
@@ -2090,7 +2090,7 @@ def get_training_parameters(day_night='DAY', l1b_andor_l2='BOTH'):
train_params_l1b = ['temp_10_4um_nom', 'temp_11_0um_nom', 'temp_12_0um_nom', 'temp_13_3um_nom', 'temp_3_75um_nom',
'temp_6_2um_nom', 'temp_6_7um_nom', 'temp_7_3um_nom', 'temp_8_5um_nom', 'temp_9_7um_nom']
- if l1b_andor_l2 == 'BOTH':
+ if l1b_andor_l2 == 'both':
train_params = train_params_l1b + train_params_l2
elif l1b_andor_l2 == 'l1b':
train_params = train_params_l1b
--
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