From 9e91446bf8e63af189bd0a31e23a8c7205bf91ce Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 6 May 2024 13:26:04 -0500
Subject: [PATCH] snapshot...
---
modules/machine_learning/classification.py | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/modules/machine_learning/classification.py b/modules/machine_learning/classification.py
index c5f97d62..fcbf6c26 100644
--- a/modules/machine_learning/classification.py
+++ b/modules/machine_learning/classification.py
@@ -15,8 +15,7 @@ import sklearn.tree as tree
from sklearn.tree import export_graphviz
# The independent variables (features) we want to use:
-params = ['cld_temp_acha', 'conv_cloud_fraction', 'supercooled_cloud_fraction', 'cld_reff_dcomp',
- 'cld_opd_dcomp', 'cld_cwp_dcomp']
+params = ['cld_temp_acha', 'supercooled_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'cld_cwp_dcomp']
def metrics(y_true, y_pred, y_pred_prob=None):
@@ -89,6 +88,8 @@ def get_feature_target_data(csv_file, reduce_frac=1.0, random_state=42, standard
icing_df = icing_df.dropna()
print('NaN removed num obs, features: ', icing_df.shape)
+ # icing_df = icing_df[icing_df.cld_temp_acha < 273.5]
+
x = np.asarray(icing_df[params])
if standardize:
x = preprocessing.StandardScaler().fit(x).transform(x)
--
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