snapshot...

modules/machine_learning/classification.py

@@ -88,7 +88,7 @@ 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]
+    # icing_df = icing_df[icing_df.cld_temp_acha < 273.10]
 
     x = np.asarray(icing_df[params])
     if standardize: