From 444652d2eb12c761d8d46af8e9cd2ee21315ac5e Mon Sep 17 00:00:00 2001
From: lewa <lewa@dtu.dk>
Date: Wed, 19 Apr 2023 06:12:34 +0200
Subject: [PATCH] Upload New File
---
main_run_ml_.py | 37 +++++++++++++++++++++++++++++++++++++
1 file changed, 37 insertions(+)
create mode 100644 main_run_ml_.py
diff --git a/main_run_ml_.py b/main_run_ml_.py
new file mode 100644
index 0000000..f143fba
--- /dev/null
+++ b/main_run_ml_.py
@@ -0,0 +1,37 @@
+import os
+import warnings
+warnings.filterwarnings("ignore")
+
+
+from kit.mics import *
+from kit.Machine_learning import *
+
+data_path = 'data/'
+results_path = 'results/'
+
+
+params = 'default'
+merge_list = 'no'
+names_classifiers = 'default'
+selected_material = 'all'
+
+selected_df = read_material_csv(data_path,merge_list,selected_material)
+
+#write setting to txt file
+save_folder = 'results/'
+if not os.path.exists(os.path.join(results_path,save_folder)):
+ os.makedirs(os.path.join(results_path,save_folder))
+ print('Make new folder due to directory not exist')
+
+with open(os.path.join(results_path,save_folder,'setting.txt'),'w') as f:
+ for data,name in zip([names_classifiers,selected_material,merge_list,params],['names_classifiers','selected_material','merge_list','params']):
+ f.write(name)
+ f.write('\n')
+ f.writelines(str(data))
+ f.write('\n,\n')
+ print(name,'\n',data,'\n','*'*30)
+ f.write(results_path)
+
+train_mymodel(selected_df, results_path,
+ names_classifiers=names_classifiers,
+ epochs=50,params=params,extra_cmt='default',fixseed=True)
--
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