From 3d61f41abf1e6967a288c48ce73a21ea1f893307 Mon Sep 17 00:00:00 2001
From: Desi <wyrzykala@sengi.de>
Date: Tue, 4 Feb 2025 20:51:20 +0100
Subject: [PATCH] merge with main delete prints
---
src/models/desi/call_poly.py | 7 +++++--
src/run_model_wrapper.py | 12 ++++++------
2 files changed, 11 insertions(+), 8 deletions(-)
diff --git a/src/models/desi/call_poly.py b/src/models/desi/call_poly.py
index 6309708..8e78309 100644
--- a/src/models/desi/call_poly.py
+++ b/src/models/desi/call_poly.py
@@ -8,7 +8,7 @@ from src.run_model_wrapper import main
#optimal hyperparameters from autors: 'POLY': {'periodicity': 1, 'power': 4}
params = {
'periodicity': [1, 2, 3],
- 'power': [1, 2, 3, 4,5,7]
+ 'power': [1, 2, 3, 4,5]
}
def run_POLY(data, periodicity=1, power=3, n_jobs=1):
@@ -22,4 +22,7 @@ model = 'POLY'
output_path = '../../../docs/evaluation/'
#writes results in .csv
-main(run_POLY,params,model,data_folders = '../../../data/', model_type='unsupervised',output_dir = output_path)
\ No newline at end of file
+main(run_POLY,params,model,data_folders = '../../../data/', model_type='unsupervised',output_dir = output_path)
+
+#pip3 install -r requirements.txt
+# python src/models/desi/call_poly.py
\ No newline at end of file
diff --git a/src/run_model_wrapper.py b/src/run_model_wrapper.py
index 962618c..b72cb8d 100644
--- a/src/run_model_wrapper.py
+++ b/src/run_model_wrapper.py
@@ -261,11 +261,11 @@ def main(run_model, hyperparams, model_name, data_folders = '../../../data/', mo
#go through all files in train data and store additionally informations about group and anomaly types
grid_List = []
- print(f"Start Processing files")
+ # print(f"Start Processing files")
#reutrns [{file_name:str,train_data:list,data:list, label:list, sliding_window:int}]
file_data_dict_list = preprocess_data(path_data_all)
- print('Start Hyperparameter Tuning')
+ # print('Start Hyperparameter Tuning')
# Creates combinations of all hyperparameters
param_combinations = list(itertools.product(*hyperparams.values()))
#find hyperparametrs for each file:
@@ -278,21 +278,21 @@ def main(run_model, hyperparams, model_name, data_folders = '../../../data/', mo
# Hyperparameter-Optimierung
best_params = hyperparameter_optimization(run_model, data,label,train_data, hyperparams,sliding_window,param_combinations,model_type)
- print(f"File: {filename}, best hyperparameter: {best_params}")
+ # print(f"File: {filename}, best hyperparameter: {best_params}")
#grid_list looks like this: [{ params: {key:value}, file_name:str,train_data:list,data:list, label:list, sliding_window:int}]
grid_List.append({'file_name':filename,'params':best_params,'train_data':train_data,'data':data,'label':label,'sliding_window':sliding_window})
- print('Start Training and evaluation')
+ # print('Start Training and evaluation')
results_list = train_test_model(run_model,grid_List,path_to_folder, model_type)
#convert list of dicts to a dict with lists
results = create_dict_from_array(results_list)
#check duration time
duration = sum(results['duration'])
- print(f'Job done. Duration: {duration:.3f} seconds')
+ # print(f'Job done. Duration: {duration:.3f} seconds')
#store results for each model by folder
results_df = pd.DataFrame(results)
output_csv = os.path.join(output_dir,model_name + '.csv')
results_df.to_csv(output_csv, index=False)
- print(f"Ergebnisse gespeichert in: {output_csv}")
+ # print(f"Ergebnisse gespeichert in: {output_csv}")
--
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