Delete scripts.txt

sdfvae/scripts.txt

-# Scripts
-
-# 1. Data Preprocessing
-
-# OPTIONS 
-# raw_data_file: KPI data file
-# label_file: The corresponding ground-truth file
-# train_data_path: The path of the preprocessed training set  
-# test_data_path: The path of the preprocessed testing set
-# test_start_time: The data later than this timestamp is considered as the testing data
-
-# VoD1
-python data_preprocess.py --raw_data_file data/vod1-data.csv --label_file data/vod1-label.csv --train_data_path data_processed/vod1-train --test_data_path data_processed/vod1-test --test_start_time 20181107000000
-
-# Live
-python data_preprocess.py --raw_data_file data/live-data.csv --label_file data/live-label.csv --train_data_path data_processed/live-train --test_data_path data_processed/live-test --test_start_time 20181120121500
-
-# Machine-1-1
-python data_preprocess.py --raw_data_file data/machine-1-1-data.csv --label_file data/machine-1-1-label.csv --train_data_path data_processed/machine-1-1-train --test_data_path data_processed/machine-1-1-test --test_start_time 20190923005800
-
-# Machine-1-5
-python data_preprocess.py --raw_data_file data/machine-1-5-data.csv --label_file data/machine-1-5-label.csv --train_data_path data_processed/machine-1-5-train --test_data_path data_processed/machine-1-5-test --test_start_time 20190919162400
-
-
-# 2. Training, Testing and Evaluation
-# OPTIONS
-# dataset_path: The path of the processed training or testing dataset
-# data_nums: The size of training or testing dataset
-# checkpoints_path: The path to store the trained models
-# n: The number of KPIs 
-# start_epoch: The model with corresponding training epochs will be resumed for testing, default is 30
-#              Set it to 40 please, if you want to test the model which trained 40 epochs 
-# llh_path: The path of log-likelihood (anomaly score) file output by testing
-
-# VoD1
-python trainer.py --dataset_path ../data_preprocess/data_processed/vod1-train --data_nums 10430 --gpu_id 0 --log_path log_trainer/vod1 --checkpoints_path model/vod1 --n 24  
-nohup python tester.py --dataset_path ../data_preprocess/data_processed/vod1-test --data_nums 11690 --gpu_id 0 --log_path log_tester/vod1 --checkpoints_path model/vod1 --n 24 --start_epoch 30 2>&1 &
-nohup python evaluation.py --llh_path log_tester/vod1 --log_path log_evaluator/vod1 --n 24 --start_epoch 30 2>&1 &
-
-# Live
-python trainer.py --dataset_path ../data_preprocess/data_processed/live-train --data_nums  7582 --gpu_id 0 --log_path log_trainer/live --checkpoints_path model/live --n 48  
-nohup python tester.py --dataset_path ../data_preprocess/data_processed/live-test --data_nums 7800 --gpu_id 0 --log_path log_tester/live --checkpoints_path model/live --n 48 --start_epoch 30 2>&1 &
-nohup python evaluation.py --llh_path log_tester/live --log_path log_evaluator/live --n 48 --start_epoch 30 2>&1 &
-
-# Machine-1-1
-python trainer.py --dataset_path ../data_preprocess/data_processed/machine-1-1-train --data_nums  28253 --gpu_id 0 --log_path log_trainer/machine-1-1 --checkpoints_path model/machine-1-1 --n 38  
-nohup python tester.py --dataset_path ../data_preprocess/data_processed/machine-1-1-test --data_nums 28469 --gpu_id 0 --log_path log_tester/machine-1-1 --checkpoints_path model/machine-1-1 --n 38 --start_epoch 30 2>&1 &
-nohup python evaluation.py --llh_path log_tester/machine-1-1 --log_path log_evaluator/machine-1-1 --n 38 --start_epoch 30 2>&1 &
-
-# Machine-1-5
-python trainer.py --dataset_path ../data_preprocess/data_processed/machine-1-5-train --data_nums  23480 --gpu_id 0 --log_path log_trainer/machine-1-5 --checkpoints_path model/machine-1-5 --n 38  
-nohup python tester.py --dataset_path ../data_preprocess/data_processed/machine-1-5-test --data_nums 23695 --gpu_id 0 --log_path log_tester/machine-1-5 --checkpoints_path model/machine-1-5 --n 38 --start_epoch 30 2>&1 &
-nohup python evaluation.py --llh_path log_tester/machine-1-5 --log_path log_evaluator/machine-1-5 --n 38 --start_epoch 30 2>&1 &