From cb931de052d16cf6d4a85a93a38d97b4d115e6f5 Mon Sep 17 00:00:00 2001 From: dlagul Date: Fri, 23 Oct 2020 17:40:46 +0800 Subject: [PATCH] Update README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index eac4018..a030d98 100644 --- a/README.md +++ b/README.md @@ -8,19 +8,19 @@ SDFVAE is a robust and noisy-resilient anomaly detection method based on static ### Data preprocessing 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 -**Please refer to "data_preprocessing_scripts.txt" for some details.** +**Please refer to "data_preprocess/data_preprocessing_scripts.txt" for some details.** ### Training 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 -**The detailed commands are given in "sdfvae_scripts.txt".** +**The detailed commands are given in "sdfvae/sdfvae_scripts.txt".** ### Testing 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 & -**Refer to "sdfvae_scripts.txt" for details.** +**Refer to "sdfvae/sdfvae_scripts.txt" for details.** ### Evaluation 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 & -**Please refer to "sdfvae_scripts.txt".** +**Please refer to "sdfvae/sdfvae_scripts.txt".** ## Training Losses We give the example of SDFVAE training Losses on VoD1 dataset, the figure is in the directory named "training_losses".
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