intelligentdds / swisslog Goto Github PK

Hi @humanlee1011, thank you for providing the implementation.

I am currently working with the HDFS dataset and attempting to compute sentence embeddings using the Bert Encoder. However, after reviewing the code in the repository, it appears that the current version only supports the word2vectorEncoder model for computing sentence embeddings using FastText.

I also have noticed that there is a BertEncoder.py file in the repository that is used to generate template embeddings. Can I use this file to extract semantic information for log sentences in the same way that is done in word2vecEncoder.py? If so, could you please provide guidance or documentation on how to implement this using the BertEncoder.py file?

Thanks

I found that most of these datasets do not have labels. How is the accuracy calculated

Hello, thank you for publishing the code of your paper. I played around with the code, and I was wondering if there is a way for extracting the parameters from the loglines? As for now I can see the code is only matching a logline to a template, but it does not extract the parameters. Thank you in advance!

How can I use parsed data in anomaly detection? I tried to handle it myself, but the model test results were not satisfactory

Thank you for your good work. It looks SwissLog is a method of supervised learning. Pls correct me if I'm wrong.

Hi @humanlee1011, thank you for providing the implementation.

when I try to run perf_train.py,the program shows" can not find hdfs_sentence2vec.pkl",and I cannot find the code which generate the file.

While installing packages in the requirements.txt file, it raises an error in the colab.
Please note that I have used a mini-conda environment with a python version of 3.7
Here is the error:
ERROR: Ignored the following versions that require a different python version: 1.6.2 Requires-Python >=3.7,<3.10; 1.6.3 Requires-Python >=3.7,<3.10; 1.7.0 Requires-Python >=3.7,<3.10; 1.7.1 Requires-Python >=3.7,<3.10
ERROR: Could not find a version that satisfies the requirement torch==1.1.0 (from versions: 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0, 2.0.1)
ERROR: No matching distribution found for torch==1.1.0