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View Code? Open in Web Editor NEWPyTorch implements "DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning"
PyTorch implements "DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning"
Sir, Thank you for this implementation of Deeplog.
i am using this work for further research in this work.
when executing the existing code,
the preprocess output eventid results as 1145
and once training completed, the prediction module results, precision:0, so divide by zero error.
Kindly request to support.
Svaridasan.P
Lines 79 to 82 in 0c3cbb4
Shouldn't it be the other way around?
elif p == 0 and t == 1:
TN +=1
else:
FN += 1
great work,
Paper contains following features:
logKey
based prediction of next key (= log key path stacked LSTM based prediction)log Parameter
based prediction of next parameter (= log parameters LSTM based prediction)Workflow
clustering based creation.In the end your output is sequences how can we convert it back into log statements instead digits of sequences?
Minor Note: You've implemented only LogKeys
path finding what about others?
Nice work!
But I still got some questions
Thanks
Hey, thank you for you this implementation. I wonder if this is complete? Did you implement the three models or just the log key model?
I runned the code in colab https://colab.research.google.com/drive/1xWHovxTkysiPei68bTywqB2oCo6JelAU?usp=sharing#scrollTo=f8xH9L33cWL0, twice.
The result changed
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