Assertion error - getting accuracy 0%

[viral98]

self.data = [ x[0] for x in map_result ]
self.lengths = [ x[1] for x in map_result ]
Results in assertion error. I am getting ROC as 0.5 and the model is not predicting any anomalies, resulting in 0.0 as accuracy.

[amurzina]

Hi!
Thanks for giving us a feedback.
Are you running our docker image without any changes?
Or can you say what you've changed to get such results?

[viral98]

Hey!
I simply cloned the repo and tried running the jupyter notebook on my local machine.

[amurzina]

Could you explain your error in details?
Also are you sure of the same requirements to libraries and python version?
Could you run a docker container with all installed environment and try to fit the model again and get predictions one more time?

It's too little information in your messages to help repeat the results.

[viral98]

Apologies, I was trying python 3.4 whereas the project runs off 2.7. I guess that was added later on in the readme. Anyway, thanks a lot for the help!

[amurzina]

In fact it was our fault not to add a python version in the readme initially. We thought that docker image is more useful and python 2.7. is by default in a jupyter notebook there.

Thanks for your comments!