Scoring Error

[AaronCrouch]

I am encountering an error in the scoring recipe over the last few days. I have already reverted my flow to the way it was the day before the error started, and I have retrained my model, the error still occurs. The relevant section of the logs is attached. Can anyone see what is causing the error?

[tgb417]

@AaronCrouch 

In a quick look.  It appears that you might have run out of Memory.

[2021/03/31-14:37:13.035] [null-err-42] [INFO] [dku.utils] - return np.zeros(self.shape, dtype=self.dtype, order=order)
[2021/03/31-14:37:13.036] [null-err-42] [INFO] [dku.utils] - MemoryError
[2021/03/31-14:37:14.831] [FRT-35-FlowRunnable] [WARN] [dku.resource] - stat file for pid 71956 does not exist. Process died?

Given that you have reverted back to a known good model.  If input data has not changed in any significant way.

Then all I have to offer is that I had a similar problem a little while back. I went back to the OS of the Dataiku Design node I was working on and eventually discovered that the available memory had gotten low.  After further investigation, I also discovered that we had a bunch of Python-based Jupyter Notebooks with large datasets loaded that were consuming a majority of the working RAM memory on our little design node.  Could that be related to your problem?

That's all I got.  Good luck.  Maybe a support ticket is warranted?

[AaronCrouch]

That makes a lot of sense. This started around the time I took the certification exams, and it involved uploading a massive amount of data to my server. Just deleted all of the exam files and I am still getting an error. Perhaps it is worth a support ticket.

[tgb417]

@AaronCrouch ,

In my case, the problem was not files on disk.  But, large Jupyter Notebooks in RAM Memory with large datasets loaded into panda's data frames.

[AaronCrouch · Accepted solution]

I have no Jupyter Notebooks running, but it was indeed RAM memory. I had to turn off individual explanations to get it to run, and we are working to add more RAM so we can use the explanations again.