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Scoring Error

Solved!
AaronCrouch
Level 3
Scoring Error

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?

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1 Solution
AaronCrouch
Level 3
Author

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.

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4 Replies
tgb417
Neuron
Neuron

@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?

--Tom
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AaronCrouch
Level 3
Author

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.

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tgb417
Neuron
Neuron

@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.

--Tom
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AaronCrouch
Level 3
Author

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.

View solution in original post