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I am running sklearn's cross-validate method, to iterate through different models, and generate summary scores table.
From time to time, I am getting the following message in console:
At the same time, artifacts ( such as matplotlib plots, summary tables) are getting uploaded into the server.
Can you please give me a hint what this error message indicates and how I can get rid of it?
UPD:
during one experiment, process seems to get stuck due to the error above.
It continuously shows an exception after training one of the models without going any further.
To reproduce
Exact steps to reproduce the bug. Provide example code if possible.
Expected behaviour
What is the expected behaviour? What should've happened but didn't?
Environment
Server type - self hosted
ClearML SDK Version
ClearML Server Version 1.9.2-317
Python Version 3.10.5
OS Linux
Related Discussion
If this continues a slack thread, please provide a link to the original slack thread.
Did you deploy openresty in front of the ClearML server? This seems like a network error from openresty limiting the size of uploaded objects (just like nginx does)
Describe the bug
I am running sklearn's cross-validate method, to iterate through different models, and generate summary scores table. From time to time, I am getting the following message in console:
At the same time, artifacts ( such as matplotlib plots, summary tables) are getting uploaded into the server.
Can you please give me a hint what this error message indicates and how I can get rid of it?
UPD: during one experiment, process seems to get stuck due to the error above. It continuously shows an exception after training one of the models without going any further.
To reproduce
Exact steps to reproduce the bug. Provide example code if possible.
Expected behaviour
What is the expected behaviour? What should've happened but didn't?
Environment
Related Discussion
If this continues a slack thread, please provide a link to the original slack thread.