Failed to load algorithm mltkc.MLTKContainer.

[williame]

I am trying to set up Deep Learning toolkit on Splunk Cloud using Azure Kubernetes Service. I am able to connect to the containers and launch jupyter notebook, however when I try to execute an example model, the following error message is recieved,

Error in 'fit' command: Error while initializing algorithm "MLTKContainer": Failed to load algorithm "mltkc.MLTKContainer".

The algorithm that is used in the example is present in the app/models folder in the Jupyter notebook.

Any thoughts on what might be wrong here?

[williame]

UPDATE: I checked the search log and it looks like there is a bug:

11-30-2021 09:50:56.490 ERROR ChunkedExternProcessor [8184 ChunkedExternProcessorStderrLogger] - stderr: ImportError: cannot import name 'splitattr' from 'urllib.request' (/opt/splunk/etc/apps/Splunk_SA_Scientific_Python_linux_x86_64/bin/linux_x86_64/lib/python3.8/urllib/request.py)

This is the search.log file from the Error: 

https://pastebin.com/irFnXiBr

[williame]

UPDATE: Tried running DLTK version 3.7.0 on an Enterprise instance, since only 3.6.0 is available for Splunk Cloud. This fixed the issue.

So currently we managed to run DLTK successfully on Splunk Enterprise, but we are still looking for a solution for Splunk Cloud, since 3.7.0 is not available yet. Seems like the problem is a deprecated module imported in mltkc/MLTKContainer.py (urllib.request.splitattr now found in urllib.parse or under a new name?).