Distributed training
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- Python
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Description
Hello!
I have a huge dataset which can not be fitted on a single machine and data has much more users than items. Now I'm thinking about training LightFm on cluster. How can I do it?
Can I train LightFm on nodes using only interactions for subset of users and update vector representations as mean of nodes vectors? Is there a way to do it better?
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Research direction
The issue does not identify a file, test, or entry point. First review the existing training implementation and determine the intended distributed-training design; done would require an agreed approach and clear implementation and validation scope.
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Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100