linkedin / linkedin/detext

how to generate wide sparse features

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Dominant language
Python
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Description

Hi,I'm confused about how to generate the wide sparse features. Here is my understanding: combine the multi field categorical features together and form the multi hot sparse feature. then the index is generated by hash value or simliar way like the labelencode way?

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Research direction

The issue names no file, test, or entry point. Start by locating the Python code that constructs wide sparse features and tracing how multi-field categorical inputs become indexed features; done should include a clear explanation of that process in the project documentation.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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