dotnet / dotnet/machinelearning-samples
Featurization for model recommender looks weird for me.
Open
- Dominant language
- PowerShell
- Stars
- 4.7k
- Forks
- 2.7k
- Avg merge
- 2d 22h
- Merged PRs (30d)
- 1
Description
https://github.com/dotnet/machinelearning-samples/blob/17b7a4a2a188c03a052e1a39a95e61652c3b8055/samples/csharp/end-to-end-apps/Recommendation-MovieRecommender/MovieRecommender_Model/Program.cs#L51
I don't get why user need to apply FeaturizeText on basically ids.
Why it's not onehotencoding?
Contributor guide
Assessment
This issue has not been assessed yet.