Jashwanth01

7 ms·

1. 1.▲
   by Jashwanth01 7mo ago

   A few days ago I shared SmartKNN. I’ve now added full benchmark results. I ran regression and classification benchmarks on multiple OpenML datasets. Everything was run on Kaggle CPU (no GPU). What I measured: 1. 3-fold CV metrics 2. Test me
2. 2.▲
   by Jashwanth01 7mo ago

   Haha fair.. Yeah, that's a valid point. I'll work on adding some graphs soon to make the benchmarks easier to read.. And I'll add a few clearer real-world examples too so the tradeoffs are more obvious. Thanks for the suggest
3. 3.▲
   by Jashwanth01 7mo ago

   Good Point.. Right Now the benchmarks are mostly tables, So I agree graphs would be much better to understand.. I'll work on adding Visuals( accuracy vs latency, maybe memory too ) similar to ann-benchmarks style. If you've got a
4. 4.▲
   by Jashwanth01 8mo ago

   That’s a fair question... I wrote the implementation and experiments myself. I did use an LLM to refine and structure the README for clarity, but the design, benchmarking, and validation are my own... By (production ready), I mean the syste
5. 5.▲
   What I learned while trying to build a production-ready nearest neighbor system(github.com)

   23 points by Jashwanth01 8mo ago|14 comments
6. 6.▲
   by Jashwanth01 8mo ago

   When I first learned about KNN, I assumed the implementation in scikit-learn was essentially the model. It felt “solved.” You pick k, choose a distance metric, maybe normalize the data, and you’re done. Then I started asking a simple questi
7. 7.▲
   by Jashwanth01 8mo ago

   Thanks for clarifying... I appreciate you taking the time to explain. I understand the sensitivity around spam lately. I’m new here and still learning the culture, so the context helps a lot. I’ll take the feedback on presentation and posit
8. 8.▲
   by Jashwanth01 8mo ago

   Thanks for pointing that out.. I appreciate it. I’m still learning how HN submissions work and didn’t realize how reposts are handled here. I’ll be more careful going forward. Thanks for the clarification.
9. 9.▲
   Smart-KNN: A production-focused, feature-weighted KNN optimized for CPU(github.com)

   1 points by Jashwanth01 8mo ago|5 comments
10. 10.▲
    by Jashwanth01 8mo ago

    Hi HN, I’ve been working on SmartKNN, a nearest-neighbor system designed specifically for production deployment rather than academic experimentation. The goal was not to slightly tweak classical KNN, but to restructure it into a deployable,
11. 11.▲
    by Jashwanth01 8mo ago

    Thanks for the feedback.. that makes sense. I’ve updated the post to include a direct link to the repository. I appreciate the note about keeping the HN submission lighter and letting the linked page speak for itself. This project is engine