scikit-learn

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1. 3d
   Voyage-affiliated test favors supervised classifiers over Jev when labels are available

   An author who works at Voyage reported testing a supervised workflow that embeds inputs with an open-source or inexpensive embedding model and fits an sklearn classifier using labeled data. The author said the approach was cheaper and delivered a 37% error reduction against Jev. They clarified that the gain came from using training labels: Jev does not use them, and the supervised approach performed worse when labels were unavailable. The report linked a write-up and code.

   r/MachineLearning · 🔥 0

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