If you want to explore the embedding approach though, I’d re...

52b4a076bcbbbdc3...

npub12262qa4uhw7u8gdwlgmntqtv7aye8vdcmvszkqwgs0zchel6mz7s6cgrkj

hex

e75d8e29df7d5426cfcac4f1a67535c99514d81b2704b4933182b218fd66c267

nevent

nevent1qqswwhvw980h64pxel9vfudxw56un9g5mqdjwp95jvcc9vscl4nvyecprpmhxue69uhhyetvv9ujuem4d36kwatvw5hx6mm9qgs99d9qw67th0wr5xh05de4s9k0wjvnkxudkgptq8yg83vtulad30g5uvzfp

Kind-1 (TextNote)

2026-04-23T20:52:08Z

↳ Reply to 52b4a076... (npub12262qa4uhw7u8gdwlgmntqtv7aye8vdcmvszkqwgs0zchel6mz7s6cgrkj)

they are effectively the same thing, one just has more tunability. a basic dot-product based classifier could be a classification head just by settin...

If you want to explore the embedding approach though, I’d recommend CatBoost as it does something similar with internal kNN matching.

It uses decision trees which should have better performance than a basic kNN, can accept other features as well, and is still lightweight to run

Raw JSON

{
  "kind": 1,
  "id": "e75d8e29df7d5426cfcac4f1a67535c99514d81b2704b4933182b218fd66c267",
  "pubkey": "52b4a076bcbbbdc3a1aefa3735816cf74993b1b8db202b01c883c58be7fad8bd",
  "created_at": 1776977528,
  "tags": [
    [
      "e",
      "bb2b59a5ec8683b22037fe5353dc7511e026ae150c669c4fda770da727da2aee",
      "wss://relay.primal.net/",
      "root",
      "5cdbde0a550fc046a38d75e9fc238094f96b0165b8297c4fa69134ae4ec80024"
    ],
    [
      "e",
      "73654644dbb32a525757d2d20258431f3437af9301e8403fc097138e75e0a9ad",
      "wss://nos.lol",
      "reply",
      "52b4a076bcbbbdc3a1aefa3735816cf74993b1b8db202b01c883c58be7fad8bd"
    ],
    [
      "p",
      "5cdbde0a550fc046a38d75e9fc238094f96b0165b8297c4fa69134ae4ec80024"
    ]
  ],
  "content": "If you want to explore the embedding approach though, I’d recommend CatBoost as it does something similar with internal kNN matching.\n\nIt uses decision trees which should have better performance than a basic kNN, can accept other features as well, and is still lightweight to run",
  "sig": "52d1c933e7e5d665b3d50be3db5cee4ef8caba4ea75de6b80cdc5e96102109c967c1c12e0937684adf2b217439eb197176d48edfbcd38670378e15c8c2767719"
}