memlnaut-nisps/playground/js
w1n5t0n aa0ffcfd32 feat(playground/nisps): recency & spatial weighted training in JS ML engine
Add Dataset.computeWeights() with three modes:
- global: exponential recency decay (newest examples weighted higher)
- local: spatial suppression of older examples near the current input
- combined: both applied together

IML and WasmIML now compute weights on every train() call using the
active mode. Exposes recencyBias, weightingMode, localRadius properties.
WASM worker path passes sampleWeights through to C++ via the new binding.
2026-04-02 20:35:31 +01:00
..
midi hello come back to me 2026-03-30 17:05:45 +03:00
nisps feat(playground/nisps): recency & spatial weighted training in JS ML engine 2026-04-02 20:35:31 +01:00
shapeseq fix(shapeseq): fix 6 bugs found in fresh-eyes review 2026-03-24 11:42:25 +02:00
synth hello come back to me 2026-03-30 17:05:45 +03:00
ui hello come back to me 2026-03-30 17:05:45 +03:00
a-app.js hello come back to me 2026-03-30 17:05:45 +03:00
app.js fix(playground): prevent 1/2 keys being swallowed by focused sliders 2026-03-22 11:52:30 +02:00
b-app.js feat(playground): expand gamepad support with face buttons and Steam Deck fixes 2026-03-22 22:40:15 +02:00
c-app.js feat(playground): expand gamepad support with face buttons and Steam Deck fixes 2026-03-22 22:40:15 +02:00