w1n5t0n c8d7779699 feat(nisps-core,wasm): add per-sample weights to MLP training ... Add optional sample_weights parameter to MLP::Train() and the WASM nisps_mlp_train binding. When provided, weights replace the uniform 1/N scaling per sample — enabling recency, spatial, or any custom importance weighting without changing the training interface.		2026-04-02 20:35:24 +01:00
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nisps	feat(nisps-core,wasm): add per-sample weights to MLP training	2026-04-02 20:35:24 +01:00