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memlnaut-nisps/playground/wasm
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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
..
build.sh feat(playground): replace JS ML engine with WASM nisps-core 2026-03-23 23:23:07 +02:00
nisps.js feat(playground): replace JS ML engine with WASM nisps-core 2026-03-23 23:23:07 +02:00
nisps.wasm feat(nisps-core,wasm): add per-sample weights to MLP training 2026-04-02 20:35:24 +01:00
nisps_bindings.cpp feat(nisps-core,wasm): add per-sample weights to MLP training 2026-04-02 20:35:24 +01:00