aa0ffcfd32
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. |
||
|---|---|---|
| .. | ||
| dataset.js | ||
| iml.js | ||
| layer.js | ||
| mlp.js | ||
| nisps-wasm-worker.js | ||
| nisps-wasm.js | ||
| node.js | ||
| osc-client.js | ||