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. |
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| .. | ||
| midi | ||
| nisps | ||
| shapeseq | ||
| synth | ||
| ui | ||
| a-app.js | ||
| app.js | ||
| b-app.js | ||
| c-app.js | ||