🧪 Laboratorio de predicción
Genera partidas, construye perfiles con el 70% pasado y entrena un modelo para predecir el 30% futuro — todo en tu navegador.
💡 ¿Por qué no hace falta GPU?
- Logistic regression has 15 parameters; even the deep MLP has ~2.2k — 100k matches of data is just a few MB.
- One epoch is millions of multiply-adds — milliseconds to seconds in a modern JS engine (see measured times above).
- At this scale WebGL/WebGPU kernel-dispatch overhead actually loses to plain CPU TypeScript.
- A real community produces hundreds to thousands of games — full retraining after every match stays under 100ms.