🧪 Laboratório de previsão
Gere partidas, construa perfis com os 70% do passado e treine um modelo para prever os 30% do futuro — inteiramente no seu navegador.
💡 Por que não precisa de 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.