Newsletter
Vous pouvez vous désinscrire à tout moment.
Vous trouverez pour cela nos informations de contact dans les conditions d'utilisation du site.
✅ Faster feature selection ✅ Better handling of imbalanced regression ✅ Less overfitting out of the box
Has anyone else run v5 on a real-world production dataset? Curious about inference latency comparisons.
[R] QBoost v5 released – quantum-inspired boosting with real-world improvements
#MachineLearning #QBoost #EnsembleMethods #QuantumInspired
Just saw the release notes for QBoost v5. For those who don't know, QBoost uses a quantum annealing‑inspired heuristic to pick weak learners – different from greedy gradient boosting.
Not a full LightGBM killer – but for high‑dimensional noisy data? Definitely worth a look.
👇 Repo / paper in comments. Has anyone benchmarked v5 vs CatBoost yet?
✅ Faster feature selection ✅ Better handling of imbalanced regression ✅ Less overfitting out of the box
Has anyone else run v5 on a real-world production dataset? Curious about inference latency comparisons.
[R] QBoost v5 released – quantum-inspired boosting with real-world improvements
#MachineLearning #QBoost #EnsembleMethods #QuantumInspired
Just saw the release notes for QBoost v5. For those who don't know, QBoost uses a quantum annealing‑inspired heuristic to pick weak learners – different from greedy gradient boosting.
Not a full LightGBM killer – but for high‑dimensional noisy data? Definitely worth a look.
👇 Repo / paper in comments. Has anyone benchmarked v5 vs CatBoost yet?
