AI & Analytics

[Project] PerpetualBooster v1.9.4 - een GBM die de hyperparameter tuning stap volledig overslaat. Nu met driftdetectie, voorspellingsintervallen en causale inferentie ingebouwd.

Reddit r/datascience

Samenvatting

Hey r/datascience , If you've ever spent an afternoon watching Optuna churn through 100 LightGBM trials only to realize you need to re-run everything after fixing a feature, this is the tool I wish I had. Perpetual is a gradient boosting machine (Rust core, Python/R bindings) that replaces hyperparameter tuning with a single budget parameter. You set it, train once, and the model generalizes itself internally. No grid search, no early stopping tuning, no validation set ceremony. ```python fro...

Lees het volledige artikel