/* Rux-ML */


/** * */
Description
Config-driven ML workbench for gradient-boosted models (XGBoost, LightGBM, CatBoost): Optuna hyperparameter search with purged, time-aware cross-validation for leakage control, full per-trial reproducibility provenance (config hashes, data hashes, seeds, environment), and a gated model registry with atomic champion promotion. 407 tests.


/* Links */

Repositorygithub.com/rux-eth/rux-ml

const Details = {
"Stack": [
XGBoost,
Optuna
],
"Languages": [
Python
],

"Status": Completed,

"Role": Back-End,

"Links": {

"Repository": ,

},
}
Rux-ML

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