Fix thread oversubscription: single-threaded estimators in per-ticker workers

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

Simon-Pierre Boucher committed 1 mo ago (Aug 11, 2026) parent af641d2

1 changed file +3 −3

modified src/wp12/models_ml.py +3 −3

		`@@ -130,19 +130,19 @@ def _make_estimator(name: str, params: dict[str, Any], seed: int):`
130	130	if name == "RF":
131	131	return RandomForestRegressor(
132	132	n_estimators=300, min_samples_leaf=params["min_samples_leaf"],
133		− max_features=params["max_features"], random_state=seed, n_jobs=-1,
	133	+ max_features=params["max_features"], random_state=seed, n_jobs=1,
134	134	)
135	135	if name == "XGBoost":
136	136	return XGBRegressor(
137	137	n_estimators=400, learning_rate=0.05, max_depth=params["max_depth"],
138	138	subsample=0.8, colsample_bytree=0.8, random_state=seed,
139		− n_jobs=-1, verbosity=0,
	139	+ n_jobs=1, verbosity=0,
140	140	)
141	141	if name == "LightGBM":
142	142	return LGBMRegressor(
143	143	n_estimators=400, learning_rate=0.05, num_leaves=params["num_leaves"],
144	144	min_child_samples=20, subsample=0.8, colsample_bytree=0.8,
145		− random_state=seed, n_jobs=-1, verbose=-1,
	145	+ random_state=seed, n_jobs=1, verbose=-1,
146	146	)
147	147	raise ValueError(f"unknown estimator {name}")
148	148
149	149