Question: Why not retrain on full dataset if eval_method = cv?

[stepthom]

I noticed that FLAML will only retrain on the full dataset if the eval_method parameter is set to 'holdout':

FLAML/flaml/automl.py

Lines 910 to 911 in b04b00d

	self._retrain_full = retrain_full and (
	eval_method == 'holdout' and self._state.X_val is None)

Why not retrain on full dataset for other eval_methods, such as 'cv'?

[sonichi]

The retraining happens right after cross-validation:

FLAML/flaml/ml.py

Line 259 in b04b00d

estimator.fit(X_train_all, y_train_all, budget, **fit_kwargs)

[stepthom]

Oh, I see - thank you very much! 👍