The Tournament Director 3.2.1 Ke
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Scikit-learn also provides the HalvingGridSearchCV andHalvingRandomSearchCV estimators that can be used tosearch a parameter space using successive halving [1] [2]. Successivehalving (SH) is like a tournament among candidate parameter combinations.SH is an iterative selection process where all candidates (theparameter combinations) are evaluated with a small amount of resources atthe first iteration. Only some of these candidates are selected for the nextiteration, which will be allocated more resources. For parameter tuning, theresource is typically the number of training samples, but it can also be anarbitrary numeric parameter such as n_estimators in a random forest. 153554b96e
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