![]() Only a subset of candidates will last until the end of the Next iteration, which will be run with an increasing amount of allocated Only a subset of the parameter candidates are selected for the Where the resource typically corresponds to the number of training samples,īut can also be an arbitrary integer parameter such as n_estimators in a ![]() The first iteration is run with a small amount of resources, Successive Halving is an iterative selection process illustrated in theįigure below. Successive Halving, a state of the art method, is now available toĮxplore the space of the parameters and identify their best combination. ![]() Conda install - c conda - forge scikit - learn Successive Halving estimators for tuning hyper-parameters ¶ ![]()
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