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Results tagged with grid-search
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user 154806
In machine learning, grid search refers to multiple runs to find the optimal value of parameter(s)/hyperparameter(s) of a model, e.g. mtry for random-forest or alpha, beta, lambda for glm, or C, kernel and gamma for SVM.
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How are the successive sets of training samples that are allocated for each iteration of Hal...
The scikit-learn classes HalvingGridSearchCV and HalvingRandomSearchCV implement a hyperparameter tuning method known as successive halving. It is an iterative selection process in which all the param …
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