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Hyperparameter tuning #28

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RAMitchell opened this issue Jul 25, 2023 · 0 comments

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feature request

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RAMitchell commented Jul 25, 2023

Investigate a method of tuning legateboost hyperparameters utilising legate for parallelism. See sklearn grid search as an example.

A first attempt might launch 1 legateboost training run on each legate worker.

A later improvement, for memory constrained situations, would be the ability to assign 2 or more legate workers to each training run.

RAMitchell added the feature request label

RAMitchell assigned trivialfis

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