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Hyperparameter Tuning with Asynchronous Random Search
Source:R/TunerAsyncRandomSearch.R
mlr_tuners_async_random_search.Rd
Subclass for asynchronous random search tuning.
Source
Bergstra J, Bengio Y (2012). “Random Search for Hyper-Parameter Optimization.” Journal of Machine Learning Research, 13(10), 281–305. https://jmlr.csail.mit.edu/papers/v13/bergstra12a.html.
Details
The random points are sampled by paradox::generate_design_random()
.
See also
Other TunerAsync:
mlr_tuners_async_design_points
,
mlr_tuners_async_grid_search
Super classes
mlr3tuning::Tuner
-> mlr3tuning::TunerAsync
-> mlr3tuning::TunerAsyncFromOptimizerAsync
-> TunerAsyncRandomSearch