optuna.samplersΒΆ
The samplers
module defines a base class for parameter sampling as described extensively in BaseSampler
. The remaining classes in this module represent child classes, deriving from BaseSampler
, which implement different sampling strategies.
Base class for samplers. |
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Sampler using grid search. |
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Sampler using random sampling. |
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Sampler using TPE (Tree-structured Parzen Estimator) algorithm. |
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A sampler using cmaes as the backend. |
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Sampler with partially fixed parameters. |
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Multi-objective sampler using the NSGA-II algorithm. |
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Multi-objective sampler using the MOTPE algorithm. |
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A class to calculate the intersection search space of a |
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Return the intersection search space of the |