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Change default sampling algorithm #2964
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featureChange that does not break compatibility, but affects the public interfaces.Change that does not break compatibility, but affects the public interfaces.no-staleExempt from stale botExempt from stale botoptuna.samplersRelated to the `optuna.samplers` submodule. This is automatically labeled by github-actions.Related to the `optuna.samplers` submodule. This is automatically labeled by github-actions.
Description
Motivation
The default sampler, TPESampler, has options expected to improve optimization performance in many situations. For Optuna v3, we consider changing the default options to enjoy effective algorithms.
Description
- Collect comprehensive benchmarks for the important options, e.g.,
multivariate,group, andconstant_liar - Identify for the cause of the reported benchmark results TPE performs poorly compared to the TPE in BOHB #2871
- Conduct speed benchmarks to confirm the speed is acceptable
- Add the specification of the behavior of
n_startup_trialsforconstant_liaroption #3908 - Stabilize
multivariate,group, andconstant_liar - Change the behavior to keep the relative sampling even if the range of suggestion changes
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featureChange that does not break compatibility, but affects the public interfaces.Change that does not break compatibility, but affects the public interfaces.no-staleExempt from stale botExempt from stale botoptuna.samplersRelated to the `optuna.samplers` submodule. This is automatically labeled by github-actions.Related to the `optuna.samplers` submodule. This is automatically labeled by github-actions.