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Built-in problems of kurobako.

Modules

A problem based on the benchmark described in NAS-Bench-101: Towards Reproducible Neural Architecture Search.

A problem based on the benchmark defined by sigopt/evalset.

A problem that uses a random forest surrogate model to evaluate parameters.

A problem for warm-starting optimizations.

A two-objective problem that takes its name from its authors Zitzler, Deb and Thiele.