optuna.distributions

The distributions module defines various classes representing probability distributions, mainly used to suggest initial hyperparameter values for an optimization trial. Distribution classes inherit from a library-internal BaseDistribution, and is initialized with specific parameters, such as the low and high endpoints for a IntDistribution.

Optuna users should not use distribution classes directly, but instead use utility functions provided by Trial such as suggest_int().

FloatDistribution	A distribution on floats.
IntDistribution	A distribution on integers.
CategoricalDistribution	A categorical distribution.
distribution_to_json	Serialize a distribution to JSON format.
json_to_distribution	Deserialize a distribution in JSON format.
check_distribution_compatibility	A function to check compatibility of two distributions.

The following classes are deprecated and will be removed in the future.

UniformDistribution	A uniform distribution in the linear domain.
LogUniformDistribution	A uniform distribution in the log domain.
DiscreteUniformDistribution	A discretized uniform distribution in the linear domain.
IntUniformDistribution	A uniform distribution on integers.
IntLogUniformDistribution	A uniform distribution on integers in the log domain.