optuna.distributions.CategoricalDistribution

class optuna.distributions.CategoricalDistribution(choices: Sequence[Union[None, bool, int, float, str]])

A categorical distribution.

This object is instantiated by suggest_categorical(), and passed to samplers in general.

Parameters

choices – Parameter value candidates.

Note

Not all types are guaranteed to be compatible with all storages. It is recommended to restrict the types of the choices to None, bool, int, float and str.

choices

Parameter value candidates.

__init__(choices: Sequence[Union[None, bool, int, float, str]]) → None

Methods

__init__(choices)
single()	Test whether the range of this distribution contains just a single value.
to_external_repr(param_value_in_internal_repr)	Convert internal representation of a parameter value into external representation.
to_internal_repr(param_value_in_external_repr)	Convert external representation of a parameter value into internal representation.

single() → bool

Test whether the range of this distribution contains just a single value.

When this method returns True, samplers always sample the same value from the distribution.

Returns

True if the range of this distribution contains just a single value, otherwise False.

to_external_repr(param_value_in_internal_repr: float) → Union[None, bool, int, float, str]

Convert internal representation of a parameter value into external representation.

Parameters

param_value_in_internal_repr – Optuna’s internal representation of a parameter value.

Returns

Optuna’s external representation of a parameter value.

to_internal_repr(param_value_in_external_repr: Union[None, bool, int, float, str]) → float

Convert external representation of a parameter value into internal representation.

Parameters

param_value_in_external_repr – Optuna’s external representation of a parameter value.

Returns

Optuna’s internal representation of a parameter value.