optuna.distributions.LogUniformDistribution

class optuna.distributions.LogUniformDistribution(low: float, high: float)

A uniform distribution in the log domain.

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

low

Lower endpoint of the range of the distribution. low is included in the range.

high

Upper endpoint of the range of the distribution. high is excluded from the range.

__init__(low: float, high: float) → None

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(low, high)	Initialize self.
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) → Any

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: Any) → 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.