# optuna.distributions.DiscreteUniformDistribution¶

class optuna.distributions.DiscreteUniformDistribution(low, high, q)[源代码]

A discretized uniform distribution in the linear domain.

This object is instantiated by suggest_uniform() with step argument and suggest_discrete_uniform(), and passed to samplers in general.

If the range $$[\mathsf{low}, \mathsf{high}]$$ is not divisible by $$q$$, $$\mathsf{high}$$ will be replaced with the maximum of $$k q + \mathsf{low} < \mathsf{high}$$, where $$k$$ is an integer.

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 included in the range.

q

A discretization step.

ValueError – If low value is larger than high value.

None

Methods

 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()[源代码]

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

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

bool

to_external_repr(param_value_in_internal_repr)

Convert internal representation of a parameter value into external representation.

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

Optuna’s external representation of a parameter value.

Any

to_internal_repr(param_value_in_external_repr)

Convert external representation of a parameter value into internal representation.

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

Optuna’s internal representation of a parameter value.

float