optuna.distributions.IntUniformDistribution

class optuna.distributions.IntUniformDistribution(low: int, high: int, step: int = 1)

A uniform distribution on integers.

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

Note

If the range \([\mathsf{low}, \mathsf{high}]\) is not divisible by \(\mathsf{step}\), \(\mathsf{high}\) will be replaced with the maximum of \(k \times \mathsf{step} + \mathsf{low} \lt \mathsf{high}\), 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.

step

A step for spacing between values.

__init__(low: int, high: int, step: int = 1) → None

Methods

__init__(low, high[, step])
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) → int

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: int) → 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.