optuna.distributions.FloatDistribution
- class optuna.distributions.FloatDistribution(low, high, log=False, step=None)[source]
A distribution on floats.
This object is instantiated by
suggest_float(), and passed tosamplersin general.Note
When
stepis notNone, if the range \([\mathsf{low}, \mathsf{high}]\) is not divisible by \(\mathsf{step}\), \(\mathsf{high}\) will be replaced with the maximum of \(k \times \mathsf{step} + \mathsf{low} < \mathsf{high}\), where \(k\) is an integer.- low
Lower endpoint of the range of the distribution.
lowis included in the range.lowmust be less than or equal tohigh. IflogisTrue,lowmust be larger than 0.
- high
Upper endpoint of the range of the distribution.
highis included in the range.highmust be greater than or equal tolow.
- log
If
logisTrue, this distribution is in log-scaled domain. This parameter must beFalsewhen the parameterstepis notNone.
- step
A discretization step.
stepmust be larger than 0. This parameter must beNonewhen the parameterlogisTrue.
Methods
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.
- 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.