loguniform: Specify a log uniform distribution

In azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'

Description

Specify a log uniform distribution.

A value is drawn according to exp(uniform(min_value, max_value)) so that the logarithm of the return value is uniformly distributed. When optimizing, this variable is constrained to the interval [exp(min_value), exp(max_value)].

Usage

loguniform(min_value, max_value)

Arguments

min_value	A double where the minimum value in the range will be exp(min_value) (inclusive).
max_value	A double where the maximum value in the range will be exp(min_value) (inclusive).

Value

A list of the stochastic expression.

See Also

random_parameter_sampling(), grid_parameter_sampling(), bayesian_parameter_sampling()

azuremlsdk documentation built on Oct. 23, 2020, 8:22 p.m.