qloguniform: Specify a uniform distribution of the form...

In Azure/azureml-sdk-for-r: Interface to the 'Azure Machine Learning' 'SDK'

Specify a uniform distribution of the form round(exp(uniform(min_value, max_value) / q) * q

Description

Specify a uniform distribution of the form round(exp(uniform(min_value, max_value) / q) * q.

This is suitable for a discrete variable with respect to which the objective is "smooth", and gets smoother with the size of the value, but which should be bounded both above and below.

Usage

qloguniform(min_value, max_value, q)

Arguments

min_value	A double of the minimum value in the range (inclusive).
max_value	A double of the maximum value in the range (inclusive).
q	An integer of the smoothing factor.

Value

A list of the stochastic expression.

See Also

random_parameter_sampling(), grid_parameter_sampling(), bayesian_parameter_sampling()

Azure/azureml-sdk-for-r documentation built on Sept. 21, 2022, 5:45 a.m.