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loguniform

Specify a log uniform distribution


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

Interface to the 'Azure Machine Learning' 'SDK'

v1.10.0
MIT + file LICENSE
Authors
Diondra Peck [cre, aut], Minna Xiao [aut], AzureML R SDK Team [ctb], Microsoft [cph, fnd], Google Inc. [cph] (Examples and Tutorials), The TensorFlow Authors [cph] (Examples and Tutorials), RStudio Inc. [cph] (Examples and Tutorials)
Initial release

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