lognormal: Specify a normal distribution of the form 'exp(normal(mu,...
In azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'
Description
Usage
Arguments
Value
See Also
Description
Specify a normal distribution of the form exp(normal(mu, sigma)).
The logarithm of the return value is normally distributed. When optimizing,
this variable is constrained to be positive.
Usage
1
Arguments
mu
A double of the mean of the normal distribution.
sigma
A double of the standard deviation of the normal distribution.
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.
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Description Usage Arguments Value See Also
Description
Specify a normal distribution of the form exp(normal(mu, sigma)).
The logarithm of the return value is normally distributed. When optimizing, this variable is constrained to be positive.
Usage
1 |
Arguments
mu |
A double of the mean of the normal distribution. |
sigma |
A double of the standard deviation of the normal distribution. |
Value
A list of the stochastic expression.
See Also
random_parameter_sampling(), grid_parameter_sampling(),
bayesian_parameter_sampling()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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