optimiDefaultConstraint: Returns function for parameter constraint.
In gptk: Gaussian Processes Tool-Kit
Description
Usage
Arguments
Value
See Also
Examples
Description
returns the current default function for constraining a
parameter.
Usage
1
optimiDefaultConstraint(constraint)
Arguments
constraint
the type of constraint you want to place on the parameter, options include 'positive' (gives an 'exp' constraint) and 'zeroone' (gives a 'sigmoid' constraint).
Value
val
a list with two components: 'func' for the name of function
used to apply the constraint, and 'hasArgs' for a boolean flag if
the function requires additional arguments.
See Also
expTransform, sigmoidTransform.
Examples
1
2
optimiDefaultConstraint('positive')
optimiDefaultConstraint('bounded')
gptk documentation built on May 2, 2019, 3:27 p.m.
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Description Usage Arguments Value See Also Examples
Description
returns the current default function for constraining a parameter.
Usage
1 | optimiDefaultConstraint(constraint)
|
Arguments
constraint |
the type of constraint you want to place on the parameter, options include 'positive' (gives an 'exp' constraint) and 'zeroone' (gives a 'sigmoid' constraint). |
Value
val |
a list with two components: 'func' for the name of function used to apply the constraint, and 'hasArgs' for a boolean flag if the function requires additional arguments. |
See Also
expTransform, sigmoidTransform.
Examples
1 2 | optimiDefaultConstraint('positive')
optimiDefaultConstraint('bounded')
|
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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