GetGammaCV: Get optimal cross validated gamma values by various rules
In SpaCCr: Spatial Convex Clustering
Description
Usage
Arguments
Value
Examples
Description
Get optimal cross validated gamma values by various rules
Usage
1
GetGammaCV(ErrMat, rule = 1, gamma.seq)
Arguments
ErrMat
Matrix of cross validated errors outputted by GetCVErrMat
rule
A number indicating how optimal gamma should be chosen. 1 for minimum cv error,
2 for 1 standard error rule
gamma.seq
sequence of regularization parameters used for cross validation.
Value
A scalar. Optimal gamma selected by CV rule.
Examples
1
SpaCCr documentation built on May 2, 2019, 11:02 a.m.
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Description Usage Arguments Value Examples
Description
Get optimal cross validated gamma values by various rules
Usage
1 | GetGammaCV(ErrMat, rule = 1, gamma.seq)
|
Arguments
ErrMat |
Matrix of cross validated errors outputted by |
rule |
A number indicating how optimal gamma should be chosen. 1 for minimum cv error, 2 for 1 standard error rule |
gamma.seq |
sequence of regularization parameters used for cross validation. |
Value
A scalar. Optimal gamma selected by CV rule.
Examples
1 |
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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