optiAlgCgd: Conjugate gradient optimization
In pcaMethods: A collection of PCA methods
Description
Usage
Arguments
Value
Author(s)
Description
Conjugate gradient optimization
Usage
1
optiAlgCgd(nlnet, trainIn, trainOut, verbose = FALSE)
Arguments
nlnet
The nlnet
trainIn
Training data
trainOut
fitted data
verbose
logical, print messages
Value
...
Author(s)
Henning Redestig, Matthias Scholz
pcaMethods documentation built on Nov. 8, 2020, 6:19 p.m.
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Description Usage Arguments Value Author(s)
Description
Conjugate gradient optimization
Usage
1 | optiAlgCgd(nlnet, trainIn, trainOut, verbose = FALSE)
|
Arguments
nlnet |
The nlnet |
trainIn |
Training data |
trainOut |
fitted data |
verbose |
logical, print messages |
Value
...
Author(s)
Henning Redestig, Matthias Scholz
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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