svmTrain: svmTrain
In GuangchuangYu/mlass: Machine Learning Algorithms
Description
Usage
Arguments
Details
Value
Author(s)
Description
SVM training
Usage
1
2
Arguments
X
dataset
Y
label
C
control penalty
kernelFunction
kernel function
tol
tolerance
max.iter
max iteration
verbose
logical parameter
Details
SMO algorithm
Value
A svmResult instance
Author(s)
Guangchuang Yu http://ygc.name
GuangchuangYu/mlass documentation built on May 6, 2019, 9:02 p.m.
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Description Usage Arguments Details Value Author(s)
Description
SVM training
Usage
1 2 |
Arguments
X |
dataset |
Y |
label |
C |
control penalty |
kernelFunction |
kernel function |
tol |
tolerance |
max.iter |
max iteration |
verbose |
logical parameter |
Details
SMO algorithm
Value
A svmResult instance
Author(s)
Guangchuang Yu http://ygc.name
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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