bstr_multi: SVM SCAD bootstrapping classification and feature selection.
In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
SVM SCAD bootstrapping classification and feature selection.
Usage
1
2
bstr_multi(X, datX, bstr, seed = 123, fs.method = "scad", bounds,
maxiter = 1000, maxevals = 500)
Arguments
X
datX
bstr
seed
fs.method
bounds
maxiter
maxevals
Details
An internal function, which is usually not called directly.
Value
Alist with one element for each of the bstr bootstrap iterations. Each element contains the result of the svm.fs call.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
References
Todo.
See Also
Todo.
Examples
1
2
3
4
## Not run:
#todo
## End(Not run)
bootfs documentation built on May 2, 2019, 5:50 p.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
SVM SCAD bootstrapping classification and feature selection.
Usage
1 2 | bstr_multi(X, datX, bstr, seed = 123, fs.method = "scad", bounds,
maxiter = 1000, maxevals = 500)
|
Arguments
X |
|
datX |
|
bstr |
|
seed |
|
fs.method |
|
bounds |
|
maxiter |
|
maxevals |
Details
An internal function, which is usually not called directly.
Value
Alist with one element for each of the bstr bootstrap iterations. Each element contains the result of the svm.fs call.
Author(s)
Christian Bender (christian.bender@tron-mainz.de)
References
Todo.
See Also
Todo.
Examples
1 2 3 4 | ## Not run:
#todo
## End(Not run)
|
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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