best_parameters_cross: Performs cross validation and returns the best parameters...
In ingridas/EPICR: An Implementation of Efficient Pareto Iterative Classification Method
Description
Usage
Arguments
Value
Description
Performs cross validation and returns the best parameters values of SVM
Usage
1
best_parameters_cross(x, y, v, w)
Arguments
x
- classifications data
y
- decision values
v
- number of folds
w
- weight
Value
The best values of gamma and C
ingridas/EPICR documentation built on May 18, 2019, 4:54 a.m.
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Description Usage Arguments Value
Description
Performs cross validation and returns the best parameters values of SVM
Usage
1 | best_parameters_cross(x, y, v, w)
|
Arguments
x |
- classifications data |
y |
- decision values |
v |
- number of folds |
w |
- weight |
Value
The best values of gamma and C
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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