simul.wsvm: Generating simulation data for weighted svm
In wSVM: Weighted SVM with boosting algorithm for improving accuracy
Description
This function is to Generate simulation data for weighted svm.
Usage
1
simul.wsvm(set.seeds = 123, obs.num = 1000, mu = c(0,0), cov.mat = 0.2*diag(2), X = NULL, Y = NULL)
See Also
wSVM documentation built on May 2, 2019, 12:24 p.m.
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.
Description
This function is to Generate simulation data for weighted svm.
Usage
1 | simul.wsvm(set.seeds = 123, obs.num = 1000, mu = c(0,0), cov.mat = 0.2*diag(2), X = NULL, Y = NULL)
|
See Also
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.