Description Usage Arguments Value
View source: R/benchmark_models.R
wsvm to solve the subject-weighted SVM
1 |
X: |
n by p feature matrix |
A: |
label |
wR: |
instance weight |
kernel: |
propensity score with length n, can be either "rbf" or "linear", default is "linear" |
sigma: |
hyper-parameter in SVM rbf kernel |
C: |
hyper-parameter in SVM rbf kernel |
e: |
least tolerated error |
object of rbfcl or linearcf classs wsvm()
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