| coef.gensvm {gensvm} | R Documentation |
Get the coefficients of the fitted GenSVM model
Description
Returns the model coefficients of the GenSVM object
Usage
## S3 method for class 'gensvm'
coef(object, ...)
Arguments
object |
a |
... |
further arguments are ignored |
Value
The coefficients of the GenSVM model. This is a matrix of size
(n_{features} + 1) x (n_{classes} - 1). This matrix is used to project
the input data to a low dimensional space using the equation: XW + t
where X is the input matrix, t is the first row of the matrix
returned by this function, and W is the n_{features} x
(n_{classes} - 1) matrix formed by the remaining rows.
Author(s)
Gerrit J.J. van den Burg, Patrick J.F. Groenen
Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
References
Van den Burg, G.J.J. and Groenen, P.J.F. (2016). GenSVM: A Generalized Multiclass Support Vector Machine, Journal of Machine Learning Research, 17(225):1–42. URL https://jmlr.org/papers/v17/14-526.html.
See Also
gensvm, plot.gensvm,
predict.gensvm, gensvm-package
Examples
x <- iris[, -5]
y <- iris[, 5]
fit <- gensvm(x, y)
V <- coef(fit)