Dear R-users, How can I extract the weighting values (w-values) for each feature from a rvm-object of the kernlab package? I can access the relevance vectors but how can I get the weighting values of each feature?
example code: # create data x1 <- rnorm(401,sd=1.10) x2 <- rnorm(401,sd=1.10) x3 <- rnorm(401,sd=1.10) x4 <- rnorm(401,sd=1.10) y <- (0.4 * sin(x1)/x1 + rnorm(401,sd=0.10)) + (0.7 * sin(x2)/x2 + rnorm(401,sd=0.05)) + (1.2 * sin(x3)/x3 + rnorm(401,sd=0.15)) + (2.2 * sin(x4)/x4 + rnorm(401,sd=0.25)) # train relevance vector machine foo <- rvm(data.frame(x1, x2, x3, x4), y, kernel='vanilladot') foo alpha(foo) RVindex(foo) thanks for any suggestions! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
