plotLSVM {mistral} | R Documentation |
Make a plot of the data and the LSVM classifier
plotLSVM(X, Y, A.model.lsvm, hyperplanes = FALSE, limit.state.estimate = TRUE, convexity)
X |
a matrix containing the data sets |
Y |
a vector containing -1 or +1 that reprensents the class of each elements of X. |
A.model.lsvm |
a matrix containing the parameters of all hyperplanes. |
hyperplanes |
A boolean. If TRUE, plot the hyperplanes obtained. |
limit.state.estimate |
A boolean. If TRUE, plot the estimate of the limit state. |
convexity |
Either -1 if the set of data associated to the label "-1" is convex or +1 otherwise. |
plotLSVM makes a plot of the data as well as the estimate limit state and the hyperplanes involved in this construction.
This function is useful only in dimension 2.
Vincent Moutoussamy
R.T. Rockafellar:
Convex analysis
Princeton university press, 2015.
N. Bousquet, T. Klein and V. Moutoussamy :
Approximation of limit state surfaces in monotonic Monte Carlo settings
Submitted .
# A limit state function f <- function(x){ sqrt(sum(x^2)) - sqrt(2)/2 } # Creation of the data sets n <- 200 X <- matrix(runif(2*n), nrow = n) Y <- apply(X, MARGIN = 1, function(w){sign(f(w))}) ## Not run: model.A <- modelLSVM(X,Y, convexity = -1) plotLSVM(X, Y, model.A, hyperplanes = FALSE, limit.state.estimate = TRUE, convexity = -1) ## End(Not run)