context("classif_plsDA")
test_that("classif_plsDA", {
requirePackages("DiscriMiner", default.method = "load")
set.seed(getOption("mlr.debug.seed"))
m = DiscriMiner::plsDA(multiclass.train[,-multiclass.class.col], group=multiclass.train[,multiclass.class.col])
p = DiscriMiner::classify(m, newdata=multiclass.test[,-multiclass.class.col])
testSimple("classif.plsDA", multiclass.df, multiclass.target, multiclass.train.inds, p$pred_class)
tt = function (formula, data, subset, ...) {
j = which(colnames(data) == as.character(formula)[2])
m = DiscriMiner::plsDA(variables = data[subset,-j], group = data[subset,j])
list(model = m, target=j)
}
tp = function(model, newdata) {
DiscriMiner::classify(model$model, newdata = newdata[,-model$target])$pred_class
}
testCV("classif.plsDA", multiclass.df, multiclass.target, tune.train=tt, tune.predict=tp)
})
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