test_that("classif_naiveBayes", {
requirePackagesOrSkip("e1071", default.method = "load")
m = e1071::naiveBayes(formula = multiclass.formula, data = multiclass.train)
p = predict(m, newdata = multiclass.test[, -multiclass.class.col])
p2 = predict(m, newdata = multiclass.test[, -multiclass.class.col],
type = "raw")
testSimple("classif.naiveBayes", multiclass.df, multiclass.target,
multiclass.train.inds, p)
testProb("classif.naiveBayes", multiclass.df, multiclass.target,
multiclass.train.inds, p2)
tt = e1071::naiveBayes
tp = function(model, newdata) predict(model, newdata[, -multiclass.class.col])
testCV("classif.naiveBayes", multiclass.df, multiclass.target,
tune.train = tt, tune.predict = tp)
})
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