Minor addition to R unit tests
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@@ -5,6 +5,7 @@ require(data.table)
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require(Matrix)
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require(vcd)
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set.seed(1994)
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data(Arthritis)
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data(agaricus.train, package='xgboost')
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df <- data.table(Arthritis, keep.rownames = F)
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@@ -16,15 +17,16 @@ output_vector <- df[,Y := 0][Improved == "Marked",Y := 1][,Y]
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bst <- xgboost(data = sparse_matrix, label = output_vector, max.depth = 9,
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eta = 1, nthread = 2, nround = 10,objective = "binary:logistic")
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test_that("xgb.dump works", {
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capture.output(print(xgb.dump(bst)))
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dump <- xgb.dump(bst)
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expect_equal(length(dump, 172))
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})
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test_that("xgb.importance works", {
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xgb.dump(bst, 'xgb.model.dump', with.stats = T)
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expect_true(xgb.dump(bst, 'xgb.model.dump', with.stats = T))
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importance <- xgb.importance(sparse_matrix@Dimnames[[2]], 'xgb.model.dump')
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expect_equal(dim(importance), c(7, 4))
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expect_equal(colnames(importance), c("Feature", "Gain", "Cover", "Frequence"))
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})
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test_that("xgb.plot.tree works", {
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