@@ -5,10 +5,10 @@ set.seed(1994)
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test_that("poisson regression works", {
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data(mtcars)
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bst <- xgboost(data = as.matrix(mtcars[,-11]), label = mtcars[,11],
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objective = 'count:poisson', nrounds=10, verbose=0)
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bst <- xgboost(data = as.matrix(mtcars[, -11]), label = mtcars[, 11],
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objective = 'count:poisson', nrounds = 10, verbose = 0)
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expect_equal(class(bst), "xgb.Booster")
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pred <- predict(bst, as.matrix(mtcars[, -11]))
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expect_equal(length(pred), 32)
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expect_lt(sqrt(mean( (pred - mtcars[,11])^2 )), 1.2)
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expect_lt(sqrt(mean((pred - mtcars[, 11])^2)), 1.2)
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})
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