demo/poisson_regression.R

data(mtcars)
head(mtcars)
bst <- xgboost(data = as.matrix(mtcars[, -11]), label = mtcars[, 11],
               objective = 'count:poisson', nrounds = 5)
pred <- predict(bst, as.matrix(mtcars[, -11]))
sqrt(mean((pred - mtcars[, 11]) ^ 2))

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xgboost documentation built on April 16, 2022, 5:05 p.m.