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demo/poisson_regression.R
In xgboost: Extreme Gradient Boosting
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 May 29, 2024, 5:11 a.m.
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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))
Try the xgboost package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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