xgboost

Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) doi:10.1145/2939672.2939785. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.

Last 30 days

This package has been downloaded 68,913 times in the last 30 days. The kind of number that gets mentioned in a keynote speech. Well done! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2,404 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 664,098 times in the last 365 days. This is starting to look legendary. Enough downloads to inspire a dedicated panel discussion! The day with the most downloads was Oct 01, 2024 with 4,036 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.