agaricus.train


This data set is originally from the Mushroom data set,
UCI Machine Learning Repository.


datasets

Extreme Gradient Boosting, which is an
efficient implementation of gradient boosting framework.
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.

Tong He

xgboost

Extreme Gradient Boosting

agaricus.train function

A list containing a label vector, and a dgCMatrix object with 6513
rows and 127 variables

agaricus.train: Training part from Mushroom Data Set

Description

Usage

Arguments

Format

Details

References