cb.save.model

save the model to disk after every 
<code>save_period</code> iterations; 0 means save the model at the end.

save_period

the name or path for the saved model file.
It can contain a <code><a rd-options="base" href="/link/sprintf?package=xgboost&version=0.6.4.1&to=base" data-mini-rdoc="base::sprintf">sprintf</a></code> formatting specifier 
to include the integer iteration number in the file name.
E.g., with <code>save_name</code> = 'xgboost_
the file saved at iteration 50 would be named "xgboost_0050.model".

save_name

Callback closure for saving a model file.

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.

Tong He

xgboost

Extreme Gradient Boosting

cb.save.model function

the name or path for the saved model file.
It can contain a <code><a rd-options='base' href='sprintf'>sprintf</a></code> formatting specifier 
to include the integer iteration number in the file name.
E.g., with <code>save_name</code> = 'xgboost_
the file saved at iteration 50 would be named "xgboost_0050.model".

cb.save.model: Callback closure for saving a model file.

Description

Usage

Arguments

Details

See Also