xgb.cb.print.evaluation

The callback function prints the result of evaluation at every <code>period</code> iterations.
The initial and the last iteration's evaluations are always printed.
Does not leave any attribute in the booster (see xgb.cb.evaluation.log for that).

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.

Jiaming Yuan

xgboost

Extreme Gradient Boosting

Tianqi Chen

Tong He

Michael Benesty

Vadim Khotilovich

Yuan Tang

Hyunsu Cho

Kailong Chen

Rory Mitchell

Ignacio Cano

Tianyi Zhou

Mu Li

Junyuan Xie

Min Lin

Yifeng Geng

Yutian Li

David Cortes

XGBoost contributors 

xgb.cb.print.evaluation function

<dl><dt>period</dt>
<dd>Results would be printed every number of periods.</dd>
<dt>showsd</dt>
<dd>Whether standard deviations should be printed (when available).</dd></dl>

Arguments

Callback for printing the result of evaluation — xgb.cb.print.evaluation

<dl>

<dt>period</dt>
<dd>Results would be printed every number of periods.</dd>


<dt>showsd</dt>
<dd>Whether standard deviations should be printed (when available).</dd>

</dl>

Callback for printing the result of evaluation

xgb.cb.print.evaluation: Callback for printing the result of evaluation

Description

Usage

Value

Arguments

See Also