setLGBMThreads

setLGBMthreads

LightGBM attempts to speed up many operations by using multi-threading.
 The number of threads used in those operations can be controlled via the
 <code>num_threads</code> parameter passed through <code>params</code> to functions like
 lgb.train and lgb.Dataset. However, some operations (like materializing
 a model from a text file) are done via code paths that don't explicitly accept thread-control
 configuration.
Use this function to set the maximum number of threads LightGBM will use for such operations.
This function affects all LightGBM operations in the same process.
So, for example, if you call <code>setLGBMthreads(4)</code>, no other multi-threaded LightGBM
 operation in the same process will use more than 4 threads.
Call <code>setLGBMthreads(-1)</code> to remove this limitation.

Tree based algorithms can be improved by introducing boosting frameworks.
'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>.
This package offers an R interface to work with it.
It is designed to be distributed and efficient with the following advantages:
1. Faster training speed and higher efficiency.
2. Lower memory usage.
3. Better accuracy.
4. Parallel learning supported.
5. Capable of handling large-scale data.
In recognition of these advantages, 'LightGBM' has been widely-used in many winning solutions of machine learning competitions.
Comparison experiments on public datasets suggest that 'LightGBM' can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. In addition, parallel experiments suggest that in certain circumstances, 'LightGBM' can achieve a linear speed-up in training time by using multiple machines.

James Lamb

lightgbm

Light Gradient Boosting Machine

Yu Shi

Guolin Ke

Damien Soukhavong

Qi Meng

Thomas Finley

Taifeng Wang

Wei Chen

Weidong Ma

Qiwei Ye

Tie-Yan Liu

Nikita Titov

Yachen Yan

Microsoft Corporation 

Dropbox, Inc. 

Alberto Ferreira

Daniel Lemire

Victor Zverovich

IBM Corporation 

David Cortes

Michael Mayer

setLGBMThreads function

<dl><dt>num_threads</dt>
<dd>maximum number of threads to be used by LightGBM in multi-threaded operations</dd></dl>

Arguments

Set maximum number of threads used by LightGBM — setLGBMThreads

<dl>

<dt>num_threads</dt>
<dd>maximum number of threads to be used by LightGBM in multi-threaded operations</dd>

</dl>

Set maximum number of threads used by LightGBM

setLGBMThreads: Set maximum number of threads used by LightGBM

Description

Usage

Arguments

See Also