rftrainpredict

This function is not intended for end users. Users should use the function brif or brif.trainpredict and supply the newdata argument thereof.

Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.

Yanchao Liu

brif

A Tree and Forest Tool for Classification and Regression

rftrainpredict function

<dl><dt>rdf</dt>
<dd>a data frame containing the training data.</dd>
<dt>rdf_new</dt>
<dd>a data frame containing new cases to be predicted.</dd>
<dt>par</dt>
<dd>a list containing all parameters.</dd></dl>

Arguments

Train a model and predict for newdata in one go — rftrainpredict

<dl>

<dt>rdf</dt>
<dd>a data frame containing the training data.</dd>


<dt>rdf_new</dt>
<dd>a data frame containing new cases to be predicted.</dd>


<dt>par</dt>
<dd>a list containing all parameters.</dd>

</dl>

rftrainpredict: Train a model and predict for newdata in one go

Description

Usage

Value

Arguments