rfpredict

This function is not intended for end users. Users should use the predict.brif function instead.

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

rfpredict function

<dl><dt>rf</dt>
<dd>an object of class 'brif', as returned by rftrain.</dd>
<dt>rdf</dt>
<dd>a data frame containing the new cases to be predicted.</dd>
<dt>vote_method</dt>
<dd>an integer (0 or 1) indicating the voting mechanism among leaf predictions.</dd>
<dt>nthreads</dt>
<dd>an integer specifying the number of threads to be used in prediction.</dd></dl>

Arguments

Predict new cases — rfpredict

<dl>

<dt>rf</dt>
<dd>an object of class 'brif', as returned by rftrain.</dd>


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


<dt>vote_method</dt>
<dd>an integer (0 or 1) indicating the voting mechanism among leaf predictions.</dd>


<dt>nthreads</dt>
<dd>an integer specifying the number of threads to be used in prediction.</dd>

</dl>

rfpredict: Predict new cases

Description

Usage

Value

Arguments