Streamline: Reducing Memory Footprint of Trained Decision Forest

In Rborist: Extensible, Parallelizable Implementation of the Random Forest Algorithm

Reducing Memory Footprint of Trained Decision Forest

Description

Clears fields deemed no longer useful.

Usage

## S3 method for class 'rfArb'
Streamline(arbOut)

Arguments

arbOut

Trained forest object of class rfArb.

Value

an object of class rfArb with sample data cleared.

Author(s)

Mark Seligman at Suiji.

Examples

## Not run: 
    ## Trains.
    rs <- Rborist(x, y)
    ...
    ## Replaces trained object with streamlined copy.
    rs <- Streamline(rs)
 
## End(Not run)

Rborist documentation built on July 26, 2023, 5:32 p.m.