Rborist: Rapid Decision Tree Construction and Evaluation

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

Rapid Decision Tree Construction and Evaluation

Description

Legacy entry for accelerated implementation of the Random Forest (trademarked name) algorithm. Calls the suggested entry, rfArb.

Usage

## Default S3 method:
 Rborist(x,
              y,
              ...)

Arguments

x	the design matrix expressed as a PreFormat object, as a data.frame object with numeric and/or factor columns or as a numeric matrix.
y	the response (outcome) vector, either numerical or categorical. Row count must conform with x.
...	specific to rfArb.

Value

an object of class rfArb, as documented in command of the same name.

Author(s)

Mark Seligman at Suiji.

Examples

## Not run: 
  # Regression example:
  nRow <- 5000
  x <- data.frame(replicate(6, rnorm(nRow)))
  y <- with(x, X1^2 + sin(X2) + X3 * X4) # courtesy of S. Welling.

  # Classification example:
  data(iris)

  # Generic invocation:
  rb <- Rborist(x, y)

## End(Not run)

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