ex1data: Generating Three-class Data with 50 Predictors

In bst: Gradient Boosting

Generating Three-class Data with 50 Predictors

Description

Randomly generate data for a three-class model.

Usage

ex1data(n.data, p=50)

Arguments

n.data	number of data samples.
p	number of predictors.

Details

The data is generated based on Example 1 described in Wang (2012).

Value

A list with n.data by p predictor matrix x, three-class response y and conditional probabilities.

Author(s)

Zhu Wang

References

Zhu Wang (2012), Multi-class HingeBoost: Method and Application to the Classification of Cancer Types Using Gene Expression Data. Methods of Information in Medicine, 51(2), 162–7.

Examples

## Not run: 
dat <- ex1data(100, p=5)
mhingebst(x=dat$x, y=dat$y)

## End(Not run)

bst documentation built on Jan. 7, 2023, 1:23 a.m.