print.ndmodel: Print function for class ndmodel

In noisemodel: Noise Models for Classification Datasets

Print function for class ndmodel

Description

This method displays the basic information about the noise introduction process contained in an object of class ndmodel.

Usage

## S3 method for class 'ndmodel'
print(x, ...)

Arguments

x	an object of class ndmodel.
...	other options to pass to the function.

Details

This function presents the basic information of the noise introduction process and the resulting noisy dataset contained in the object x of class ndmodel. The information offered is as follows:

• the name of the noise introduction model.

• the parameters associated with the noise model.

• the number of noisy and clean samples in the dataset.

Value

This function does not return any value.

See Also

summary.ndmodel, plot.ndmodel, sym_uni_ln, sym_cuni_ln, sym_uni_an

Examples

# load the dataset
data(iris2D)

# usage of the default method
set.seed(9)
outdef <- sym_uni_ln(x = iris2D[,-ncol(iris2D)], y = iris2D[,ncol(iris2D)], level = 0.1)

# show results
print(outdef)

noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.