mlbench (version 0.5-7)

mlbench.xor: Continuous XOR Benchmark Problem

Description

The inputs of the XOR problem are uniformly distributed on the d-dimensional cube with corners ${\pm 1}$. Each pair of opposite corners form one class, hence the total number of classes is $2^(d-1)$

Usage

mlbench.xor(n, d=2)

Arguments

n
number of patterns to create
d
dimension of the XOR problem

Value

  • Returns an object of class "mlbench.xor" with components
  • xinput values
  • classesfactor vector of length n with target classes

Examples

Run this code
# 2d example
p<-mlbench.xor(300,2)
plot(p)
#
# 3d example
p<-mlbench.xor(300,3)
plot(p)

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