sim.Circle {bark} | R Documentation |
The classification problem Circle is described in the BARK paper (2008). Inputs are dim independent variables uniformly distributed on the interval [-1,1], only the first 2 out of these dim are actually signals. Outputs are created according to the formula
y = 1(x1^2+x2^2 <= 2/π)
sim.Circle(n, dim=5)
n |
number of data points to create |
dim |
number of dimension of the problem, no less than 2. |
Returns a list with components
x |
input values (independent variables) |
y |
0/1 output values (dependent variable) |
Ouyang, Zhi (2008) Bayesian Additive Regression Kernels. Duke University. Ph.D. dissertation, page 58. at: http://stat.duke.edu/people/theses/OuyangZ.html