create.hypersphere.data | R Documentation |
Creates hypersphere data with X as a n * dim
matrix of sampled columns
from dist
. dist
must be a function
n -> vector length (n)
and should (probably) sample randomly to create X
.
Y is a vector with entries Y[i]
= +1
if the L_norm
of X[i, ]
is < radius^norm
,
and Y[i]
= -1
otherwise.
create.hypersphere.data( dim, n, dist = function(x) runif(x, -1, 1), norm = 2, radius = 1 )
dim |
|
n |
|
dist |
|
norm |
|
radius |
|
list(X = [Matrix], Y = [vector], orig.features = logical)
Other Artificial Datasets:
clonetask()
,
create.linear.data()
,
create.linear.toy.data()
,
create.regr.task()
,
task.add.permuted.cols()
,
task.add.random.cols()
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