regrDataset: Generator of nonlinear regression dataset
In gbonte/gbcode: Code from the handbook "Statistical foundations of machine learning"
regrDataset R Documentation
Generator of nonlinear regression dataset
Description
Generator of nonlinear regression dataset
Usage
regrDataset(N, n, neff, sdn, seed = 0, diag = TRUE)
Arguments
N:
number of observations
n:
number of observed variables
neff:
number of effective features
sdn:
standard deviation of Gaussian noise
seed:
seed random generator
Author(s)
Gianluca Bontempi gbonte@ulb.ac.be
References
Examples
N<-100
n<-5
neff<-3
R<-regrDataset(N,n,neff,0.1)
X<-R$X
Y<-R$Y
feat<-R$feat
gbonte/gbcode documentation built on Aug. 30, 2024, 1:11 a.m.
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| regrDataset | R Documentation |
Generator of nonlinear regression dataset
Description
Generator of nonlinear regression dataset
Usage
regrDataset(N, n, neff, sdn, seed = 0, diag = TRUE)
Arguments
N: |
number of observations |
n: |
number of observed variables |
neff: |
number of effective features |
sdn: |
standard deviation of Gaussian noise |
seed: |
seed random generator |
Author(s)
Gianluca Bontempi gbonte@ulb.ac.be
References
Examples
N<-100
n<-5
neff<-3
R<-regrDataset(N,n,neff,0.1)
X<-R$X
Y<-R$Y
feat<-R$feat
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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