noisySine: Regression and Classification Toy Data Set

In tammok/CVST: Fast Cross-Validation via Sequential Testing

Description

Regression and Classification Toy Data Set based on the sine and sinc function.

Usage

noisySine(n, dim = 5, sigma = 0.25)
noisySinc(n, dim = 2, sigma = 0.1)

Arguments

n	Number of data points that should be generated.
dim	Intrinsic dimensionality of the data set (see references for details).
sigma	Standard deviation of the noise component.

Value

Returns a data set of type CVST.data

Author(s)

Tammo Krueger <[e-mail]>

References

Tammo Krueger, Danny Panknin, and Mikio Braun. Fast cross-validation via sequential testing. Journal of Machine Learning Research 16 (2015) 1103-1155. URL https://jmlr.org/papers/volume16/krueger15a/krueger15a.pdf.

See Also

constructData

Examples

nsine = noisySine(1000)
plot(nsine, col=nsine$y)
nsinc = noisySinc(1000)
plot(nsinc)

tammok/CVST documentation built on Feb. 23, 2022, 12:12 p.m.