CVST: noisySine – R documentation

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noisySine

Regression and Classification Toy Data Set

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

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

`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.

Returns a data set of type CVST.data

Tammo Krueger <tammokrueger@googlemail.com>

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

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

Fast Cross-Validation via Sequential Testing

v0.2-2

GPL (>= 2.0)

Authors

Tammo Krueger, Mikio Braun

Initial release

2018-05-26