noisySine {CVST}R Documentation

Regression and Classification Toy Data Set

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 <tammokrueger@googlemail.com>

References

Tammo Krueger, Danny Panknin, and Mikio Braun. Fast cross-validation via sequential analysis. Neural Information Processing Systems (NIPS), Big Learning Workshop, 2011. URL http://biglearn.org/2011/index.php/Papers\#paper2.

Tammo Krueger, Danny Panknin, and Mikio Braun. Fast cross-validation via sequential testing. CoRR, abs/1206.2248, 2012. URL http://arxiv.org/abs/1206.2248.

See Also

constructData

Examples

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

[Package CVST version 0.2-1 Index]