noisySine {CVST} | R Documentation |
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 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.
nsine = noisySine(1000) plot(nsine, col=nsine$y) nsinc = noisySinc(1000) plot(nsinc)