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Imports: N, Set, Dataset, debug
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Generate a dataset where each label is some normally distributed beastie around specified mean (0 if None). snr is assuming that signal has std 1.0 so we just divide noise by snr Probably it is a generalization of pureMultivariateSignal where means=[ [0,1], [1,0] ] Specify either means or nonbogus_features so means get assigned accordingly |
Generate '6d robot arm' dataset (Williams and Rasmussen 1996) Was originally created in order to test the correctness of the implementation of kernel ARD. For full details see: http://www.gaussianprocess.org/gpml/code/matlab/doc/regression.html#ard x_1 picked randomly in [-1.932, -0.453] x_2 picked randomly in [0.534, 3.142] r_1 = 2.0 r_2 = 1.3 f(x_1,x_2) = r_1 cos (x_1) + r_2 cos(x_1 + x_2) + N(0,0.0025) etc. Expected relevances: ell_1 1.804377 ell_2 1.963956 ell_3 8.884361 ell_4 34.417657 ell_5 1081.610451 ell_6 375.445823 sigma_f 2.379139 sigma_n 0.050835 |
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