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swiss_roll adjustments

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Max Zwiessele 2013-05-16 16:02:49 +01:00
parent ba4bd50924
commit 0092ad9403
1 changed files with 1 additions and 1 deletions
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GPy/examples/dimensionality_reduction.py
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@ -109,7 +109,7 @@ def swiss_roll(optimize=True, N=1000, M=15, Q=4, sigma=.2, plot=False):
m.data_t = t m.data_t = t
m.constrain('variance|length', logexp_clipped()) m.constrain('variance|length', logexp_clipped())
m['lengthscale'] = X.var(0).max() / X.var(0) m['lengthscale'] = 1. # X.var(0).max() / X.var(0)
m['noise'] = Y.var() / 100. m['noise'] = Y.var() / 100.
m.ensure_default_constraints() m.ensure_default_constraints()