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Fixed max_iters argument for scg

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Andreas 2013-07-14 21:35:45 +01:00
parent 77de03f2a1
commit 13e0762e18
1 changed files with 3 additions and 3 deletions
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6
GPy/examples/dimensionality_reduction.py
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@ -114,7 +114,7 @@ def swiss_roll(optimize=True, N=1000, num_inducing=15, Q=4, sigma=.2, plot=False
m.optimize('scg', messages=1) m.optimize('scg', messages=1)
return m return m
def BGPLVM_oil(optimize=True, N=200, Q=10, num_inducing=15, max_f_eval=50, plot=False, **k): def BGPLVM_oil(optimize=True, N=200, Q=10, num_inducing=15, max_iters=50, plot=False, **k):
np.random.seed(0) np.random.seed(0)
data = GPy.util.datasets.oil() data = GPy.util.datasets.oil()
@ -135,9 +135,9 @@ def BGPLVM_oil(optimize=True, N=200, Q=10, num_inducing=15, max_f_eval=50, plot=
# optimize # optimize
if optimize: if optimize:
m.constrain_fixed('noise') m.constrain_fixed('noise')
m.optimize('scg', messages=1, max_f_eval=100, gtol=.05) m.optimize('scg', messages=1, max_iters=100, gtol=.05)
m.constrain_positive('noise') m.constrain_positive('noise')
m.optimize('scg', messages=1, max_f_eval=max_f_eval, gtol=.05) m.optimize('scg', messages=1, max_iters=max_iters, gtol=.05)
if plot: if plot:
y = m.likelihood.Y[0, :] y = m.likelihood.Y[0, :]