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input_sensitivity and ard plotting

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Max Zwiessele 2014-02-24 14:47:43 +00:00
parent d90d67a8c1
commit b200b9fa90
11 changed files with 108 additions and 83 deletions
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5
GPy/examples/dimensionality_reduction.py
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@ -164,12 +164,11 @@ def bgplvm_oil(optimize=True, verbose=1, plot=True, N=200, Q=7, num_inducing=40,
_np.random.seed(0)
data = GPy.util.datasets.oil()
kernel = GPy.kern.RBF(Q, 1., [.1] * Q, ARD=True)# + GPy.kern.Bias(Q, _np.exp(-2))
kernel = GPy.kern.RBF(Q, 1., _np.random.uniform(0,1,(Q,)), ARD=True)# + GPy.kern.Bias(Q, _np.exp(-2))
Y = data['X'][:N]
m = GPy.models.BayesianGPLVM(Y, Q, kernel=kernel, num_inducing=num_inducing, **k)
m.data_labels = data['Y'][:N].argmax(axis=1)
m['.*noise.var'] = Y.var() / 100.
if optimize:
m.optimize('scg', messages=verbose, max_iters=max_iters, gtol=.05)