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Laplace now appears to be grad checking again

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Alan Saul 2014-02-10 15:40:06 +00:00
parent c6d466e72d
commit 6cbf810856
6 changed files with 43 additions and 37 deletions
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7
GPy/examples/regression.py
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@ -281,11 +281,12 @@ def toy_poisson_rbf_1d_laplace(optimize=True, plot=True):
f_true = np.random.multivariate_normal(np.zeros(x_len), GPy.kern.rbf(1).K(X))
Y = np.array([np.random.poisson(np.exp(f)) for f in f_true])[:,None]
noise_model = GPy.likelihoods.poisson()
likelihood = GPy.likelihoods.Laplace(Y,noise_model)
kern = GPy.kern.rbf(1)
poisson_lik = GPy.likelihoods.Poisson()
laplace_inf = GPy.inference.latent_function_inference.LaplaceInference()
# create simple GP Model
m = GPy.models.GPRegression(X, Y, likelihood=likelihood)
m = GPy.core.GP(X, Y, kernel=kern, likelihood=poisson_lik, inference_method=laplace_inf)
if optimize:
m.optimize(optimizer)