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Rename Binomial to Bernoulli (maybe generalise it with the constant

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later, but tilted distribution may change)
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Alan Saul 2013-10-17 15:04:55 +01:00
parent afd38df1ef
commit f3fd9f1325
9 changed files with 34 additions and 33 deletions
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2
GPy/examples/classification.py
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@ -116,7 +116,7 @@ def toy_heaviside(seed=default_seed):
Y[Y.flatten() == -1] = 0
# Model definition
noise_model = GPy.likelihoods.binomial(GPy.likelihoods.noise_models.gp_transformations.Heaviside())
noise_model = GPy.likelihoods.bernoulli(GPy.likelihoods.noise_models.gp_transformations.Heaviside())
likelihood = GPy.likelihoods.EP(Y,noise_model)
m = GPy.models.GPClassification(data['X'], likelihood=likelihood)