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Fixing GP_EP

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This commit is contained in:
Ricardo 2013-01-25 09:30:31 +00:00
parent d286ffe633
commit b6ffb57263
8 changed files with 638 additions and 5 deletions
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3
GPy/examples/classification.py
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@ -76,11 +76,10 @@ def toy_linear_1d_classification(model_type='Full', inducing=4, seed=default_see
# create simple GP model
if model_type=='Full':
m = GPy.models.simple_GP_EP(data['X'],likelihood)
m = GPy.models.GP_EP(data['X'],likelihood)
else:
# create sparse GP EP model
m = GPy.models.sparse_GP_EP(data['X'],likelihood=likelihood,inducing=inducing,ep_proxy=model_type)
m.constrain_positive('var')
m.constrain_positive('len')