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Examples working

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Ricardo Andrade 2013-03-11 14:26:26 +00:00
parent 7c3c2fc9c0
commit ea6da11aec
1 changed files with 2 additions and 1 deletions
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GPy/examples/classification.py
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@ -129,7 +129,8 @@ def sparse_toy_linear_1d_classification(seed=default_seed):
Z = np.random.uniform(data['X'].min(),data['X'].max(),(10,1)) Z = np.random.uniform(data['X'].min(),data['X'].max(),(10,1))
# Model definition # Model definition
m = GPy.models.sparse_GP(data['X'],likelihood=likelihood,kernel=kernel,Z=Z) m = GPy.models.sparse_GP(data['X'],likelihood=likelihood,kernel=kernel,Z=Z,normalize_X=True)
m.set('len',.5)
m.ensure_default_constraints() m.ensure_default_constraints()
# Optimize # Optimize