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ensure_default_constraints is on by default

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This commit is contained in:
James Hensman 2013-06-17 15:57:19 +01:00
parent 4cc26902e4
commit 8fd8288fb8
22 changed files with 16 additions and 71 deletions
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5
GPy/examples/classification.py
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@ -25,7 +25,6 @@ def crescent_data(seed=default_seed): # FIXME
Y[Y.flatten()==-1] = 0
m = GPy.models.GPClassification(data['X'], Y)
m.ensure_default_constraints()
#m.update_likelihood_approximation()
#m.optimize()
m.pseudo_EM()
@ -75,7 +74,6 @@ def toy_linear_1d_classification(seed=default_seed):
# Model definition
m = GPy.models.GPClassification(data['X'], Y)
m.ensure_default_constraints()
# Optimize
#m.update_likelihood_approximation()
@ -106,7 +104,6 @@ def sparse_toy_linear_1d_classification(num_inducing=10,seed=default_seed):
m = GPy.models.SparseGPClassification(data['X'], Y,num_inducing=num_inducing)
m['.*len']= 4.
m.ensure_default_constraints()
# Optimize
#m.update_likelihood_approximation()
# Parameters optimization:
@ -137,7 +134,6 @@ def sparse_crescent_data(num_inducing=10, seed=default_seed):
Y[Y.flatten()==-1]=0
m = GPy.models.SparseGPClassification(data['X'], Y,num_inducing=num_inducing)
m.ensure_default_constraints()
m['.*len'] = 10.
#m.update_likelihood_approximation()
#m.optimize()
@ -163,7 +159,6 @@ def FITC_crescent_data(num_inducing=10, seed=default_seed):
m = GPy.models.FITCClassification(data['X'], Y,num_inducing=num_inducing)
m.constrain_bounded('.*len',1.,1e3)
m.ensure_default_constraints()
m['.*len'] = 3.
#m.update_likelihood_approximation()
#m.optimize()