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fixed minor bug in sparse gp minibatch

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This commit is contained in:
Nicolo Fusi 2014-12-03 17:18:22 -08:00
parent 1c65e23c18
commit c14aef948e
1 changed files with 3 additions and 2 deletions
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5
GPy/models/sparse_gp_minibatch.py
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@ -47,10 +47,11 @@ Created on 3 Nov 2014
def __init__(self, X, Y, Z, kernel, likelihood, inference_method=None, def __init__(self, X, Y, Z, kernel, likelihood, inference_method=None,
name='sparse gp', Y_metadata=None, normalizer=False, name='sparse gp', Y_metadata=None, normalizer=False,
missing_data=False, stochastic=False, batchsize=1): missing_data=False, stochastic=False, batchsize=1):
#pick a sensible inference method
# pick a sensible inference method
if inference_method is None: if inference_method is None:
if isinstance(likelihood, likelihoods.Gaussian): if isinstance(likelihood, likelihoods.Gaussian):
inference_method = var_dtc.VarDTC(limit=1 if not self.missing_data else Y.shape[1]) inference_method = var_dtc.VarDTC(limit=1 if not missing_data else Y.shape[1])
else: else:
#inference_method = ?? #inference_method = ??
raise NotImplementedError, "what to do what to do?" raise NotImplementedError, "what to do what to do?"