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exact gaussian inference now accepts a kern and X, not K

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James Hensman 2014-01-24 11:03:17 +00:00
parent 206ec5dfc1
commit e94b16e0b3
4 changed files with 58 additions and 519 deletions
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6
GPy/inference/latent_function_inference/exact_gaussian_inference.py
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@ -22,15 +22,15 @@ class ExactGaussianInference(object):
def get_YYTfactor(self, Y):
"""
find a matrix L which satisfies LLT = YYT.
find a matrix L which satisfies LL^T = YY^T.
Note that L may have fewer columns than Y.
Note that L may have fewer columns than Y, else L=Y.
"""
N, D = Y.shape
if (N>D):
return Y
else:
#if Y in self.cache, return self.Cache[Y], else stor Y in cache and return L.
#if Y in self.cache, return self.Cache[Y], else store Y in cache and return L.
raise NotImplementedError, 'TODO' #TODO
def inference(self, K, likelihood, Y, Y_metadata=None):