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bug fix (kernel copy) in mrd

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This commit is contained in:
Max Zwiessele 2013-05-22 17:39:27 +01:00
parent 3e7b833d0f
commit 8f5d577bbb
4 changed files with 12 additions and 12 deletions
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10
GPy/models/mrd.py
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@ -44,7 +44,7 @@ class MRD(model):
"""
def __init__(self, likelihood_or_Y_list, Q, M=10, names=None,
kernels=None, initx='PCA',
initz='permute', _debug=False, **kwargs):
initz='permute', _debug=False, **kw):
if names is None:
self.names = ["{}".format(i + 1) for i in range(len(likelihood_or_Y_list))]
@ -64,7 +64,7 @@ class MRD(model):
self._init = True
X = self._init_X(initx, likelihood_or_Y_list)
Z = self._init_Z(initz, X)
self.bgplvms = [Bayesian_GPLVM(l, k, X=X, Z=Z, M=self.M, **kwargs) for l, k in zip(likelihood_or_Y_list, kernels)]
self.bgplvms = [Bayesian_GPLVM(l, Q=Q, kernel=k, X=X, Z=Z, M=self.M, **kw) for l, k in zip(likelihood_or_Y_list, kernels)]
del self._init
self.gref = self.bgplvms[0]
@ -229,12 +229,12 @@ class MRD(model):
else:
Ylist.append(likelihood_or_Y.Y)
del likelihood_list
if init in "PCA_single":
if init in "PCA_concat":
X = PCA(numpy.hstack(Ylist), self.Q)[0]
elif init in "PCA_single":
X = numpy.zeros((Ylist[0].shape[0], self.Q))
for qs, Y in itertools.izip(numpy.array_split(numpy.arange(self.Q), len(Ylist)), Ylist):
X[:, qs] = PCA(Y, len(qs))[0]
elif init in "PCA_concat":
X = PCA(numpy.hstack(Ylist), self.Q)[0]
else: # init == 'random':
X = numpy.random.randn(Ylist[0].shape[0], self.Q)
self.X = X