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GPLVM accepts an initial value for X (in case you don't want to use the default random/PCA init)

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This commit is contained in:
Nicolo Fusi 2012-12-07 15:16:52 +00:00
parent b7021261ea
commit e415dcdd93
1 changed files with 3 additions and 2 deletions
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5
GPy/models/GPLVM.py
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@ -22,8 +22,9 @@ class GPLVM(GP_regression):
:type init: 'PCA'|'random'
"""
def __init__(self, Y, Q, init='PCA', **kwargs):
X = self.initialise_latent(init, Q, Y)
def __init__(self, Y, Q, init='PCA', X = None, **kwargs):
if X is None:
X = self.initialise_latent(init, Q, Y)
GP_regression.__init__(self, X, Y, **kwargs)
def initialise_latent(self, init, Q, Y):