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Normalize Y given as an argument to constructor

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Andreas 2013-10-08 11:28:15 +01:00
parent 2558418b08
commit f008c1919b
1 changed files with 2 additions and 2 deletions
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4
GPy/models/svigp_regression.py
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@ -25,7 +25,7 @@ class SVIGPRegression(SVIGP):
""" """
def __init__(self, X, Y, kernel=None, Z=None, num_inducing=10, q_u=None, batchsize=10): def __init__(self, X, Y, kernel=None, Z=None, num_inducing=10, q_u=None, batchsize=10, normalize_Y=False):
# kern defaults to rbf (plus white for stability) # kern defaults to rbf (plus white for stability)
if kernel is None: if kernel is None:
kernel = kern.rbf(X.shape[1], variance=1., lengthscale=4.) + kern.white(X.shape[1], 1e-3) kernel = kern.rbf(X.shape[1], variance=1., lengthscale=4.) + kern.white(X.shape[1], 1e-3)
@ -38,7 +38,7 @@ class SVIGPRegression(SVIGP):
assert Z.shape[1] == X.shape[1] assert Z.shape[1] == X.shape[1]
# likelihood defaults to Gaussian # likelihood defaults to Gaussian
likelihood = likelihoods.Gaussian(Y, normalize=False) likelihood = likelihoods.Gaussian(Y, normalize=normalize_Y)
SVIGP.__init__(self, X, likelihood, kernel, Z, q_u=q_u, batchsize=batchsize) SVIGP.__init__(self, X, likelihood, kernel, Z, q_u=q_u, batchsize=batchsize)
self.load_batch() self.load_batch()