apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-10 12:32:40 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

more massive and destructive changes everywhere

Browse source
This commit is contained in:
James Hensman 2013-12-05 15:09:31 -05:00
parent 881800126f
commit 5ec64d2279
18 changed files with 202 additions and 166 deletions
Download patch file Download diff file Expand all files Collapse all files

13
GPy/models/gp_regression.py
View file

@ -16,28 +16,21 @@ class GPRegression(GP):
:param X: input observations
:param Y: observed values
:param kernel: a GPy kernel, defaults to rbf
:param normalize_X: whether to normalize the input data before computing (predictions will be in original scales)
:type normalize_X: False|True
:param normalize_Y: whether to normalize the input data before computing (predictions will be in original scales)
:type normalize_Y: False|True
.. Note:: Multiple independent outputs are allowed using columns of Y
"""
def __init__(self, X, Y, kernel=None, normalize_X=False, normalize_Y=False):
def __init__(self, X, Y, kernel=None):
if kernel is None:
kernel = kern.rbf(X.shape[1])
likelihood = likelihoods.Gaussian(Y, normalize=normalize_Y)
likelihood = likelihoods.Gaussian()
super(GPRegression, self).__init__(X, likelihood, kernel, normalize_X=normalize_X)
self.ensure_default_constraints()
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='gp regression')
def getstate(self):
return GP.getstate(self)
def setstate(self, state):
return GP.setstate(self, state)
pass