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starting to sort out likelihoods WARNING not working

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Max Zwiessele 2013-10-17 14:38:43 +01:00
parent bc765134c0
commit 055eb3b70b
10 changed files with 247 additions and 142 deletions
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32
GPy/likelihoods/gaussian.py
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@ -31,8 +31,10 @@ class Gaussian(likelihood):
self.set_data(data)
self._variance = np.asarray(variance) + 1.
self._set_params(np.asarray(variance))
self._variance = np.asarray(variance) + 1
self.variance = np.asarray(variance)
self.set_as_parameter(noise_variance=self.variance)
# self._set_params(np.asarray(variance))
super(Gaussian, self).__init__()
@ -50,24 +52,24 @@ class Gaussian(likelihood):
self.trYYT = np.sum(np.square(self.Y))
self.YYT_factor = self.Y
def _get_params(self):
return np.asarray(self._variance)
def _get_param_names(self):
return ["noise_variance"]
def _set_params(self, x):
x = np.float64(x)
if np.all(self._variance != x):
if x == 0.:#special case of zero noise
# def _get_params(self):
# return np.asarray(self._variance)
#
# def _get_param_names(self):
# return ["noise_variance"]
#
# def _set_params(self, x):
def parameters_changed(self):
if np.any(self._variance != self.variance):
if np.all(self.variance == 0.):#special case of zero noise
self.precision = np.inf
self.V = None
else:
self.precision = 1. / x
self.precision = 1. / self.variance
self.V = (self.precision) * self.Y
self.VVT_factor = self.precision * self.YYT_factor
self.covariance_matrix = np.eye(self.N) * x
self._variance = x
self.covariance_matrix = np.eye(self.N) * self.variance
self._variance = self.variance
def predictive_values(self, mu, var, full_cov):
"""