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Merge from upstream

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Mike Croucher 2015-03-13 14:23:40 +00:00
commit 7930eb646f
16 changed files with 214 additions and 103 deletions
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GPy/core/gp.py
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@ -89,7 +89,7 @@ class GP(Model):
self.link_parameter(self.kern)
self.link_parameter(self.likelihood)
def set_XY(self, X=None, Y=None):
def set_XY(self, X=None, Y=None, trigger_update=True):
"""
Set the input / output data of the model
This is useful if we wish to change our existing data but maintain the same model
@ -99,7 +99,7 @@ class GP(Model):
:param Y: output observations
:type Y: np.ndarray
"""
self.update_model(False)
if trigger_update: self.update_model(False)
if Y is not None:
if self.normalizer is not None:
self.normalizer.scale_by(Y)
@ -123,26 +123,26 @@ class GP(Model):
self.link_parameters(self.X)
else:
self.X = ObsAr(X)
self.update_model(True)
self._trigger_params_changed()
if trigger_update: self.update_model(True)
if trigger_update: self._trigger_params_changed()
def set_X(self,X):
def set_X(self,X, trigger_update=True):
"""
Set the input data of the model
:param X: input observations
:type X: np.ndarray
"""
self.set_XY(X=X)
self.set_XY(X=X, trigger_update=trigger_update)
def set_Y(self,Y):
def set_Y(self,Y, trigger_update=True):
"""
Set the output data of the model
:param X: output observations
:type X: np.ndarray
"""
self.set_XY(Y=Y)
self.set_XY(Y=Y, trigger_update=trigger_update)
def parameters_changed(self):
"""