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[setxy] always run the update after updating X and Y

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This commit is contained in:
Max Zwiessele 2015-09-04 16:01:44 +01:00
parent d28483807d
commit a980c201a9
1 changed files with 9 additions and 10 deletions
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19
GPy/core/gp.py
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@ -114,7 +114,7 @@ class GP(Model):
self._predictive_variable = self.X
def set_XY(self, X=None, Y=None, trigger_update=True):
def set_XY(self, X=None, Y=None):
"""
Set the input / output data of the model
This is useful if we wish to change our existing data but maintain the same model
@ -124,7 +124,7 @@ class GP(Model):
:param Y: output observations
:type Y: np.ndarray
"""
if trigger_update: self.update_model(False)
self.update_model(False)
if Y is not None:
if self.normalizer is not None:
self.normalizer.scale_by(Y)
@ -140,34 +140,33 @@ class GP(Model):
assert isinstance(X, type(self.X)), "The given X must have the same type as the X in the model!"
self.unlink_parameter(self.X)
self.X = X
self.link_parameters(self.X)
self.link_parameter(self.X)
else:
self.unlink_parameter(self.X)
from ..core import Param
self.X = Param('latent mean',X)
self.link_parameters(self.X)
self.link_parameter(self.X)
else:
self.X = ObsAr(X)
if trigger_update: self.update_model(True)
if trigger_update: self._trigger_params_changed()
self.update_model(True)
def set_X(self,X, trigger_update=True):
def set_X(self,X):
"""
Set the input data of the model
:param X: input observations
:type X: np.ndarray
"""
self.set_XY(X=X, trigger_update=trigger_update)
self.set_XY(X=X)
def set_Y(self,Y, trigger_update=True):
def set_Y(self,Y):
"""
Set the output data of the model
:param X: output observations
:type X: np.ndarray
"""
self.set_XY(Y=Y, trigger_update=trigger_update)
self.set_XY(Y=Y)
def parameters_changed(self):
"""