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mzwiessele 2014-07-02 11:15:25 -07:00
parent 4a8a9bac54
commit d592f680f3
2 changed files with 10 additions and 1 deletions
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6
GPy/core/parameterization/parameterized.py
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@ -8,15 +8,21 @@ from re import compile, _pattern_type
from param import ParamConcatenation from param import ParamConcatenation
from parameter_core import HierarchyError, Parameterizable, adjust_name_for_printing from parameter_core import HierarchyError, Parameterizable, adjust_name_for_printing
import logging
logger = logging.getLogger("parameters changed meta")
class ParametersChangedMeta(type): class ParametersChangedMeta(type):
def __call__(self, *args, **kw): def __call__(self, *args, **kw):
self._in_init_ = True self._in_init_ = True
#import ipdb;ipdb.set_trace() #import ipdb;ipdb.set_trace()
self = super(ParametersChangedMeta, self).__call__(*args, **kw) self = super(ParametersChangedMeta, self).__call__(*args, **kw)
logger.debug("finished init")
self._in_init_ = False self._in_init_ = False
logger.debug("connecting parameters")
self._highest_parent_._connect_parameters() self._highest_parent_._connect_parameters()
self._highest_parent_._notify_parent_change() self._highest_parent_._notify_parent_change()
self._highest_parent_._connect_fixes() self._highest_parent_._connect_fixes()
logger.debug("calling parameters changed")
self.parameters_changed() self.parameters_changed()
return self return self

5
GPy/core/sparse_gp.py
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@ -8,6 +8,9 @@ from ..inference.latent_function_inference import var_dtc
from .. import likelihoods from .. import likelihoods
from parameterization.variational import VariationalPosterior from parameterization.variational import VariationalPosterior
import logging
logger = logging.getLogger("sparse gp")
class SparseGP(GP): class SparseGP(GP):
""" """
A general purpose Sparse GP model A general purpose Sparse GP model
@ -46,7 +49,7 @@ class SparseGP(GP):
self.num_inducing = Z.shape[0] self.num_inducing = Z.shape[0]
GP.__init__(self, X, Y, kernel, likelihood, inference_method=inference_method, name=name, Y_metadata=Y_metadata) GP.__init__(self, X, Y, kernel, likelihood, inference_method=inference_method, name=name, Y_metadata=Y_metadata)
self.logger.info("Adding Z as parameter") logger.info("Adding Z as parameter")
self.add_parameter(self.Z, index=0) self.add_parameter(self.Z, index=0)
def has_uncertain_inputs(self): def has_uncertain_inputs(self):