apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-06-02 14:45:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Modified gradient_checker to allow for variable 'f'

Browse source
This commit is contained in:
Alan Saul 2013-09-11 11:54:47 +01:00
parent 1dd83291fe
commit 64e65b846d
1 changed files with 15 additions and 15 deletions
Download patch file Download diff file Expand all files Collapse all files

8
GPy/models/gradient_checker.py
View file

@ -81,8 +81,8 @@ class GradientChecker(Model):
# self._param_names.extend(map(lambda nameshape: ('_'.join(nameshape)).strip('_'), itertools.izip(itertools.repeat(name), itertools.imap(lambda t: '_'.join(map(str, t)), itertools.product(*map(lambda xi: range(xi), shape))))))
self.args = args
self.kwargs = kwargs
self.f = f
self.df = df
self._f = f
self._df = df
def _get_x(self):
if len(self.names) > 1:
@ -90,10 +90,10 @@ class GradientChecker(Model):
return [self.__getattribute__(self.names[0])] + list(self.args)
def log_likelihood(self):
return float(numpy.sum(self.f(*self._get_x(), **self.kwargs)))
return float(numpy.sum(self._f(*self._get_x(), **self.kwargs)))
def _log_likelihood_gradients(self):
return numpy.atleast_1d(self.df(*self._get_x(), **self.kwargs)).flatten()
return numpy.atleast_1d(self._df(*self._get_x(), **self.kwargs)).flatten()
def _get_params(self):