apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-21 14:05:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge branch 'devel' of github.com:SheffieldML/GPy into devel

Browse source
This commit is contained in:
Nicolas 2013-05-10 17:48:25 +01:00
commit ab30ed7483
1 changed files with 12 additions and 4 deletions
Download patch file Download diff file Expand all files Collapse all files

16
GPy/core/transformations.py
View file

@ -50,7 +50,9 @@ class logexp_clipped(transformation):
ef = np.exp(f) ef = np.exp(f)
gf = (ef - 1.) / ef gf = (ef - 1.) / ef
return np.where(f < 1e-6, 0, gf) return np.where(f < 1e-6, 0, gf)
def initialize(self, f): def initialize(self,f):
if np.any(f<0.):
print "Warning: changing parameters to satisfy constraints"
return np.abs(f) return np.abs(f)
def __str__(self): def __str__(self):
return '(+ve)' return '(+ve)'
@ -65,6 +67,8 @@ class exponent(transformation):
def gradfactor(self, f): def gradfactor(self, f):
return f return f
def initialize(self, f): def initialize(self, f):
if np.any(f<0.):
print "Warning: changing parameters to satisfy constraints"
return np.abs(f) return np.abs(f)
def __str__(self): def __str__(self):
return '(+ve)' return '(+ve)'
@ -79,6 +83,8 @@ class negative_exponent(transformation):
def gradfactor(self, f): def gradfactor(self, f):
return f return f
def initialize(self, f): def initialize(self, f):
if np.any(f>0.):
print "Warning: changing parameters to satisfy constraints"
return -np.abs(f) return -np.abs(f)
def __str__(self): def __str__(self):
return '(-ve)' return '(-ve)'
@ -108,9 +114,11 @@ class logistic(transformation):
def finv(self, f): def finv(self, f):
return np.log(np.clip(f - self.lower, 1e-10, np.inf) / np.clip(self.upper - f, 1e-10, np.inf)) return np.log(np.clip(f - self.lower, 1e-10, np.inf) / np.clip(self.upper - f, 1e-10, np.inf))
def gradfactor(self, f): def gradfactor(self, f):
return (f - self.lower) * (self.upper - f) / self.difference return (f-self.lower)*(self.upper-f)/self.difference
def initialize(self, f): def initialize(self,f):
return self.f(f * 0.) if np.any(np.logical_or(f<self.lower,f>self.upper)):
print "Warning: changing parameters to satisfy constraints"
return np.where(np.logical_or(f<self.lower,f>self.upper),self.f(f*0.),f)
def __str__(self): def __str__(self):
return '({},{})'.format(self.lower, self.upper) return '({},{})'.format(self.lower, self.upper)