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Fixed parameter bugs

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This commit is contained in:
Alan Saul 2014-02-07 15:16:05 +00:00
parent 648609c3b1
commit c28f11f291
2 changed files with 10 additions and 6 deletions
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12
GPy/core/parameterization/transformations.py
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@ -4,9 +4,9 @@
import numpy as np
from domains import _POSITIVE,_NEGATIVE, _BOUNDED
import sys
import sys
import weakref
_lim_val = -np.log(sys.float_info.epsilon)
_lim_val = -np.log(sys.float_info.epsilon)
class Transformation(object):
domain = None
@ -94,7 +94,7 @@ class LogexpClipped(Logexp):
def __str__(self):
return '+ve_c'
class Exponent(Transformation):
# TODO: can't allow this to go to zero, need to set a lower bound. Similar with negative Exponent below. See old MATLAB code.
domain = _POSITIVE
@ -162,9 +162,11 @@ class Logistic(Transformation):
def initialize(self, f):
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)
#return np.where(np.logical_or(f < self.lower, f > self.upper), self.f(f * 0.), f)
#FIXME: Max, zeros_like right?
return np.where(np.logical_or(f < self.lower, f > self.upper), self.f(np.zeros_like(f)), f)
def __str__(self):
return '{},{}'.format(self.lower, self.upper)