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observer pattern has a handle to trigger only > min_priority observers

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This commit is contained in:
Max Zwiessele 2014-02-28 11:33:31 +00:00
parent 058ab679e7
commit 2771e3f71f
8 changed files with 181 additions and 90 deletions
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8
GPy/core/parameterization/transformations.py
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@ -6,8 +6,11 @@ import numpy as np
from domains import _POSITIVE,_NEGATIVE, _BOUNDED
import weakref
import sys
#_lim_val = -np.log(sys.float_info.epsilon)
_exp_lim_val = np.finfo(np.float64).max
_lim_val = np.log(_exp_lim_val)#-np.log(sys.float_info.epsilon)
_lim_val = np.log(_exp_lim_val)#
#===============================================================================
# Fixing constants
@ -35,7 +38,6 @@ class Transformation(object):
""" produce a sensible initial value for f(x)"""
raise NotImplementedError
def plot(self, xlabel=r'transformed $\theta$', ylabel=r'$\theta$', axes=None, *args,**kw):
import sys
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
import matplotlib.pyplot as plt
from ...plotting.matplot_dep import base_plots
@ -52,7 +54,7 @@ class Transformation(object):
class Logexp(Transformation):
domain = _POSITIVE
def f(self, x):
return np.where(x>_lim_val, x, np.log(1. + np.exp(np.clip(x, -np.inf, _lim_val))))
return np.where(x>_lim_val, x, np.log(1. + np.exp(np.clip(x, -_lim_val, _lim_val))))
#raises overflow warning: return np.where(x>_lim_val, x, np.log(1. + np.exp(x)))
def finv(self, f):
return np.where(f>_lim_val, f, np.log(np.exp(f) - 1.))