Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Static Methods

[hide private]

a new object with type S, a subtype of T

__new__(cls, lower=1e-06, *args, **kwargs)

source code

Class Variables

[hide private]

max_bound = 1e+100

min_bound = 1e-10

log_max_bound = 230.25850929940458

log_min_bound = -23.025850929940457

domain = _POSITIVE
hash(x)

_instances = []

Inherited from Logexp (private): _instance

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

new(cls, lower=1e-06, *args, **kwargs)
Static Method

source code

Returns: a new object with type S, a subtype of T
Overrides: object.__new__: (inherited documentation)

init(self, lower=1e-06)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__: (inherited documentation)

df(opt_param)_dopt_param evaluated at self.f(opt_param)=model_param, times the gradient dL_dmodel_param,

i.e.: define

.. math:

   rac{rac{\partial L}{\partial f}\left(\left.\partial f(x)}{\partial x}
ight|_{x=f^{-1}(f)
ight)}

Overrides: Transformation.gradfactor: (inherited documentation)

initialize(self, f)

source code

produce a sensible initial value for f(x)

Overrides: Transformation.initialize: (inherited documentation)

str(self)
(Informal representation operator)

source code

str(x)

Overrides: object.__str__: (inherited documentation)

Class LogexpClipped

__new__(cls, lower=1e-06, *args, **kwargs) Static Method

__init__(self, lower=1e-06) (Constructor)

f(self, x)

finv(self, f)

gradfactor(self, f, df)

initialize(self, f)

__str__(self) (Informal representation operator)

new(cls, lower=1e-06, *args, **kwargs)
Static Method

init(self, lower=1e-06)
(Constructor)

str(self)
(Informal representation operator)