Package paramz :: Module transformations :: Class NormalNaturalThroughEta
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Class NormalNaturalThroughEta

source code


Do not use, not officially supported!

Instance Methods [hide private]
 
__init__(self, mu_indices, var_indices)
x.__init__(...) initializes x; see help(type(x)) for signature
source code
 
gradfactor(self, muvar, dmuvar)
df(opt_param)_dopt_param evaluated at self.f(opt_param)=model_param, times the gradient dL_dmodel_param,
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__str__(self)
str(x)
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Inherited from NormalEta: f, finv, initialize

Inherited from Transformation: __repr__, gradfactor_non_natural, log_jacobian, log_jacobian_grad, plot

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, mu_indices=None, var_indices=None)
Do not use, not officially supported!
source code
Class Variables [hide private]
  _instances = []

Inherited from Transformation: domain

Inherited from Transformation (private): _instance

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__new__(cls, mu_indices=None, var_indices=None)
Static Method

source code 

Do not use, not officially supported!

Returns: a new object with type S, a subtype of T
Overrides: object.__new__

__init__(self, mu_indices, var_indices)
(Constructor)

source code 

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

Overrides: object.__init__
(inherited documentation)

gradfactor(self, muvar, dmuvar)

source code 

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)

__str__(self)
(Informal representation operator)

source code 

str(x)

Overrides: object.__str__
(inherited documentation)