Package paramz :: Module transformations :: Class Logexp

[frames] | no frames]

Class Logexp

source code

Instance Methods

[hide private]

f(self, x)

source code

finv(self, f)

source code

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

source code

initialize(self, f)
produce a sensible initial value for f(x)

source code

log_jacobian(self, model_param)
compute the log of the jacobian of f, evaluated at f(x)= model_param

source code

log_jacobian_grad(self, model_param)
compute the drivative of the log of the jacobian of f, evaluated at f(x)= model_param

source code

__str__(self)
str(x)

source code

Inherited from Transformation: __repr__, gradfactor_non_natural, plot

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

Static Methods

[hide private]

Inherited from Transformation: __new__

Class Variables

[hide private]

domain = 'positive'
hash(x)

_instance = Logexp
hash(x)

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

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)

log_jacobian(self, model_param)

source code

compute the log of the jacobian of f, evaluated at f(x)= model_param

Overrides: Transformation.log_jacobian: (inherited documentation)

log_jacobian_grad(self, model_param)

source code

compute the drivative of the log of the jacobian of f, evaluated at f(x)= model_param

Overrides: Transformation.log_jacobian_grad: (inherited documentation)

str(self)
(Informal representation operator)

source code

str(x)

Overrides: object.__str__: (inherited documentation)

Class Logexp

f(self, x)

finv(self, f)

gradfactor(self, f, df)

initialize(self, f)

log_jacobian(self, model_param)

log_jacobian_grad(self, model_param)

__str__(self) (Informal representation operator)

str(self)
(Informal representation operator)