Package csb :: Package statistics :: Module maxent :: Class MaxentPosterior

Class MaxentPosterior

object --+
         |
        MaxentPosterior

Object to hold and calculate the posterior (log)probability given an exponential family model and corresponding data.

Instance Methods

__call__(self, weights=None, n=100)
Returns the log posterior likelihood

source code

__init__(self, model, data)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

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

Properties
	data
	model
	stats
Inherited from `object`: `__class__`

Method Details

call(self, weights=None, n=100)
(Call operator)

source code

Returns the log posterior likelihood

Parameters:

weights - optional expansion coefficients of the model, if none are specified those of the model are used
n - number of integration point for calculating the partition function

init(self, model, data)
(Constructor)

source code

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

Parameters:

model - MaxentModel
data - two dimensonal data

Overrides: object.__init__

Property Details

data

Get Method:: unreachable.data(self)
Set Method:: unreachable.data(self, value)

model

Get Method:: unreachable.model(self)
Set Method:: unreachable.model(self, value)

stats

Get Method:: unreachable.stats(self)

Class MaxentPosterior

__call__(self, weights=None, n=100) (Call operator)

__init__(self, model, data) (Constructor)

data

model

stats

call(self, weights=None, n=100)
(Call operator)

init(self, model, data)
(Constructor)