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

source code

    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)