Package csb :: Package statistics :: Package pdf :: Class GenNormalBruteForceEstimator

Class GenNormalBruteForceEstimator

       object --+    
                |    
AbstractEstimator --+
                    |
                   GenNormalBruteForceEstimator

Nested Classes
Inherited from `AbstractEstimator`: `__metaclass__`

Instance Methods

__init__(self, minbeta=0.5, maxbeta=8.0, step=0.1)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

AbstractDensity

estimate(self, context, data)
Estimate the parameters of the distribution from same {data}.

source code

estimate_with_fixed_beta(self, data, beta)

source code

update(self, pdf, data, beta)

source code

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

Class Variables
	__abstractmethods__ = `frozenset([])`

Properties
Inherited from `object`: `__class__`

Method Details

init(self, minbeta=0.5, maxbeta=8.0, step=0.1)
(Constructor)

source code

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

Overrides: object.__init__: (inherited documentation)

estimate(self, context, data)

source code

Estimate the parameters of the distribution from same {data}.

Parameters:

context - context distribution
data - sample values

Returns: AbstractDensity

a new distribution, initialized with the estimated parameters

Raises:

EstimationFailureError - if estimation is not possible

Overrides: AbstractEstimator.estimate

(inherited documentation)

Class GenNormalBruteForceEstimator

__init__(self, minbeta=0.5, maxbeta=8.0, step=0.1) (Constructor)

estimate(self, context, data)

init(self, minbeta=0.5, maxbeta=8.0, step=0.1)
(Constructor)