Package csb :: Package statistics :: Module mixtures :: Class AbstractStructureMixture

Class AbstractStructureMixture

     object --+    
              |    
GaussianMixture --+
                  |
                 AbstractStructureMixture

Known Subclasses:

Abstract mixture model for protein structure ensembles.

Nested Classes
	__metaclass__ Metaclass for defining Abstract Base Classes (ABCs).

Instance Methods

__init__(self, X, K, *args, **kwargs)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

numpy array

datapoint(self, m, k)
Training point number m as if it would belong to component k source code

estimate_T(self)
Estimate superpositions

source code

m_step(self)
Maximization step for EM

source code

Inherited from GaussianMixture: anneal, del_cache, e_step, em, estimate_means, estimate_scales, increment_K, overlap, randomize_means, randomize_scales

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

Class Methods
Inherited from `GaussianMixture`: `new`, `series`

Class Variables
	__abstractmethods__ = `frozenset(['estimate_T'])`
Inherited from `GaussianMixture`: `ALPHA_SIGMA`, `BETA_SIGMA`, `MIN_SIGMA`, `use_cache`

Properties
(M,K,3,3) numpy array	R Rotation matrices
(M,K,3) numpy array	t Translation vectors
Inherited from `GaussianMixture`: `BIC`, `K`, `M`, `N`, `delta`, `dimension`, `log_likelihood`, `log_likelihood_reduced`, `means`, `membership`, `scales`, `sigma`, `w` Inherited from `object`: `__class__`

Method Details

init(self, X, K, *args, **kwargs)
(Constructor)

source code

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

Parameters:

X - multi dimensional input vector with samples along first axis
K - number of components
train - train model
axis - component axis in X

Overrides: object.__init__

(inherited documentation)

datapoint(self, m, k)

source code

Training point number m as if it would belong to component k

Returns: numpy array
Overrides: GaussianMixture.datapoint: (inherited documentation)

m_step(self)

source code

Maximization step for EM

Overrides: GaussianMixture.m_step: (inherited documentation)

Property Details

R

Rotation matrices

Get Method:: unreachable.R(self) - Rotation matrices
Type:: (M,K,3,3) numpy array

t

Translation vectors

Get Method:: unreachable.t(self) - Translation vectors
Type:: (M,K,3) numpy array

Class AbstractStructureMixture

__init__(self, X, K, *args, **kwargs) (Constructor)

datapoint(self, m, k)

m_step(self)

R

t

init(self, X, K, *args, **kwargs)
(Constructor)