Package csb :: Package statistics :: Module mixtures :: Class ConformerMixture

Class ConformerMixture

          object --+        
                   |        
     GaussianMixture --+    
                       |    
AbstractStructureMixture --+
                           |
                          ConformerMixture

Gaussian mixture model for protein structure ensembles using a set of conformers

If mixture is a trained model, the ensemble coordinate array of structures from X which belong to conformation k is given by:

>>> indices = numpy.where(mixture.membership == k)[0]
>>> conformer = [mixture.datapoint(m, k) for m in indices]

Nested Classes
Inherited from `AbstractStructureMixture`: `__metaclass__`

Instance Methods

estimate_T(self)
Estimate superpositions

source code

Inherited from AbstractStructureMixture: __init__, datapoint, m_step

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([])`
Inherited from `GaussianMixture`: `ALPHA_SIGMA`, `BETA_SIGMA`, `MIN_SIGMA`, `use_cache`

Properties

Inherited from AbstractStructureMixture: R, t

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

estimate_T(self)

source code

Estimate superpositions

Overrides: AbstractStructureMixture.estimate_T: (inherited documentation)