class_docstr: Standard GMM.
  
  this class contains the following members
  k (int): the number of components in the mixture
  dim (int): is the dimension of the data
  prec_type = 'full' (string) is the parameterization
            of the precisions/covariance matrices:
            either 'full' or 'diagonal'.
  means: array of shape (k,dim):
        all the means (mean parameters) of the components
  precisions: array of shape (k,dim,dim):
             the precisions (inverse covariance matrix) of the components
  weights: array of shape(k): weights of the mixture
  
  fixme
  -----
  no copy method
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docstr: Identical to self._Mstep(x,l)
          
docstr_tok: ["Identical","to","self._Mstep","(","x",",","l",")"]
code: def update(self, x, l):
      """Identical to self._Mstep(x,l)"""
      self._Mstep(x, l)
  
imports: import numpy
  from scipy.linalg import eigvalsh
label_desc: Use image node_id 7 for calling the GMM obj's underlying member method code with example usage: obj.update(x, l) without return types