class_docstr: Base class for mixture models.
  
  This abstract class specifies an interface for all mixture classes and
  provides basic common methods for mixture models.
code: def __init__(
      self,
      n_components,
      tol,
      reg_covar,
      max_iter,
      n_init,
      init_params,
      random_state,
      warm_start,
      verbose,
      verbose_interval,
  ):
      self.n_components = n_components
      self.tol = tol
      self.reg_covar = reg_covar
      self.max_iter = max_iter
      self.n_init = n_init
      self.init_params = init_params
      self.random_state = random_state
      self.warm_start = warm_start
      self.verbose = verbose
      self.verbose_interval = verbose_interval
  
imports: from __future__ import print_function
  import warnings
  from abc import ABCMeta, abstractmethod
  from time import time
  import numpy
  from ..None import cluster
  from ..base import BaseEstimator
  from ..base import DensityMixin
  from ..externals import six
  from ..exceptions import ConvergenceWarning
  from ..utils import check_array, check_random_state
  from ..utils.extmath import logsumexp
label_desc: Use image node_id 1 to create a new BaseMixture object from inherited base classes:  with example: obj = BaseMixture(n_components, tol, reg_covar, max_iter, n_init, init_params, random_state, warm_start, verbose, verbose_interval)