code: def __init__(
      self,
      tol=1e-3,
      max_iter=1000,
      prior="identity",
      verbose=False,
      preprocessor=None,
      random_state=None,
  ):
      self.prior = prior
      self.tol = tol
      self.max_iter = max_iter
      self.verbose = verbose
      self.random_state = random_state
      super(_BaseLSML, self).__init__(preprocessor)
  
imports: import numpy
  import scipy.linalg
  from sklearn.base import TransformerMixin
  from .base_metric import _QuadrupletsClassifierMixin, MahalanobisMixin
  from .constraints import Constraints
  from ._util import components_from_metric, _initialize_metric_mahalanobis
  import warnings
label_desc: Use image node_id 1 to create a new _BaseLSML object from inherited base classes: MahalanobisMixin with example: obj = _BaseLSML(tol, max_iter, prior, verbose, preprocessor, random_state)