class_docstr: Longest Common Subsequence similarity distance, from tslearn.
  
  Direct interface to ``tslearn.metrics.lcss``.
  
  Parameters
  ----------
  eps : float (default: 1.)
      Maximum matching distance threshold.
  global_constraint : {"itakura", "sakoe_chiba"} or None (default: None)
      Global constraint to restrict admissible paths for DTW.
  sakoe_chiba_radius : int or None (default: None)
      Radius to be used for Sakoe-Chiba band global constraint.
      If None and ``global_constraint`` is set to ``"sakoe_chiba"``, a radius of
      1 is used.
      If both ``sakoe_chiba_radius`` and ``itakura_max_slope`` are set,
      ``global_constraint`` is used to infer which constraint to use among the
      two. In this case, if ``global_constraint`` corresponds to no global
      constraint, a ``RuntimeWarning`` is raised and no global constraint is
      used.
  itakura_max_slope : float or None (default: None)
      Maximum slope for the Itakura parallelogram constraint.
      If None and ``global_constraint`` is set to ``"itakura"``, a maximum slope
      of 2 is used.
      If both ``sakoe_chiba_radius`` and ``itakura_max_slope`` are set,
      ``global_constraint`` is used to infer which constraint to use among the
      two. In this case, if ``global_constraint`` corresponds to no global
      constraint, a ``RuntimeWarning`` is raised and no global constraint is
      used.
  
  References
  ----------
  .. [1] M. Vlachos, D. Gunopoulos, and G. Kollios. 2002. "Discovering
          Similar Multidimensional Trajectories", In Proceedings of the
          18th International Conference on Data Engineering (ICDE '02).
          IEEE Computer Society, USA, 673.
code: def __init__(
      self,
      eps=1.0,
      global_constraint=None,
      sakoe_chiba_radius=None,
      itakura_max_slope=None,
  ):
      self.eps = eps
      self.global_constraint = global_constraint
      self.sakoe_chiba_radius = sakoe_chiba_radius
      self.itakura_max_slope = itakura_max_slope
  
      super().__init__()
  
imports: from sktime.dists_kernels.base import BasePairwiseTransformerPanel
  from sktime.dists_kernels.base.adapters import _TslearnPwTrafoAdapter
label_desc: Use image node_id 1 to create a new LcssTslearn object from inherited base classes: _TslearnPwTrafoAdapter, BasePairwiseTransformerPanel with example: obj = LcssTslearn(eps, global_constraint, sakoe_chiba_radius, itakura_max_slope)