code: def __init__(
      self,
      perturbation_model="removal",
      partition_fn="sentences",
      partition_kwargs={},
      progress_bar=None,
  ):
      super().__init__(
          perturbation_model,
          partition_fn,
          partition_kwargs,
          progress_bar,
      )
  
imports: import torch
  import numpy
  from abc import ABC, abstractmethod
  from sklearn.linear_model import Ridge, lars_path
  from .text_utils import *
  from .perturbation_tools import RemovalPerturbation
label_desc: Use image node_id 1 to create a new LocalExplanationLikelihood object from inherited base classes: LocalExplanations with example: obj = LocalExplanationLikelihood(perturbation_model, partition_fn, partition_kwargs, progress_bar)