class_docstr: This is an abstract class.
  All algorithms inherit from BaseAlgorithm.
code: def get_params(self):
      params = {
          "library_version": self.library_version,
          "algorithm_name": self.algorithm_name,
          "algorithm_short_name": self.algorithm_short_name,
          "uid": self.uid,
          "params": self.params,
          "name": self.name,
      }
      if (
          hasattr(self, "best_ntree_limit")
          and self.best_ntree_limit is not None
      ):
          params["best_ntree_limit"] = self.best_ntree_limit
      return params
  
imports: import uuid
  import numpy
  from supervised.utils.common import construct_learner_name
  from supervised.utils.importance import PermutationImportance
  from supervised.utils.shap import PlotSHAP
label_desc: Use image node_id 15 for calling the BaseAlgorithm obj's underlying member method code with example usage: obj.get_params() and returns: params