class_docstr: This is an abstract class.
  All algorithms inherit from BaseAlgorithm.
code: def fit(
      self,
      X,
      y,
      sample_weight=None,
      X_validation=None,
      y_validation=None,
      sample_weight_validation=None,
      log_to_file=None,
      max_time=None,
  ):
      pass
  
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 5 for calling the BaseAlgorithm obj's underlying member method code with example usage: obj.fit(X, y, sample_weight, X_validation, y_validation, sample_weight_validation, log_to_file, max_time) without return types