class_docstr: An abstract base class for a longitudinal data preprocessors
  
  Parameters
  ----------
  n_jobs : `int`, default=-1
      Number of tasks to run in parallel. If set to -1, the number of tasks is
      set to the number of cores.
code: def fit(self, features, labels, censoring) -> None:
      pass
  
file_path: tick/tick/preprocessing/base/longitudinal_preprocessor.py
imports: from abc import ABC, abstractmethod
  from tick.base import Base
label_desc: Use image node_id 2 for calling the LongitudinalPreprocessor obj's underlying member method code with example usage: obj.fit(features, labels, censoring) without return types