class_docstr: The base class for filtering models. It defines the *minimal* behavior that all filtering models
  have to support. The filtering models are all "local" models; meaning they act on one time series alone.
code: def __init__(self):
      self._expect_covariates = False
      pass
  
imports: from abc import ABC, abstractmethod
  from darts.logging import get_logger, raise_if_not
  from darts.timeseries import TimeSeries
label_desc: Use image node_id 1 to create a new FilteringModel object from inherited base classes: ABC with example: obj = FilteringModel()