class_docstr: Time series regression task.
  
  A task encapsulates metadata information such as the feature and target
  variable
  to which to fit the data to and any additional necessary instructions on
  how
  to fit and predict.
  
  Parameters
  ----------
  target : str
      The column name for the target variable to be predicted.
  features : list of str, optional (default=None)
      The column name(s) for the feature variable. If None, every column
      apart from target will be used as a feature.
  metadata : pandas.DataFrame, optional (default=None)
      Contains the metadata that the task is expected to work with.
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code: def __init__(self, target, features=None, metadata=None):
      self._case = "TSR"
      super().__init__(target, features=features, metadata=metadata)
  
imports: from inspect import signature
  import numpy
  import pandas
  from sktime.base import BaseObject
label_desc: Use image node_id 1 to create a new TSRTask object from inherited base classes: BaseTask with example: obj = TSRTask(target, features, metadata)