class_docstr: Applies a set of data transformations individually to an input time series.
  Stacks all of the results into a multivariate time series.
class_docstr_tok: ["Applies","a","set","of","data","transformations","individually","to","an","input","time","series",".","Stacks","all","of","the","results","into","a","multivariate","time","series","."]
code: def _invert(self, time_series: TimeSeries) -> TimeSeries:
      logger.warning(
          f"_invert() should not be called by a transform of type {type(self).__name__}. Applying the identity.",
          stack_info=True,
      )
      return time_series
  
imports: from collections import OrderedDict
  import logging
  from typing import List
  from merlion.transform.base import TransformBase, InvertibleTransformBase, Identity
  from merlion.transform.factory import TransformFactory
  from merlion.utils import TimeSeries
label_desc: Use image node_id 7 for calling the TransformStack obj's underlying member method code with example usage: obj._invert(time_series) and returns: time_series