class_docstr: Applies a series of data transformations sequentially.
class_docstr_tok: ["Applies","a","series","of","data","transformations","sequentially","."]
code: def __call__(self, time_series: TimeSeries) -> TimeSeries:
      for f in self.transforms:
          time_series = f(time_series)
      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 10 for calling the TransformSequence obj's underlying member method code with example usage: obj.__call__(time_series) and returns: time_series