class_docstr: Applies a series of data transformations sequentially.
class_docstr_tok: ["Applies","a","series","of","data","transformations","sequentially","."]
code: def from_dict(cls, state):
      return cls(
          [TransformFactory.create(**d) for d in state["transforms"]]
      )
  
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 8 for calling the TransformSequence obj's underlying member method code with example usage: obj.from_dict(cls, state) and returns: cls