docstr: Converts data as a list of arrays. Removes all encoded moving average information.
  
  :param data: Encoded data prepared by this array encoder
  :returns: A list of iterable sequences in the original data space
code: def decode(self, data: torch.Tensor) -> List[Iterable]:
      """
      Converts data as a list of arrays. Removes all encoded moving average information.
  
      :param data: Encoded data prepared by this array encoder
      :returns: A list of iterable sequences in the original data space
      """
      decoded = data[:, self.max_mavg_offset].tolist()
      return decoded
  
file_path: lightwood/lightwood/encoder/time_series/ts.py
imports: from typing import List, Iterable
  import torch
  from type_infer.dtype import dtype
  from lightwood.encoder.array import ArrayEncoder
label_desc: Use image node_id 3 for calling the TimeSeriesEncoder obj's underlying member method code with example usage: obj.decode(data) and returns: decoded