class_docstr: A pipeline for time series forecasting.
class_docstr_tok: ["A","pipeline","for","time","series","forecasting","."]
docstr: Initialize an emtpy TSPipeline.
  Usually it is not called by user directly.
  A TSPipeline is either obtained from AutoTrainer.fit or TSPipeline.load
docstr_tok: ["Initialize","an","emtpy","TSPipeline",".","Usually","it","is","not","called","by","user","directly",".","A","TSPipeline","is","either","obtained","from","AutoTrainer.fit","or","TSPipeline.load"]
code: def __init__(self):
      """
      Initialize an emtpy TSPipeline.
      Usually it is not called by user directly.
      A TSPipeline is either obtained from AutoTrainer.fit or TSPipeline.load
      """
      self.internal = None
      self.uncertainty = False
  
file_path: BigDL/python/chronos/src/bigdl/chronos/autots/deprecated/forecast.py
imports: from bigdl.chronos.autots.deprecated.regression.time_sequence_predictor import TimeSequencePredictor
  from bigdl.chronos.autots.deprecated.config.recipe import *
  from bigdl.chronos.autots.deprecated.pipeline.time_sequence import load_ts_pipeline
  from bigdl.chronos.utils import deprecated
label_desc: Use image node_id 1 to create a new TSPipeline object  with example: obj = TSPipeline()