class_docstr: A pipeline for time series forecasting.
docstr: Prediction.
  
  :param input_df: the input dataframe
  :return: the forecast results
docstr_tok: ["Prediction",".",":","param","input_df",":","the","input","dataframe",":","return",":","the","forecast","results"]
code: def predict(self, input_df):
      """
      Prediction.
  
      :param input_df: the input dataframe
      :return: the forecast results
      """
      if self.uncertainty is True:
          return self.internal.predict_with_uncertainty(input_df)
      else:
          return self.internal.predict(input_df)
  
file_path: analytics-zoo/pyzoo/zoo/chronos/autots/deprecated/forecast.py
imports: from zoo.chronos.autots.deprecated.regression.time_sequence_predictor import TimeSequencePredictor
  from zoo.chronos.autots.deprecated.config.recipe import *
  from zoo.chronos.autots.deprecated.pipeline.time_sequence import load_ts_pipeline
  from zoo.chronos.utils import deprecated
label_desc: Use image node_id 5 for calling the TSPipeline obj's underlying member method code with example usage: obj.predict(input_df) and returns: self, self