class_docstr: Example:
      >>> #The dataset is split into data, validation_data
      >>> model = ProphetForecaster(changepoint_prior_scale=0.05, seasonality_mode='additive')
      >>> model.fit(data, validation_data)
      >>> predict_result = model.predict(horizon=24)
class_docstr_tok: ["Example",":",">",">",">","#","The","dataset","is","split","into","data",",","validation_data",">",">",">","model","=","ProphetForecaster","(","changepoint_prior_scale=0.05",",","seasonality_mode='additive","'",")",">",">",">","model.fit","(","data",",","validation_data",")",">",">",">","predict_result","=","model.predict","(","horizon=24",")"]
docstr: Restore the forecaster.
  
  :param checkpoint_file: The checkpoint file location you want to load the forecaster.
docstr_tok: ["Restore","the","forecaster",".",":","param","checkpoint_file",":","The","checkpoint","file","location","you","want","to","load","the","forecaster","."]
code: def restore(self, checkpoint_file):
      """
      Restore the forecaster.
  
      :param checkpoint_file: The checkpoint file location you want to load the forecaster.
      """
      self.internal.restore(checkpoint_file)
  
file_path: BigDL/python/chronos/src/bigdl/chronos/forecaster/prophet_forecaster.py
imports: from bigdl.chronos.forecaster.abstract import Forecaster
  from bigdl.chronos.model.prophet import ProphetModel
label_desc: Use image node_id 7 for calling the ProphetForecaster obj's underlying member method code with example usage: obj.restore(checkpoint_file) without return types