docstr: Predict future sequence from past sequence.
  :param input_df: The input time series data frame, Example:
   datetime   value   "extra feature 1"   "extra feature 2"
   2019-01-01 1.9 1   2
   2019-01-02 2.3 0   2
  :return: a data frame with 2 columns, the 1st is the datetime, which is the last datetime of
      the past sequence.
      values are the predicted future sequence values.
      Example :
      datetime    value_0     value_1   ...     value_2
      2019-01-03  2           3                   9
docstr_tok: ["Predict","future","sequence","from","past","sequence",".",":","param","input_df",":","The","input","time","series","data","frame",",","Example",":","datetime","value","``","extra","feature","1","''","``","extra","feature","2","''","2019-01-01","1.9","1","2","2019-01-02","2.3","0","2",":","return",":","a","data","frame","with","2","columns",",","the","1st","is","the","datetime",",","which","is","the","last","datetime","of","the","past","sequence",".","values","are","the","predicted","future","sequence","values",".","Example",":","datetime","value_0","value_1","...","value_2","2019-01-03","2","3","9"]
code: def predict(self, input_df):
      """
      Predict future sequence from past sequence.
      :param input_df: The input time series data frame, Example:
       datetime   value   "extra feature 1"   "extra feature 2"
       2019-01-01 1.9 1   2
       2019-01-02 2.3 0   2
      :return: a data frame with 2 columns, the 1st is the datetime, which is the last datetime of
          the past sequence.
          values are the predicted future sequence values.
          Example :
          datetime    value_0     value_1   ...     value_2
          2019-01-03  2           3                   9
      """
      return self.pipeline.predict(input_df)
  
file_path: analytics-zoo/pyzoo/zoo/chronos/autots/deprecated/regression/base_predictor.py
imports: import pandas
  import os
  from abc import abstractmethod
  from zoo.orca.automl.metrics import Evaluator
  from zoo.chronos.autots.deprecated.pipeline.time_sequence import TimeSequencePipeline
  from zoo.orca.automl.search.utils import process
  from zoo.chronos.autots.deprecated.config.recipe import *
  from zoo.ray import RayContext
  from zoo.orca.automl.auto_estimator import AutoEstimator
label_desc: Use image node_id 7 for calling the BasePredictor obj's underlying member method code with example usage: obj.predict(input_df) and returns: self