class_docstr: Trains a model that predicts future time sequence from past sequence.
  Past sequence should be > 1. Future sequence can be > 1.
  For example, predict the next 2 data points from past 5 data points.
  Output have only one target value (a scalar) for each data point in the sequence.
  Input can have more than one features (value plus several features)
  Example usage:
      tsp = TimeSequencePredictor()
      tsp.fit(input_df)
      result = tsp.predict(test_df)
code: def _check_df(self, df):
      super()._check_df(df)
      self._check_missing_col(df=df)
  
file_path: analytics-zoo/pyzoo/zoo/chronos/autots/deprecated/regression/time_sequence_predictor.py
imports: from zoo.chronos.autots.deprecated.regression.base_predictor import BasePredictor
  from zoo.chronos.utils import deprecated
label_desc: Use image node_id 4 for calling the TimeSequencePredictor obj's underlying member method code with example usage: obj._check_df(df) without return types