class_docstr: Returns datasets included in the library in `pandas.DataFrame` format.
  
  Attributes
  ----------
  available_datasets : `list` [`str`]
      The names of the available datasets.
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docstr: Loads hierarchical forecasts.
  
  This dataset contains forecasts for the actuals
  given by `~greykite.common.data_loader.DataLoader.load_hierarchical_actuals`.
  The attributes are the same.
  
  Returns
  -------
  df : `pandas.DataFrame` object with forecasts for synthetic hierarchical data.
      Has the following columns:
  
          "ts" : date of the forecasted value
          "00" : value for node 00
          "10" : value for node 10
          "11" : value for node 11
          "20" : value for node 20
          "21" : value for node 21
          "22" : value for node 22
          "23" : value for node 23
          "24" : value for node 24
  
      The forecasts do not satisfy the hierarchical constraints.
      The index and columns are identical to
      `~greykite.common.data_loader.DataLoader.load_hierarchical_actuals`.
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code: def load_hierarchical_forecasts(self):
      """Loads hierarchical forecasts.
  
      This dataset contains forecasts for the actuals
      given by `~greykite.common.data_loader.DataLoader.load_hierarchical_actuals`.
      The attributes are the same.
  
      Returns
      -------
      df : `pandas.DataFrame` object with forecasts for synthetic hierarchical data.
          Has the following columns:
  
              "ts" : date of the forecasted value
              "00" : value for node 00
              "10" : value for node 10
              "11" : value for node 11
              "20" : value for node 20
              "21" : value for node 21
              "22" : value for node 22
              "23" : value for node 23
              "24" : value for node 24
  
          The forecasts do not satisfy the hierarchical constraints.
          The index and columns are identical to
          `~greykite.common.data_loader.DataLoader.load_hierarchical_actuals`.
      """
      data_path = self.get_data_home(
          data_dir=None, data_sub_dir="daily"
      )
      df = self.get_df(
          data_path=data_path, data_name="daily_hierarchical_forecasts"
      )
      return df
  
imports: import datetime
  import os
  import warnings
  from pathlib import Path
  import pandas
  from greykite.common.constants import TIME_COL
label_desc: Use image node_id 19 for calling the DataLoader obj's underlying member method code with example usage: obj.load_hierarchical_forecasts() and returns: df