class_docstr: Returns datasets included in the library in `pandas.DataFrame` format.
  
  Attributes
  ----------
  available_datasets : `list` [`str`]
      The names of the available datasets.
class_docstr_tok: ["Returns","datasets","included","in","the","library","in","`","pandas.DataFrame","`","format",".","Attributes","--","--","--","--","--","available_datasets",":","`","list","`","[","`","str","`","]","The","names","of","the","available","datasets","."]
docstr: Returns the names of the available internal datasets.
  
  Returns
  -------
  file_names : `list` [`str`]
      The names of the available internal datasets.
docstr_tok: ["Returns","the","names","of","the","available","internal","datasets",".","Returns","--","--","--","-","file_names",":","`","list","`","[","`","str","`","]","The","names","of","the","available","internal","datasets","."]
code: def get_data_inventory(self):
      """Returns the names of the available internal datasets.
  
      Returns
      -------
      file_names : `list` [`str`]
          The names of the available internal datasets.
      """
      file_names = []
      for freq in ["minute", "hourly", "daily", "monthly"]:
          data_path = self.get_data_home(
              data_dir=None, data_sub_dir=freq
          )
          file_names.extend(self.get_data_names(data_path=data_path))
  
      return file_names
  
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 5 for calling the DataLoader obj's underlying member method code with example usage: obj.get_data_inventory() and returns: file_names