Exports

class indico.queries.export.GetExport(export_id)

Get information on an Export job

• Parameters:
  export_id (int) – Id of an Export
• Returns:
  Export object

class indico.queries.export.DownloadExport(export_id=None, export=None)

Download an export from an Indico storage url

• Parameters:
  • export (Export) – Export object
  • export_id (int) – Export id
• Returns:
  Pandas csv of the export
• Raises:
  IndicoRequestError if the Export job is not complete or failed –

class indico.queries.export.CreateExport(dataset_id, labelset_id, column_ids=None, model_ids=None, frozen_labelset_ids=None, combine_labels='ALL', file_info=False, anonymous=False, wait=True)

Create an export job for a dataset.

• Parameters:
  • dataset_id (int) – Dataset to create the export for
  • labelset_id (int) – Labelset column id to export
  • column_ids (List(int**)) – Data column ids to export
  • model_ids (List(int**)) – Model ids to include predictions from
  • frozen_labelset_ids (Optional[List[int]]) – (List(int)): frozen labelset ids to limit examples by
  • combine_labels (LabelResolutionStrategy) – One row per example, combine labels from multiple labels into a single row
  • file_info (bool) – Include datafile information
  • anonymous (bool) – Anonymize user information
  • wait (bool) – Wait for the export to complete. Default is True
• Returns:
  Export object