openml.runs.list_runs¶
-
openml.runs.list_runs(offset: Union[int, NoneType] = None, size: Union[int, NoneType] = None, id: Union[List, NoneType] = None, task: Union[List[int], NoneType] = None, setup: Union[List, NoneType] = None, flow: Union[List, NoneType] = None, uploader: Union[List, NoneType] = None, tag: Union[str, NoneType] = None, display_errors: bool = False, output_format: str = 'dict', **kwargs) → Union[Dict, pandas.core.frame.DataFrame]¶ List all runs matching all of the given filters. (Supports large amount of results)
- Parameters
- offsetint, optional
the number of runs to skip, starting from the first
- sizeint, optional
the maximum number of runs to show
- idlist, optional
- tasklist, optional
- setup: list, optional
- flowlist, optional
- uploaderlist, optional
- tagstr, optional
- display_errorsbool, optional (default=None)
Whether to list runs which have an error (for example a missing prediction file).
- output_format: str, optional (default=’dict’)
The parameter decides the format of the output. - If ‘dict’ the output is a dict of dict - If ‘dataframe’ the output is a pandas DataFrame
- kwargsdict, optional
Legal filter operators: task_type.
- Returns
- dict of dicts, or dataframe