openml.evaluations.list_evaluations¶
-
openml.evaluations.list_evaluations(function: str, offset: Union[int, NoneType] = None, size: Union[int, NoneType] = None, id: Union[List, NoneType] = None, task: Union[List, NoneType] = None, setup: Union[List, NoneType] = None, flow: Union[List, NoneType] = None, uploader: Union[List, NoneType] = None, tag: Union[str, NoneType] = None, per_fold: Union[bool, NoneType] = None, output_format: str = 'object') → Union[Dict, pandas.core.frame.DataFrame]¶ List all run-evaluation pairs matching all of the given filters. (Supports large amount of results)
- Parameters
- functionstr
the evaluation function. e.g., predictive_accuracy
- 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
- per_foldbool, optional
- output_format: str, optional (default=’object’)
The parameter decides the format of the output. - If ‘object’ the output is a dict of OpenMLEvaluation objects - If ‘dict’ the output is a dict of dict - If ‘dataframe’ the output is a pandas DataFrame
- Returns
- dict or dataframe