openml.tasks.list_tasks¶
- openml.tasks.list_tasks(task_type: TaskType | None = None, offset: int | None = None, size: int | None = None, tag: str | None = None, output_format: Literal['dict', 'dataframe'] = 'dict', **kwargs: Any) dict | pd.DataFrame¶
Return a number of tasks having the given tag and task_type
- Parameters:
- Filter task_type is separated from the other filters because
- it is used as task_type in the task description, but it is named
- type when used as a filter in list tasks call.
- task_typeTaskType, optional
Refers to the type of task.
- offsetint, optional
the number of tasks to skip, starting from the first
- sizeint, optional
the maximum number of tasks to show
- tagstr, optional
the tag to include
- 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
- kwargs: dict, optional
Legal filter operators: data_tag, status, data_id, data_name, number_instances, number_features, number_classes, number_missing_values.
- Returns:
- dict
All tasks having the given task_type and the give tag. Every task is represented by a dictionary containing the following information: task id, dataset id, task_type and status. If qualities are calculated for the associated dataset, some of these are also returned.
- dataframe
All tasks having the given task_type and the give tag. Every task is represented by a row in the data frame containing the following information as columns: task id, dataset id, task_type and status. If qualities are calculated for the associated dataset, some of these are also returned.