get_available_estimators¶
- get_available_estimators(task: str = 'classification', as_list: bool = False) DataFrame | list[source]¶
Get a DataFrame of estimators avialable for a specific learning task.
- Parameters:
- task: str, default=”classification”
A learning task contained within VALID_TASK_TYPES i.e. “classification”, “clustering”, “regression”. Not case-sensitive.
- as_list: boolean, default=False
If True, returns a list instead of a dataframe.
- Returns:
- data: pd.DataFrame or list
Standardised name as defined by NAME_ALIASES.
Examples
>>> from aeon.benchmarking.results_loaders import get_available_estimators >>> cls = get_available_estimators("Classification")