INNER CODE UNIT · Python
get_metrics
aimclub/FEDOT · fedot/api/main.py:428
def get_metrics(self,
target: Union[np.ndarray, pd.Series] = None,
metric_names: Union[str, List[str]] = None,
in_sample: Optional[bool] = None,
validation_blocks: Optional[int] = None,
rounding_order: int = 3) -> dict:
"""Gets quality metrics for a fitted graph
Args:
target: an array with target values of test data. If ``None``, target specified for fit is used.
metric_names: names of required metrics.
in_sample: used for time series forecasting.
If True prediction will be obtained as ``.predict(..., in_sample=True)``.
validation_blocks: number of validation blocks for time series in-sample forecast.
rounding_order: number of decimal places for metrics
Returns:
Values of quality metrics.