smooth.ADAM.holdout_data
- property ADAM.holdout_data: ndarray[tuple[int, ...], dtype[_ScalarType_co]] | None
$holdout).
If
holdout=Truewas specified during fitting, returns the portion of data withheld for validation. Otherwise returns None.- Returns:
1D array of holdout observations, or None if no holdout was used.
- Return type:
Optional[NDArray]
- Raises:
ValueError – If the model has not been fitted yet.
Examples
>>> model = ADAM(model="AAN", holdout=True, h=12) >>> model.fit(y) >>> if model.holdout_data is not None: ... print(f"Holdout size: {len(model.holdout_data)}")
- Type:
Holdout validation data (R