MMM.create_fit_data

MMM.create_fit_data(X, y)

Create a fit dataset aligned on date and present dimensions.

Builds and returns an xarray Dataset that contains:

• data variables from X (all non-coordinate columns),

• the target variable from y under self.output_var, and

• coordinates on (self.date_column, *dims present in X).

Parameters:

Xpd.DataFrame | xr.Dataset | xr.DataArray

Feature data. If an xarray object is provided, it is converted to a DataFrame via to_dataframe().reset_index() before processing.

ynp.ndarray | pd.Series | xr.DataArray

Target values. Must align with X either by position (same length) or via a MultiIndex that includes (self.date_column, *dims present in X).

Returns:

xr.Dataset

Dataset indexed by (self.date_column, *dims present in X) with the feature variables and a target variable named self.output_var.

Raises:

ValueError

• If self.date_column is missing in X.

• If y is a np.ndarray and its length does not match X.

• If y cannot be aligned to X by index or position.

RuntimeError

If the target column is missing after alignment.

Notes

• The original date column name is preserved (self.date_column).

• Coordinates are assigned only for dimensions present in X.

• Data is sorted by (self.date_column, *dims present in X) prior to conversion to xarray.

Examples

>>> ds = mmm.create_fit_data(X, y)