BayesianBasisExpansionTimeSeries.build# BayesianBasisExpansionTimeSeries.build(X, y, coords=None)[source]# Construct the graph and record the time-feature data nodes. Parameters: X (DataArray | dict[str, DataArray]) – Input features with dims [“obs_ind”, “coeffs”]; obs_ind must be datetimes. y (DataArray | dict[str, DataArray]) – Target variable with dims [“obs_ind”, “treated_units”]. coords (dict[str, Any] | None) – Coordinates dictionary; must contain “datetime_index”. Return type: None Notes The trend/seasonality inputs live under their own pm.Data names, so they are added to _build_data_nodes for _rearm_fit_data().
