training
polars_ts.dl._training
Shared training utilities for DL forecasters.
build_windows(arrays, input_size, h)
Build sliding-window training pairs from multiple series.
Returns
X : np.ndarray
Input windows of shape (n_windows, input_size).
Y : np.ndarray
Target windows of shape (n_windows, h).
build_forecast_df(ids, forecasts, df, h, id_col, time_col)
Build output DataFrame with future dates.
Parameters
ids
Series identifiers.
forecasts
Array of shape (n_series, h).
df
Original input DataFrame.
h
Forecast horizon.
id_col, time_col
Column names.