My function call looks something like

loss = log_loss(y_true=validate_d['y'], y_pred=validate_probs, sample_weight=validate_df['weight'],  normalize=True)

Is there any way to combine this with pandas rolling() functionality, so I calculate it for a trailing 10k rows window, for example?