bc4a5f5d29bb5a74d9cb254ff4dfed916676c8aa,pmdarima/model_selection/_split.py,RollingForecastCV,_iter_train_test_indices,#RollingForecastCV#Any#Any#,154

Before Change

        // guarantee that the forecasting horizon will not over-index the series
        for train_step_size in range(0, n_samples - h - initial, step):
            train_size = initial + train_step_size
            train_indices = np.arange(train_size)
            test_index = train_indices[-1] + h

            yield train_indices, test_index

After Change

        // Determine the number of iterations that will take place. Must
        // guarantee that the forecasting horizon will not over-index the series
        all_indices = np.arange(n_samples)
        for train_step_size in range(0, n_samples - h - initial, step):
            train_size = initial + train_step_size
            train_indices = all_indices[:train_size]
            test_indices = all_indices[train_size: train_size + h]

Instances