X_train = [(features_i, np.vstack([np.arange(f_t.shape[0] - 1), np.arange(1, f_t.shape[0])])) for features_i in f_t]
X_train = [(features_i, np.vstack([np.arange(features_i.shape[0] - 1), np.arange(1, features_i.shape[0])])) for features_i in f_t]
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Hey,
This particular bug is still present in the user guide. Took me some time to get around it. Please change it as it can be misleading to new users