y_pred = self._fit_stage(i, np.concatenate([X_original, X], axis=1), y, y_pred, sample_weight,
sample_mask, random_state, X_idx_sorted,
X_csc, X_csr)
There is no function name fit_stage in AugBoost.py to return back the answer and if it is fit_stages then the parameter does not match.
y_pred = self._fit_stage(i, np.concatenate([X_original, X], axis=1), y, y_pred, sample_weight,
sample_mask, random_state, X_idx_sorted,
X_csc, X_csr)
There is no function name fit_stage in AugBoost.py to return back the answer and if it is fit_stages then the parameter does not match.