stacking.py 文件源码

def _get_child_predict(self, clf, X, index=None):
        if self.stack_by_proba and hasattr(clf, 'predict_proba'):
            if self.save_stage0 and index is not None:
                proba = util.saving_predict_proba(clf, X, index)
            else:
                proba = clf.predict_proba(X)
            return proba[:, 1:]
        elif hasattr(clf, 'predict'):
            predict_result = clf.predict(X)
            if isinstance(clf, ClassifierMixin):
                lb = LabelBinarizer()
                lb.fit(predict_result)
                return lb.fit_transform(predict_result)
            else:
                return predict_result.reshape((predict_result.size, 1))
        else:
            return clf.fit_transform(X)