def batch_recommend_items(self,
                              dataset,
                              max_items=10,
                              return_scores=True,
                              show_progress=False,
                              item_features=None):
        r = self.predict_ratings(item_features=item_features)
        return self._get_recommendations_from_predictions(r,dataset,0,r.shape[0],max_items,return_scores,show_progress)
@see: C{L{Extension.getExtensionArgs}}
dataset/ETHPy150Open Mendeley/mrec/mrec/mf/recommender.py/MatrixFactorizationRecommender.batch_recommend_items--crossover with--dataset/ETHPy150Open CollabQ/CollabQ/openid/extensions/pape.py/Request.getExtensionArgs