我是xgboost的新手，我训练了一个模型，效果很好。现在，我尝试使用eli5查看权重，然后得到：KeyError：'bias'
-------------------------------------------------- -------------------------KeyError Traceback（最近一次通话）在3 clf6 = model6.named_steps ['clf']4 vec6 = model6.named_steps ['transformer']----> 5 describe_weights_xgboost（clf6，vec = vec6）〜/ dev / envs / env3.7 / lib / python3.7 / site-packages / eli5 / xgboost.py在explain_weights_xgboost（xgb，vec，top，target_names，targets，feature_names，feature_re，feature_filter，重要性类型）中80 description = DESCRIPTION_XGBOOST，81 is_regression = is_regression，---> 82 num_features = coef.shape [-1]，83）84〜/ dev / envs / env3.7 / lib / python3.7 / site-packages / eli5 / _feature_importances.py in get_feature_importance_explanation（estimator，vec，cof，coef，feature_names，feature_filter，feature_re，top，description，is_regression，estimator_feature_names，num_feature coef_std）35 feature_filter = feature_filter，36 feature_re = feature_re，---> 37 num_features = num_features，38）39 feature_importances = get_feature_importances_filtered（〜/ dev / envs / env3.7 / lib / python3.7 / site-packages / eli5 / sklearn / utils.py in get_feature_names_filtered（clf，vec，bias_name，feature_names，num_features，feature_filter，feature_re，estimator_feature_names）124 feature_names = feature_names，125 num_features = num_features，-> 126 estimator_feature_names = estimator_feature_names，127）128返回feature_names.handle_filter（feature_filter，feature_re）〜/ dev / envs / env3.7 / lib / python3.7 / site-packages / eli5 / sklearn / utils.py in get_feature_names（clf，vec，bias_name，feature_names，num_features，estimator_feature_names）77个功能分别命名为x0，x1，x2等。78“”“-> 79，如果没有has_intercept（clf）：80 bias_name =无81在has_intercept（estimator）中〜/ dev / envs / env3.7 / lib / python3.7 / site-packages / eli5 / sklearn / utils.py60如果hasattr（estimator，'fit_intercept'）：61 return estimator.fit_intercept-> 62如果hasattr（estimator，'intercept_'）：63如果estimator.intercept_为None：64返回False〜/ dev / envs / env3.7 / lib / python3.7 / site-packages / xgboost / sklearn.py在intercept_（自己）中第743章第744章（一更）-> 745返回np.array（json.loads（b.get_dump（dump_format ='json'）[0]）['bias']）746747KeyError：“偏见”
谢谢！
我也有同样的错误，如果找到一个，请分享解决方案