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View Code? Open in Web Editor NEW第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案
第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案
train_features = pd.read_csv('features/0714_all_train_features_17.csv')
test_features = pd.read_csv('features/0714_all_test_features_17.csv')
train_moka_features = pd.read_csv('features/non_nlp_features_train.csv')
test_moka_features = pd.read_csv('features/non_nlp_features_test.csv')
这几个特征是自己加工吗,看代码里并没有提供,谢谢啦
请问图特征你们是直接修改预测结果,还是作为一个特征加入训练模型
數據下載的連結無法使用
是否可以寄至我的信箱[email protected]
非常謝謝
你好,我在复现的过程中遇到了一些问题,想向楼主请教一下。就是在特征工程中的powerful_words_oside_tag()函数中,pword代表的是 sorted_words_power 吗?然后thresh_num和thresh_rate的取值问题。谢谢楼主啦
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