AutoX icon indicating copy to clipboard operation
AutoX copied to clipboard

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

Results 20 AutoX issues
Sort by recently updated
recently updated
newest added

autoX能否针对块状和间歇性需求的时间序列进行预测?

当前glove模型使用的是glove-python-binary包,对windows系统及mac系统安装较困难,可通过其他方式实现glove。 代码链接:[https://github.com/4paradigm/AutoX/blob/master/autox/autox_nlp/feature_engineer/nlp_feature.py](url)

call-for-contributions
AutoX_NLP

当前Word2Vec和Glove模型无法处理测试数据中未见过的词,需要对测试数据重新进行词表构建,对整体效果影响较大。 代码链接:[https://github.com/4paradigm/AutoX/blob/master/autox/autox_nlp/feature_engineer/nlp_feature.py](url)

call-for-contributions
AutoX_NLP

参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/recalls/itemcf_recall.py

call-for-contributions
AutoX_Recommend

当前使用fasttext进行特征提取的效率较慢,同等数据量下与BERT-tiny用时相当,可针对性优化。 代码链接:[https://github.com/4paradigm/AutoX/blob/master/autox/autox_nlp/feature_engineer/nlp_feature.py](url)

call-for-contributions
AutoX_NLP

代码结构可以参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/feature_engineer/user_feature_engineer.py

call-for-contributions
AutoX_Recommend

代码结构可以参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/ranker/ranker.py

call-for-contributions
AutoX_Recommend

代码结构可以参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/recalls/history_recall.py

call-for-contributions
AutoX_Recommend

代码结构可以参考: https://github.com/4paradigm/AutoX/blob/master/autox/autox_recommend/recall_and_rank/recalls/history_recall.py

call-for-contributions
AutoX_Recommend