本项目为时间序列预测项目，主要重点在于对预测项目整体流程的梳理总结，不同框架下如何进行简单数据处理和模型搭建。因此项目中搭建的主要为一些常用模型（后续会不断修改完善）。模型包含了prophet模型、keras库的bp神经网络和lstm网络模型、pytorch 框架下的lstm相关模型。由于prophet模型和keras库的bp神经网络和lstm网络模型的构建、训练、测试整体代码量较少，将直接各自在一个脚本中完成。而pytorch框架下的模型将对代码块进行拆解。
☆27Apr 6, 2023Updated 3 years ago
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