【苏州大学2023级研究生秋季机器学习期末大作业】题目要求：
We upload part of the code. Due to the environment configuration and other factors, we do not guarantee that the code will run completely, but the logic of the code we can guarantee. If you have any questions, please contact me : dong_i@163.com .
Note:
1) m_model represents LSTM-Encoder-Decoder model, the models have the same train and test function;
2) When running, pay attention to the location of the file;
3) The transformer-base model is completed by another member of the group, and the other two are modeled by me. Data processing and training test functions are also done by me;
4) The report will be submitted after the teacher finishes grading.
some of the LSTM-Encoder-Decoder predicted effects are as follows:
some of the transformer-base predicted effects are as follows:
some of the BeLSTM predicted effects are as follows:
