預測模型與儲存 論文使用LSTM和GRU進行股價分類預測→LSTM,GRU.ipynb，另外因前述的檔案中未使用存取模型和scaler→Model_H5.ipynb，請至ipynb中點尋找(模型+scaler)的程式碼。 最後為驗證樣本泛化能力，所以論文研究加入樣本外預測(2025).ipynb。 #Google雲端 Regularization裡有BERT和FinGPT Final的csv檔 https://drive.google.com/drive/folders/1rdaWppmBsP_Jh6RRKGw9cx9VoCatunUb?usp=sharing
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