Converts the clinical text corpus to byte-level integer arrays for BDH training. BDH is byte-level by design (vocab_size=256) — no tokenizer needed. """Byte array → string. Replace undecodable bytes." ...
ABSTRACT: This project aimed to assess the performance of attention extended LSTM and Gated Recurrent Unit models in stock price movement forecasting. The traditional models suffer from the challenges ...
python train_town_encoder.py --start-phase 2 # 从 Phase 2 开始 python train_town_encoder.py --phase 0 --sample 0.1 # 单阶段测试 from spatial_encoder.v26_GLM.config_v26_pro import V26ProConfig, ...
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