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feat: 升级深度学习模型为 Temporal Fusion Transformer 架构

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- 将 LSTMMLPRegressor 重构为 TemporalFusionRegressor，采用 Transformer Encoder 替代 LSTM
   - 新增 LearnedAttentionPooling 和 GatedResidualBlock 模块增强模型表达能力
   - 优化训练策略，使用 OneCycleLR 调度器和样本加权机制
   - 改进缺勤事件采样算法，基于压力、健康、家庭等维度更精确地计算缺勤时长
   - 更新 .gitignore 排除原始数据文件，删除不再使用的原始 CSV 文件
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shenjianZ
2026-03-20 16:30:08 +08:00
parent ff0fbf96f7
commit 77e38fd15b
6 changed files with 225 additions and 12835 deletions
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backend/.gitignore vendored
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@@ -66,4 +66,6 @@ Thumbs.db
.mypy_cache/
.dmypy.json
dmypy.json
models
models
data