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2026-01-23 12:00:29 +08:00
parent 97e47be051
commit 0f74156460
5 changed files with 22 additions and 4 deletions

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@@ -68,6 +68,7 @@ python example/run_pipeline.py --device auto
- Continuous head can be bounded with `tanh` via `use_tanh_eps` in config.
- Export now clamps continuous features to training min/max and preserves integer/decimal precision.
- `<UNK>` tokens are replaced by the most frequent token for each discrete column at export.
- Continuous prediction mode can be switched via `cont_pred` (`eps` or `x0`).
- The script only samples the first 5000 rows to stay fast.
- `prepare_data.py` runs without PyTorch, but `train.py` and `sample.py` require it.
- `train.py` and `sample.py` auto-select GPU if available; otherwise they fall back to CPU.