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