Update docs with latest architecture and results
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@@ -16,3 +16,8 @@ Tools:
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- `example/run_all_full.py` for one-command full pipeline + diagnostics.
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Notes:
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- If `use_quantile_transform` is enabled, run `prepare_data.py` with `full_stats: true` to build quantile tables.
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Current status (high level):
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- Two-stage pipeline (GRU trend + diffusion residuals).
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- Quantile transform + post-hoc calibration enabled for continuous features.
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- Latest metrics (2026-01-27 21:22): avg_ks ~0.405 / avg_jsd ~0.038 / avg_lag1_diff ~0.145.
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