# residual-projection v2
# upstream_doi=Su et al., IPCCC 2018 (AIOps Challenge 2018 KPI corpus)
# upstream_url=https://github.com/NetManAIOps/Bagel
# upstream_archive=aiops_bagel/sample_data.csv
# upstream_total_rows=17569
# fault_case=AIOps Challenge 2018 KPI canonical sample (5-min cadence)
# extraction_recipe=see crates/dsfb-debug/data/README.md
# extracted_at=2026-05-06T18:36:28.880608Z
# license=Apache-2.0 (Bagel repo)
# num_windows=32
# num_signals=4
# healthy_window_end=12
# fault_labels=0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
# channels=kpi_subsegment_0,kpi_subsegment_1,kpi_subsegment_2,kpi_subsegment_3
# notes=The single KPI series is reshaped into N_SIGNALS=4
# contiguous sub-segments to give multivariate
# detectors something to correlate over. Reshaping is
# deterministic; bytes are real upstream.
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