Research validation (Horizon 9)
ts2net ships literature fixtures, bundled UCR datasets, and reproducibility manifests.
Datasets
ts2net.datasets—synthetic_causal,synthetic_classification,synthetic_anomaly,synthetic_regime,spain_meters_summaryBundled UCR archives under
ts2net/datasets/data/ucr/ts2net.datasets.load_ucr(),ts2net.datasets.run_ucr_benchmark()
Fixtures
Run all checks:
python benchmarks/run_validation.py
TS2NET_CI_SMOKE=1 python benchmarks/run_validation.py
Recorded UCR baselines live in ts2net/datasets/data/ucr_baselines.json.
Outputs
benchmarks/results/validation_manifest.jsonbenchmarks/results/ucr_benchmark.json