张宗平 ccdd43081d test(real_bench): use 'swat' (guaranteed absent) for missing-data test
The missing-data test assumed SMD was absent, but after downloading real
SMD data for the cross-domain diagnostic it now loads successfully, so the
test no longer exercised the FileNotFoundError path. Switch to 'swat'
(another registered dataset whose files are absent) to keep the test valid
regardless of which real datasets happen to be present locally.
2026-07-03 11:53:02 +00:00
2026-06-29 21:16:52 +08:00
2026-06-29 21:16:52 +08:00
2026-06-29 21:16:52 +08:00
2026-06-29 21:16:52 +08:00
2026-06-29 21:16:52 +08:00
2026-06-29 21:16:52 +08:00
2026-06-29 21:16:52 +08:00

tsmm

Time-series as a Modality — an experimental, single-GPU multimodal model that treats multivariate time series as an independent modality, jointly injected into a small LLM (Qwen2.5-0.5B) for time-series question answering and reasoning (ChatTS route).

Status

M1 (data pipeline) under construction. See docs/superpowers/specs/2026-06-29-ts-as-modality-design.md for the design and docs/superpowers/plans/2026-06-29-ts-as-modality-plan.md for the task plan.

Layout

src/tsmm/   package (data, model, train, eval)
configs/    training / data configs
scripts/    offline generation & training entrypoints
tests/      pytest suite
data/       generated datasets (gitignored)
checkpoints/ model checkpoints (gitignored)

Install (dev)

python3 -m venv .venv
. .venv/bin/activate
pip install -e .            # full deps (incl. torch/transformers/peft/...)
# M1-only lightweight install:
pip install numpy tqdm pyyaml pytest && pip install -e . --no-deps
S
Description
No description provided
Readme 421 KiB
Languages
Shell 99.8%
TypeScript 0.2%