You can deploy this model and start earning money today!

MyHeartCounts/
openmhc-lsm2-weekly-sparse

Name: openmhc-lsm2-weekly-sparse
Availability: InStock

Views

No views yet

OpenMHC LSM2 weekly-sparse

Reference checkpoint for OpenMHC. Window: weekly (10080 minute) sparse-decoder, 19 sensor channels.

A sparse-decoder extension of LSM2 for 7-day inputs. Instead of one transformer over the full week, this variant applies the frozen daily encoder (LSM2-daily) independently per-day and reconstructs the week through alternating day-local / cross-day decoder blocks (optionally calendar-aware via RoPE day embeddings). Lower compute than the dense weekly variant. Wrapped here for the OpenMHC imputation evaluation track.

Usage

python

from openmhc.imputers import LSM2WeeklySparseImputer
import openmhc

imp = LSM2WeeklySparseImputer.from_release("hf://MyHeartCounts/openmhc-lsm2-weekly-sparse")
results = openmhc.evaluate_imputation(imp, version="xs")
print(results.summary())

Requires the matching optional extras: pip install 'openmhc[lsm2,hf]'.

Pin a specific revision with the @ suffix:

LSM2WeeklySparseImputer.from_release("hf://MyHeartCounts/openmhc-lsm2-weekly-sparse@v1.0")

Provenance

Origin: W&B artifact MHC_Dataset/mhc-mae-ssl/mae-weekly-sparse-d4:v0
Validation: val loss 0.2464
Architecture hyperparameters are pinned in openmhc_manifest.json.

License

Released under the OpenRAIL license. See the OpenMHC repository for use restrictions tied to the underlying data agreement.

Citation

bibtex

@misc{openmhc,
  title  = {OpenMHC: Accelerating the Science of Wearable Foundation Models},
  author = {OpenMHC team},
  url    = {https://github.com/AshleyLab/myheartcounts-dataset}
}