Publish openmhc-dlinear-7day-imp

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.pypots filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,57 @@
+---
+license: openrail
+library_name: openmhc
+pipeline_tag: time-series-forecasting
+tags:
+  - openmhc
+  - wearables
+  - time-series
+  - imputation
+---
+
+# OpenMHC DLinear (7-day)
+
+Reference checkpoint for [OpenMHC](https://github.com/AshleyLab/myheartcounts-dataset).
+Window: weekly (10080 minute), 19 sensor channels.
+
+Wrapper around a [PyPOTS](https://github.com/WenjieDu/PyPOTS)-backed imputer trained on the OpenMHC imputation training split. Reconstructs masked sensor windows across 19 channels.
+
+## Usage
+
+```python
+from openmhc.imputers import DLinearImputer
+import openmhc
+
+imp = DLinearImputer.from_release("hf://MyHeartCounts/openmhc-dlinear-7day-imp")
+results = openmhc.evaluate_imputation(imp, version="xs")
+print(results.summary())
+```
+
+Requires the matching optional extras: `pip install 'openmhc[pypots,hf]'`.
+
+Pin a specific revision with the `@` suffix:
+
+```python
+DLinearImputer.from_release("hf://MyHeartCounts/openmhc-dlinear-7day-imp@v1.0")
+```
+
+## Provenance
+
+- Origin: W&B artifact `MHC_Dataset/mhc-pypots-dlinear/dlinear:v48`
+- Validation: **val MAE 0.1456 (epoch 16)**
+- 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}
+}
+```

model.pypots

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:784de89b49459aa02742d054ad94e4a3f0985aa3b8366e9a19778af62cf49722
+size 813056274

normalization_stats.json

@@ -0,0 +1,54 @@
+{
+  "means": [
+    3.7840339750127487,
+    2.6849873297666744,
+    0.0037987968301417736,
+    4.990785229557641,
+    3.942782601414727,
+    1.1693829453482234,
+    382.88523109865076,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0,
+    0.0
+  ],
+  "stds": [
+    13.527675493780755,
+    9.76584245533059,
+    0.06214606112600522,
+    15.091108207675827,
+    12.4344344973682,
+    0.31835142751255574,
+    970.3810879107837,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0,
+    1.0
+  ],
+  "channels": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6
+  ],
+  "epsilon": 1e-08
+}

openmhc_manifest.json

@@ -0,0 +1,19 @@
+{
+  "spec_version": 1,
+  "kind": "dlinear",
+  "checkpoint": "model.pypots",
+  "normalization_stats": "normalization_stats.json",
+  "arch": {
+    "n_steps": 10080,
+    "n_features": 19,
+    "moving_avg_window_size": 51,
+    "d_model": 256
+  },
+  "provenance": {
+    "source_config": "/home/users/schuetzn/MHC-benchmark/results/imputation_eval/pypots_dlinear_7day_max91d_20260329_112212/config.yaml",
+    "eval_run": "pypots_dlinear_7day_max91d_20260329_112212",
+    "training_run": "dlinear_v48",
+    "experiment_name": "pypots_dlinear_7day_max91d_20260329_112212",
+    "model_path_override": "/scratch/users/schuetzn/wandb-cache/dlinear_v48/DLinear_epoch16_MAE0.1456.pypots"
+  }
+}