docs: CHECKLIST sweep + .gitignore session artifacts + UI CSS catchup
- CHECKLIST.md: refresh head sha (12e1cf9d), date (2026-05-18),
count (47 → 50 Done), explicit Done entries for ADR-118/119/120
with the full session accuracy trajectory (40.4% → 90.40%).
- .gitignore: stop tracking deployment-specific training artifacts:
v2/data/recordings/ (175 MB each), v2/data/adaptive_model.json
(regenerated on each retrain), v2/data/baseline.json (regenerated
on /api/v1/baseline/calibrate).
- ui/style.css: ship the .sensing-class-label color rules for
present_moving (yellow), waving (purple), transition (orange) —
written during ADR-117 conversation but missed by that commit.
- git rm --cached v2/data/adaptive_model.json (stays on disk; untracked).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
arsen
parent
12e1cf9d5e
commit
e2c68191a2
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@ -258,3 +258,11 @@ v2/crates/rvcsi-node/*.node
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v2/crates/rvcsi-node/binding.js
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v2/crates/rvcsi-node/binding.js
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v2/crates/rvcsi-node/binding.d.ts
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v2/crates/rvcsi-node/binding.d.ts
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v2/crates/rvcsi-node/npm/
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v2/crates/rvcsi-node/npm/
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# ADR-117/118/119/120: deployment-specific training artifacts.
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# - recordings/ are large (175 MB each) and room/operator-specific
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# - adaptive_model.json is regenerated by `POST /api/v1/adaptive/train`
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# - baseline.json is regenerated by `POST /api/v1/baseline/calibrate`
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v2/data/recordings/
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v2/data/adaptive_model.json
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v2/data/baseline.json
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66
CHECKLIST.md
66
CHECKLIST.md
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@ -5,15 +5,39 @@ at the end of every session. Pair with
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[`docs/references/espectre-gap-analysis.md`](docs/references/espectre-gap-analysis.md)
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[`docs/references/espectre-gap-analysis.md`](docs/references/espectre-gap-analysis.md)
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for the technical detail behind each line.
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for the technical detail behind each line.
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Last sweep: **2026-05-17**, branch `feat/ota-rssi-mobile`, head `0ec1e4b0`.
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Last sweep: **2026-05-18**, branch `feat/ota-rssi-mobile`, head `12e1cf9d`.
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Status: 47 Done / 0 Open in-scope. Deferred items (out of session scope,
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Status: 50 Done / 0 Open in-scope. Deferred items (out of session scope,
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each with explicit reason) listed at the bottom.
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each with explicit reason) listed at the bottom.
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This count includes the ADR-100..114 carry-in from the prior agent + this
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This count includes the ADR-100..114 carry-in from the prior agent +
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session's ADR-115 (FW set-target REST), ADR-116 (WiFlow-v1 Rust loader),
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this session's:
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ADR-116 cosmetic (UI dropdown), and ADR-117 (process hygiene + audit
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* **ADR-115** — FW `/ota/set-target` REST endpoint
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follow-ups). ADR-111 is intentionally absent (folded into ADR-109 during
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* **ADR-116** — WiFlow-v1 supervised pose loader in Rust + UI dropdown
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the AP-MAC tracking work).
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* **ADR-117** — process hygiene (ping zombies, loopback filter, audit sweep)
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* **ADR-118** — feature decorrelation + multi-node 22-feature extractor
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* **ADR-119** — frame-level MLP classifier (22→32→6) replacing LogReg fallback
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* **ADR-120** — windowed temporal classifier (W-MLP, 440→64→6) +
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hybrid priority (rule-based owns 4 base classes, W-MLP owns
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waving/transition) + two-layer label smoothing +
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`/api/v1/adaptive/debug` diagnostic endpoint
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ADR-111 is intentionally absent (folded into ADR-109 during the AP-MAC
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tracking work).
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Adaptive classifier accuracy trajectory across the session:
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```
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2-node 15-feat LogReg 40.4% baseline
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6-node 15-feat LogReg 44.4% +4.0 (more sensors)
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6-node 22-feat LogReg 49.58% +5.2 (ADR-118 feature engineering)
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6-node 22-feat MLP 53.53% +3.95 (ADR-119 non-linear)
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6-node 22-feat W-MLP 90.40% +36.87 (ADR-120 temporal context)
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─────
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total +50.0 pts vs baseline
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```
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W-MLP 90.40% is training-set accuracy; live `transition` class is
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over-represented (model overfit to ambiguous training frames).
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Held-out test set + cleaner per-class re-records are the recommended
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next step.
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---
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---
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@ -91,6 +115,30 @@ the AP-MAC tracking work).
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runtime classifier; sensing tab container restored; multi-node
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runtime classifier; sensing tab container restored; multi-node
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test guards external :5005; docs/typo/range sweep.
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test guards external :5005; docs/typo/range sweep.
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### Adaptive Classifier (data pipeline + model)
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- [x] **ADR-118** Feature decorrelation + multi-node extractor —
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audit on 6-node 151k-frame set found 21 multicollinear pairs +
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1 dead feature (`amp_min` constant 0); refactored to 22 features
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(4 global + 6 nodes × 3) with proper z-score normalisation.
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Accuracy 44.4% → 49.58% (commit `e86f6506`).
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- [x] **ADR-119** Frame-level MLP (22→32→6 ReLU+softmax) replaces
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LogReg fallback — manual backprop, no external ML crate,
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~3k weights, trains in seconds. Accuracy 49.58% → 53.53%
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(+3.95 pts, concentrated on motion classes — exactly where
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non-linear combinations matter; commit `94330708`).
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- [x] **ADR-120** Windowed temporal classifier (W-MLP, 440→64→6) —
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stacks 20 frames × 22 features for temporal pattern recognition.
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Captures walking cadence (~2 Hz), sit-stand cycles (~0.5 Hz),
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gesture rhythm (1-2 Hz). Accuracy 53.53% → 90.40% training
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(+36.87 pts; held-out generalisation TBD). Hybrid priority:
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rule-based owns 4 base classes (ESPectre F1>96%), W-MLP owns
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`waving`/`transition` exclusively. Two-layer label smoothing
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(15-tick mode + 2-tick confirm) stops UI flicker.
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`/api/v1/adaptive/debug` exposes raw model labels for
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operator diagnostics (commits `da4c123d`, `442c03da`, `3e12686a`,
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`c3f00f3a`, `77d404d6`, `2956414b`, `12e1cf9d`).
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### Tests / fixtures
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### Tests / fixtures
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- [x] **ADR-114** `tests/fixtures/replay_idle.jsonl` +
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- [x] **ADR-114** `tests/fixtures/replay_idle.jsonl` +
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@ -112,7 +160,7 @@ the AP-MAC tracking work).
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### Documentation
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### Documentation
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- [x] **ADR-100..117** all written (ADR-111 intentionally absent), each ≤ 200 lines
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- [x] **ADR-100..120** all written (ADR-111 intentionally absent), each ≤ 200 lines
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- [x] `docs/references/espectre-techniques.md` — Pace technique catalogue
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- [x] `docs/references/espectre-techniques.md` — Pace technique catalogue
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- [x] `docs/references/espectre-gap-analysis.md` — section-by-section gap
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- [x] `docs/references/espectre-gap-analysis.md` — section-by-section gap
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- [x] Documentation actualization sweep — every Open Items section
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- [x] Documentation actualization sweep — every Open Items section
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@ -178,7 +226,7 @@ an explicit reason. Bring them back only if scope changes.
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| Doc | Purpose |
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| Doc | Purpose |
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|---|---|
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| [`docs/adr/`](docs/adr) | All ADRs 001-117 (111 absent); 100-117 are this session |
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| [`docs/adr/`](docs/adr) | All ADRs 001-120 (111 absent); 100-120 are this session |
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| [`docs/references/espectre-techniques.md`](docs/references/espectre-techniques.md) | Pace technique catalogue + RuView adoption |
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| [`docs/references/espectre-techniques.md`](docs/references/espectre-techniques.md) | Pace technique catalogue + RuView adoption |
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| [`docs/references/espectre-gap-analysis.md`](docs/references/espectre-gap-analysis.md) | Section-by-section gap with priority table |
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| [`docs/references/espectre-gap-analysis.md`](docs/references/espectre-gap-analysis.md) | Section-by-section gap with priority table |
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| [`docs/references/ota-pipeline.md`](docs/references/ota-pipeline.md) | OTA recipe — port 8032, three FW prereqs |
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| [`docs/references/ota-pipeline.md`](docs/references/ota-pipeline.md) | OTA recipe — port 8032, three FW prereqs |
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16
ui/style.css
16
ui/style.css
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@ -2033,6 +2033,22 @@ canvas {
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color: var(--color-error);
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color: var(--color-error);
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}
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}
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/* ADR-117 follow-up: extended class vocabulary from adaptive_classifier. */
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.sensing-class-label.present_moving {
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background: rgba(var(--color-warning-rgb), 0.15);
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color: var(--color-warning);
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}
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.sensing-class-label.waving {
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background: rgba(155, 89, 182, 0.15); /* purple — gestures, body still */
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color: rgb(155, 89, 182);
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}
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.sensing-class-label.transition {
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background: rgba(230, 126, 34, 0.18); /* orange — discrete event */
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color: rgb(230, 126, 34);
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}
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.sensing-confidence {
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.sensing-confidence {
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display: grid;
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display: grid;
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grid-template-columns: 70px 1fr 40px;
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grid-template-columns: 70px 1fr 40px;
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@ -1,267 +0,0 @@
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{
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"class_stats": [
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{
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"label": "absent",
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"count": 862,
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"mean": [
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66.68196972264862,
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67.23973219951662,
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65.0340640002779,
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205.65861248066514,
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1.2587006960556917,
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8.192575406032482,
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0.0,
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9.823395623712905,
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6.970045450727901,
|
|
||||||
-0.04488812678641681,
|
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-0.9594767860850162,
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||||||
10.78889030301701,
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||||||
0.8330000846014487,
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22.47189099978742,
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||||||
22.47189099978742
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||||||
],
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"stddev": [
|
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64.0493846652119,
|
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||||||
90.27545165651007,
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||||||
40.157907144682206,
|
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161.60550836256004,
|
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1.3807130815029451,
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3.2814660018571113,
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||||||
0.0,
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2.219723108446689,
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|
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1.6521309619598676,
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|
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0.342852106459665,
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0.30620004291079783,
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|
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3.529722483499124,
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0.17574148506941875,
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5.519861526721805,
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||||||
5.519861526721805
|
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]
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},
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{
|
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"label": "present_still",
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"count": 852,
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||||||
"mean": [
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66.39259262094396,
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64.42298266818027,
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|
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68.34546366405283,
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|
||||||
203.34049479166666,
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||||||
1.1900821596244182,
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|
||||||
8.200704225352112,
|
|
||||||
0.0,
|
|
||||||
10.032339700775715,
|
|
||||||
7.234479413048846,
|
|
||||||
0.027056637948278107,
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|
||||||
-0.9161490234231624,
|
|
||||||
10.991429347401095,
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||||||
0.8298622589530178,
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23.588978503428145,
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||||||
23.588978503428145
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|
||||||
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||||||
"stddev": [
|
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59.144593976065984,
|
|
||||||
82.61098004853669,
|
|
||||||
40.08306971525127,
|
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||||||
152.89405234329087,
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|
||||||
1.2031203046363153,
|
|
||||||
3.0571012493320526,
|
|
||||||
0.0,
|
|
||||||
2.22294769203091,
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|
||||||
1.6508044238677446,
|
|
||||||
0.3315329147240876,
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|
||||||
0.29437997092330526,
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|
||||||
3.3214071045026303,
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|
||||||
0.17096813624285292,
|
|
||||||
5.622953396738593,
|
|
||||||
5.622953396738593
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|
||||||
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|
|
||||||
},
|
|
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{
|
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"label": "present_moving",
|
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"count": 808,
|
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"mean": [
|
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65.17005228763453,
|
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66.55424930761484,
|
|
||||||
63.785855267654334,
|
|
||||||
208.73719832920793,
|
|
||||||
1.3400990099009942,
|
|
||||||
7.570544554455446,
|
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||||||
0.0,
|
|
||||||
10.069915394050431,
|
|
||||||
6.923405617584522,
|
|
||||||
-0.1440461642917184,
|
|
||||||
-1.0022460352626226,
|
|
||||||
10.664608744841848,
|
|
||||||
0.8384559212414682,
|
|
||||||
21.798331033369895,
|
|
||||||
21.798331033369895
|
|
||||||
],
|
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||||||
"stddev": [
|
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||||||
66.1800697503931,
|
|
||||||
93.22042148141067,
|
|
||||||
42.07226450730718,
|
|
||||||
164.93282045618218,
|
|
||||||
1.3706144246607475,
|
|
||||||
3.1453995481213224,
|
|
||||||
0.0,
|
|
||||||
2.431170975696439,
|
|
||||||
1.672707406405861,
|
|
||||||
0.35643090355922863,
|
|
||||||
0.30897080072710387,
|
|
||||||
3.325911716352165,
|
|
||||||
0.1806597020966414,
|
|
||||||
5.418714527442832,
|
|
||||||
5.418714527442832
|
|
||||||
]
|
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||||||
},
|
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{
|
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||||||
"label": "active",
|
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||||||
"count": 794,
|
|
||||||
"mean": [
|
|
||||||
61.85289600233076,
|
|
||||||
61.12723986655727,
|
|
||||||
62.468831971775344,
|
|
||||||
193.2018524349286,
|
|
||||||
1.2329974811083138,
|
|
||||||
8.083123425692696,
|
|
||||||
0.0,
|
|
||||||
9.747035051350043,
|
|
||||||
7.009904234422278,
|
|
||||||
0.007176072447431498,
|
|
||||||
-0.9950501087764124,
|
|
||||||
11.015545839210892,
|
|
||||||
0.8278984910895401,
|
|
||||||
22.445656559614797,
|
|
||||||
22.445656559614797
|
|
||||||
],
|
|
||||||
"stddev": [
|
|
||||||
50.44687370766278,
|
|
||||||
74.07914900524236,
|
|
||||||
31.558067649516538,
|
|
||||||
121.0762294406304,
|
|
||||||
1.2507304998955402,
|
|
||||||
3.4503520526220344,
|
|
||||||
0.0,
|
|
||||||
2.2730029390882156,
|
|
||||||
1.6768264387667406,
|
|
||||||
0.3214256392367928,
|
|
||||||
0.31003127617615406,
|
|
||||||
3.1187829194728285,
|
|
||||||
0.1772099351197549,
|
|
||||||
5.595050695741912,
|
|
||||||
5.595050695741912
|
|
||||||
]
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"weights": [
|
|
||||||
[
|
|
||||||
0.9923736589617821,
|
|
||||||
-0.4600422332552322,
|
|
||||||
-0.3922101552522972,
|
|
||||||
-0.1686954616947851,
|
|
||||||
-0.08471937018349271,
|
|
||||||
0.033940973559074515,
|
|
||||||
0.0,
|
|
||||||
-1.116294981490482,
|
|
||||||
-0.213861080404439,
|
|
||||||
-0.41727297566573723,
|
|
||||||
0.08025552056009382,
|
|
||||||
0.20864577739519874,
|
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||||||
0.36814779033318357,
|
|
||||||
0.46242679535538855,
|
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0.46242679535538855,
|
|
||||||
0.09475205040199337
|
|
||||||
],
|
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[
|
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||||||
0.04661470129518883,
|
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||||||
0.7974124099989739,
|
|
||||||
0.3953040913806362,
|
|
||||||
-1.2708868935843511,
|
|
||||||
0.10073070355913086,
|
|
||||||
0.0735810797517633,
|
|
||||||
0.0,
|
|
||||||
-0.3957608057630568,
|
|
||||||
0.22091779039114648,
|
|
||||||
-0.43105406953304665,
|
|
||||||
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"training_accuracy": 0.4149577804583836,
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||||||
"version": 1
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||||||
}
|
|
||||||
Loading…
Reference in New Issue