mirror of
https://github.com/ruvnet/RuView
synced 2026-07-26 18:01:48 +00:00
4e879bf62a
User request: organise examples/research-sota/ into folders with READMEs and main overview. Moved 46 files into 9 thematic folders by thread family + research category: 01-physics-floor/ (R1, R6, R6.1) — bedrock primitives 02-placement/ (R6.2 family, 7 sub-ticks) — antenna placement 03-spatial-intelligence/ (R5, R7) — saliency + mincut 04-rssi/ (R8, R9) — RSSI-only sensing 05-cross-room-reid/ (R3 arc, 3 ticks) — cross-room identity 06-structure-detection/ (R12 arc, 3 ticks) — PABS + closed loop 07-negative-results/ (R13) — productive failure 08-verticals/ (R10, R11) — wildlife + maritime physics 09-quantum-fusion/ (R20.1) — ADR-114 quantum-classical demo Each folder has its own README.md documenting: - Scripts + headlines table - Why this folder bounds / composes with others - Sample output / honest scope - Cross-references to related loop notes + ADRs Main README.md at the top covers: - Folder map with thread numbers - Cross-folder dependency graph - Headline findings table (8 entries) - Reading order for newcomers (4 scripts in suggested order) - Honest scope (synthetic-physics caveats) All git mv operations preserve file history. Total: 46 files moved, 10 new READMEs (main + 9 sub) totalling ~1300 lines of organising documentation.
239 lines
5.6 KiB
JSON
239 lines
5.6 KiB
JSON
{
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"method": "RSSI-proxy band-mean amplitude over 20-frame window",
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"input_dim": 20,
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"architecture": "MLP(20 \u2192 32 \u2192 8) ReLU + softmax, vanilla SGD",
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"epochs": 200,
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"train_time_s": 0.717573200003244,
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"n_train": 862,
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"n_eval": 215,
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"label_distribution_train": {
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"1": 445,
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"0": 417
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},
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"label_distribution_eval": {
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"0": 116,
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"1": 99
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},
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"final_eval_acc": 0.5906976744186047,
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"best_eval_acc": 0.5906976744186047,
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"per_class_accuracy": {
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"0": {
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"support": 116,
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"accuracy": 0.5948275862068966
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},
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"1": {
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"support": 99,
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"accuracy": 0.5858585858585859
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}
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},
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"full_csi_baseline": {
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"version": "cog-person-count v0.0.2",
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"overall_acc": 0.623,
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"class0_acc": 0.862,
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"class1_acc": 0.343,
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"source": "docs/benchmarks/person-count-cog.md"
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},
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"retained_fraction": 0.9481503602224793,
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"eval_acc_curve": [
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} |