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Author SHA1 Message Date

Author	SHA1	Message	Date
jgrusewski	71eefa6d53	refactor(ml): delete straggler train_mamba2/train_ppo examples These two files survived the 20-file consolidation in `022036cb`. Both are now fully superseded: - train_ppo.rs → train_baseline_rl --model ppo - train_mamba2.rs → train_baseline_supervised --model mamba2 Also updates entrypoint-generic.sh usage examples to reference the unified binaries (train_baseline_rl, train_baseline_supervised). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-25 23:24:53 +01:00
jgrusewski	8d89fe80ff	chore: Second cleanup wave - organize root directory - Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/ - Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root) - Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/ - Delete: 34 directories (~33GB freed) - target/, coverage_, test artifacts - Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries) - Tests: Move 14 .rs files → tests/standalone/ - SQL: Move 5 files → sql/ (keep init-db.sql for Docker) - Wave 153: Archive to docs/archive/historical/wave153/ - Docs: Archive 9 markdown files to wave_d/reports/ and historical/ Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files Directory count reduced from 65 to 31 (52% reduction) All historical data preserved in organized archive structure	2025-10-30 01:26:02 +01:00

jgrusewski

71eefa6d53

refactor(ml): delete straggler train_mamba2/train_ppo examples

These two files survived the 20-file consolidation in 022036cb.
Both are now fully superseded:
- train_ppo.rs → train_baseline_rl --model ppo
- train_mamba2.rs → train_baseline_supervised --model mamba2

Also updates entrypoint-generic.sh usage examples to reference
the unified binaries (train_baseline_rl, train_baseline_supervised).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-25 23:24:53 +01:00

jgrusewski

8d89fe80ff

chore: Second cleanup wave - organize root directory

- Archive: 85 agent .txt files → docs/archive/agents/legacy_txt/
- Scripts: Move 110 shell scripts → scripts/ (keep deploy.sh in root)
- Models: Move 18 .safetensors → ml/models/checkpoints/training_artifacts/
- Delete: 34 directories (~33GB freed) - target/, coverage_*, test artifacts
- Build: Clean 14 build artifacts (.rlib, .o, .pid, binaries)
- Tests: Move 14 .rs files → tests/standalone/
- SQL: Move 5 files → sql/ (keep init-db*.sql for Docker)
- Wave 153: Archive to docs/archive/historical/wave153/
- Docs: Archive 9 markdown files to wave_d/reports/ and historical/

Total impact: ~34GB freed (both waves), root directory cleaned from 583 to ~40 essential files
Directory count reduced from 65 to 31 (52% reduction)
All historical data preserved in organized archive structure

2025-10-30 01:26:02 +01:00

2 Commits