jgrusewski
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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
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2025-10-30 01:26:02 +01:00 |
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jgrusewski
|
433af5c25d
|
chore: Major codebase cleanup - remove deprecated files and organize structure
- Docker: Delete 23 deprecated Dockerfiles, fix CI/CD to use Dockerfile.foxhunt-build
- Config: Remove 36 .env files, keep 4 essential, delete config/environments/
- Docs: Archive 614 Wave D files to docs/archive/wave_d/, 95% reduction in root
- Scripts: Delete 56 deprecated scripts, keep 58 production-critical (49% reduction)
- Python: Organize 37 scripts into scripts/python/ subdirectories, delete ml/python/
- Build: Remove 1GB artifacts, delete old venvs, clean Python cache from git
- Migrations: Delete deprecated directory (4,432 lines), remove duplicate database/migrations/
- Infrastructure: Delete deployment/ (61 files), docs/scripts/ (8 files)
Total impact: ~2,500 files cleaned, 750MB+ space freed, zero production impact
All deleted scripts backed up to archives. runpod/ and tests/runpod/ preserved.
data_acquisition_service retained per user request.
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2025-10-30 01:02:34 +01:00 |
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jgrusewski
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e61e8f54da
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feat(ml): Complete hyperopt infrastructure + documentation
Changes:
- CLAUDE.md: Update OOM fix validation status
- Add comprehensive documentation (30+ markdown reports)
- LSTM encoder varmap bug fix (tft/lstm_encoder.rs:290)
- Quantized LSTM layer matching fix (tft/quantized_lstm.rs)
- Hyperopt paths module (ml/src/hyperopt/paths.rs)
- Training path tests for all adapters (DQN, MAMBA-2, PPO, TFT)
- Checkpoint integrity tests
- Script cleanup: Remove 29 obsolete deployment scripts
- Archive old scripts to scripts/archive/
- New deployment utilities: check_gpu_availability.py, monitor_hyperopt.sh
Validation:
- OOM fixes validated: 5/5 trials successful (pod b6kc3mc5lbjiro)
- Batch-size-max 256 tested successfully
- All hyperopt adapters working correctly
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-10-29 19:52:21 +01:00 |
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