Files
foxhunt/docs/archive/deprecated_scripts
jgrusewski 3853988af7 feat(hyperopt): Complete DQN hyperopt analysis and PSO optimizer fix
- Fixed PSO budget calculation bug in ml/src/hyperopt/optimizer.rs
  - Root cause: Division by n_particles in sequential execution
  - Now correctly calculates max_iters = remaining_trials (no division)
  - Result: 50 trials complete instead of 23 (100% vs 46%)

- Added comprehensive DQN hyperopt results analysis
  - 39/50 trials analyzed across 2 RunPod deployments
  - Best hyperparameters identified: LR 4.89e-5 (ultra-low)
  - Created DQN_HYPEROPT_RESULTS_SUMMARY.md with expert validation

- GitLab CI/CD pipeline operational (48 lines fixed)
  - Fixed YAML syntax errors (unquoted colons)
  - All 7 jobs validated and working

- Warning cleanup complete (136 → 0 warnings)
  - Removed 143 lines dead code
  - Fixed visibility, unused imports, Debug traits

- Archived Wave D reports to docs/archive/
  - 8 early stopping reports moved
  - Root directory cleaned up

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-02 21:49:07 +01:00
..

Deprecated Deployment Scripts

Archive Date: 2025-11-02 Reason: Consolidated duplicate deployment scripts to reduce confusion

Why These Scripts Were Deprecated

During the hyperopt optimization phase (Oct-Nov 2025), multiple versions of deployment scripts were created:

  • *_corrected.sh: Fixed objective functions (validation loss → episode rewards)
  • *_batch256.sh: Experimental batch size configurations
  • *_rtx4090_corrected.sh: GPU-specific optimizations
  • *_completion.sh: Intermediate test scripts

After hyperopt completion, the canonical versions were consolidated into:

  • deploy_{model}_hyperopt.sh: Standard hyperparameter optimization
  • deploy_{model}_production.sh: Production training with optimized hyperparameters

Migration Guide

Deprecated Script Canonical Replacement
deploy_dqn_hyperopt_corrected.sh deploy_dqn_hyperopt.sh
deploy_ppo_hyperopt_corrected.sh deploy_ppo_hyperopt.sh
deploy_ppo_hyperopt_completion.sh deploy_ppo_hyperopt.sh
deploy_ppo_production_corrected.sh deploy_ppo_production.sh
deploy_mamba2_hyperopt_batch256.sh deploy_mamba2_hyperopt.sh
deploy_mamba2_hyperopt_rtx4090_corrected.sh deploy_mamba2_hyperopt.sh

Key Changes in Canonical Scripts

  1. DQN Hyperopt: Uses episode rewards as objective (not validation loss)
  2. PPO Hyperopt: Optimizes dual learning rates (policy + value)
  3. MAMBA2 Hyperopt: Standardized batch size (no hardcoded 256)
  4. All Scripts: Updated with historical results and best hyperparameters

Archived Scripts

All deprecated scripts preserved here for historical reference. Do not use in production.