3853988af7
- 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>
23 lines
553 B
Bash
Executable File
23 lines
553 B
Bash
Executable File
#!/bin/bash
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# Quick script to monitor MAMBA2 hyperopt pod vxe61htb07u7jy
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set -e
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POD_ID="vxe61htb07u7jy"
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echo "========================================="
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echo "MAMBA2 Hyperopt Pod Monitor"
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echo "Pod ID: $POD_ID"
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echo "========================================="
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echo ""
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# Activate venv
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source .venv/bin/activate
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# Monitor logs with follow mode
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echo "Streaming logs from pod (press Ctrl+C to stop)..."
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echo ""
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python3 scripts/monitor_logs.py --pod-id "$POD_ID" --follow
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# Note: When logs show "early_stopping_patience: 5", the deployment is correct!
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