2df1ea92e1
BREAKING CHANGES: - Removed orphaned dqn.rs monolithic trainer (4,975 lines) - Removed orphaned dqn_ensemble.rs module (816 lines) - Removed orphaned tft.rs and tft_complete_int8_integration_test.rs - TFT trainer split into modular directory structure DQN Module Refactoring: - Split trainers/dqn.rs into modular structure (config.rs, statistics.rs, trainer.rs) - Fixed hyperopt 39D search space (continuous params only) - Boolean flags (use_dueling, use_double_dqn, use_per, use_noisy_nets) are now FIXED architectural decisions - use_distributional defaults to false (Candle BUG #36 - scatter_add gradient issues) Clean Module Structure: - ml/src/trainers/dqn/ directory with proper mod.rs exports - ml/src/trainers/tft/ directory with config.rs, types.rs, model.rs, trainer.rs, tests.rs - All P0 features validated: TD-error clamping, batch diversity, LR scheduler, priority staleness Documentation: - Added comprehensive docs in docs/codebase-cleanup/ - ADR-001 for DQN refactoring decisions - Rainbow DQN component matrix and quick reference guides Build Status: Compiles with zero errors 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
22 lines
669 B
Bash
Executable File
22 lines
669 B
Bash
Executable File
#!/bin/bash
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# Monitor DQN Hyperopt Pod: glbvnf9q7wn5nr
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# Deployment: 2025-11-02 01:07:45
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# Expected completion: 2025-11-02 01:20-01:33
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POD_ID="glbvnf9q7wn5nr"
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OUTPUT_DIR="dqn_hyperopt_corrected_20251102_010745"
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echo "=========================================="
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echo "DQN HYPEROPT POD MONITOR"
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echo "=========================================="
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echo "Pod ID: $POD_ID"
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echo "Output: $OUTPUT_DIR"
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echo "Expected: 12-25 min ($0.05-$0.10)"
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echo "=========================================="
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echo ""
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# Activate venv and monitor logs
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source .venv/bin/activate
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PYTHONPATH=/home/jgrusewski/Work/foxhunt:$PYTHONPATH \
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python3 scripts/monitor_logs.py --pod-id $POD_ID --follow
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