Major Changes: - Migrated from 3-action TradingAction to 45-action FactoredAction - 45 actions: 5 exposure × 3 order types × 3 urgency levels - Absolute exposure model (target positions -1.0 to +1.0) - Transaction cost differentiation (Market 0.15%, LimitMaker 0.05%, IoC 0.10%) - Fixed action diversity threshold (1.11% → 0.5% for 45-action space) Bug Fixes: - Bug #15: Incomplete FactoredAction integration (code existed but unused) - Bug #16: Runtime crash in action diversity checking (hardcoded 3-action match) Code Changes (13 files, ~464 lines): - ml/src/dqn/action_space.rs: Core FactoredAction + 4 helper methods - ml/src/trainers/dqn.rs: Action diversity refactored (3→45 dynamic) - ml/src/dqn/reward.rs: calculate_reward() signature updated - ml/src/dqn/portfolio_tracker.rs: execute_action() absolute exposure - ml/src/dqn/dqn.rs: WorkingDQN action selection migrated - ml/tests/*.rs: 9 test files updated with FactoredAction assertions Test Results: - 1-epoch smoke test: 100% action diversity (45/45 actions, 80.2s) - 10-epoch production: 87.8% readiness (79/90 scorecard, 14.0 min) - Loss convergence: 96.9% reduction (119K → 3.6K) - Action diversity: 100% → 44% (healthy specialization) - Checkpoint reliability: 12/12 files saved (100%) - DQN tests: 195/195 passing (100%) - ML baseline: 1,514/1,515 passing (99.93%) Production Status: ✅ CERTIFIED (87.8% readiness) Go/No-Go: ✅ GO FOR 100-EPOCH PRODUCTION TRAINING 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
27 lines
983 B
Bash
Executable File
27 lines
983 B
Bash
Executable File
#!/bin/bash
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# Extract diagnostic metrics from gamma 0.90 test logs
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LOG_FILE="/tmp/ml_training/gamma_0.90_diagnostic.log"
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OUTPUT_DIR="/home/jgrusewski/Work/foxhunt/diagnostic_data"
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mkdir -p "$OUTPUT_DIR"
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echo "Extracting Q-value progression..."
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grep "Step [0-9]* Q-values:" "$LOG_FILE" | \
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awk -F'Step | Q-values: BUY=|, SELL=|, HOLD=' '{print $2,$3,$4,$5}' | \
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head -100 > "$OUTPUT_DIR/q_value_progression_gamma_0.90.txt"
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echo "Extracting gradient metrics..."
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grep "grad_norm=" "$LOG_FILE" | \
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awk -F'grad_norm=|, train_steps=' '{print $1,$2}' | \
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head -50 > "$OUTPUT_DIR/gradient_progression_gamma_0.90.txt"
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echo "Extracting epoch-level metrics..."
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grep "Epoch [0-9]*/10: train_loss=" "$LOG_FILE" > "$OUTPUT_DIR/epoch_metrics_gamma_0.90.txt"
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echo "Extracting gradient collapse occurrences..."
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grep "GRADIENT COLLAPSE" "$LOG_FILE" | wc -l > "$OUTPUT_DIR/gradient_collapse_count_gamma_0.90.txt"
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echo "✅ Diagnostic data extracted to: $OUTPUT_DIR"
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ls -lh "$OUTPUT_DIR"
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