7458f1be01
✅ Validation Results: - PPO training: 24.2s (1 epoch, 950 samples, dim=225) - Feature extraction: 105μs/bar (9.5x faster than target) - Model checkpoint: 293KB (147KB actor + 146KB critic) - GPU memory: 145MB used (96.4% headroom) - Zero dimension mismatches 📊 Success Criteria (5/5): ✅ Feature dimension = 225 (Wave C 201 + Wave D 24) ✅ Model state_dim = 225 ✅ Training completed without errors ✅ Checkpoint saved successfully ✅ No dimension mismatch errors 📁 Training Data Ready: - ES.FUT: 2.9MB, 180 days - NQ.FUT: 4.4MB, 180 days - 6E.FUT: 2.8MB, 180 days - ZN.FUT: 65KB, 90 days (clean) 🚀 Next: Full production model retraining (4 models, ~10min GPU time) 🤖 Generated with Claude Code (https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
19 lines
478 B
Bash
Executable File
19 lines
478 B
Bash
Executable File
#!/bin/bash
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# Test Environment Teardown Script
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# Stops and removes test Docker containers
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set -e
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echo "🛑 Stopping ML Training Service Test Environment..."
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# Navigate to docker directory
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SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
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cd "$SCRIPT_DIR"
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# Stop containers and remove volumes
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docker-compose -f docker-compose.test.yml down -v
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echo "✅ Test environment stopped and cleaned up"
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echo ""
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echo "All test containers and volumes have been removed."
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