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>
33 lines
596 B
Rust
33 lines
596 B
Rust
//! End-to-End Tests for TLI Training Commands
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//!
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//! This module contains comprehensive E2E tests for all TLI training commands:
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//! - train start
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//! - train watch
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//! - train status
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//! - train list
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//! - train stop
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//! - Full user workflows
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// Mock services and fixtures
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pub mod mock_ml_training_service;
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pub mod test_fixtures;
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// E2E test modules
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#[cfg(test)]
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mod train_list_e2e_test;
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#[cfg(test)]
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mod train_start_e2e_test;
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#[cfg(test)]
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mod train_watch_e2e_test;
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#[cfg(test)]
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mod train_status_e2e_test;
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#[cfg(test)]
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mod train_stop_e2e_test;
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#[cfg(test)]
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mod full_user_workflow_test;
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