ef2f8e8827d7c13159137bd4c9b4b703fe643493
CMA-ES trainer (cma_trainer.py): self-play pool, bootstrap CI, ScenarioFactory with behavior-driven scenarios, auto-compile, label query interfaces. Policy registry (registry.py): CANDIDATE → ACTIVE lifecycle. Training pipeline (pipeline.py): bounded continuous learning loop + logger. Strategy selector (selector.py): regime → strategy mapping, performance matrix.
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
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Python
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