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- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
5 lines
162 B
Python
5 lines
162 B
Python
"""Backward-compat stub — moved to skillopt.optimizer.clip."""
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from skillopt.optimizer.clip import rank_and_select # noqa: F401
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__all__ = ["rank_and_select"]
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