{
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    "name": "hyperparameter-tuning",
    "description": "在计算预算内，使用网格搜索、随机搜索、贝叶斯优化和 Hyperband 来优化机器学习模型的超参数，以最大化模型性能。",
    "version": "1.0.0",
    "category": "数据与 AI",
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    "hot_score": 28,
    "author": null,
    "updated_at": "2026-10-20T04:05:35+00:00",
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    "download_url": "https://shrimp-assistant.com/misc/main.php?download=hyperparameter-tuning",
    "download_requires_login": true,
    "download_note": "下载需登录后的会话 Cookie：curl -b \"shrimp_sid=<你的会话ID>\" <download_url> -o hyperparameter-tuning.zip",
    "install": "curl -fLsS -b 'shrimp_sid=<你的会话ID>' https://shrimp-assistant.com/misc/main.php?download=hyperparameter-tuning -o hyperparameter-tuning.zip && unzip -o hyperparameter-tuning.zip",
    "page_url": "https://shrimp-assistant.com/skill.php?slug=hyperparameter-tuning"
}