[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DSJS1R3SACHG2XB4NRCWH8":3,"skill-same:01M6DSJS1R3SACHG2XB4NRCWH8":61},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":22,"linkOnly":23,"markdownContent":24,"markdownBody":25,"frontMatter":26,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":14,"repositoryHtmlUrl":30,"repositoryHomepageUrl":6,"ownerHtmlUrl":31,"ownerBlogUrl":32,"ownerDescription":33,"updatedAt":34,"install":35,"resources":48},"01M6DSJS1R3SACHG2XB4NRCWH8","hyperparameter_tuner",null,"Optimize model hyperparameters","sadjad6\u002Fopen-autonomous-research-lab","sadjad6","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F32264973?v=4","01M6DSBMD7SHZCAMZ6VMGWAYWR","Dr. Sadjad Sadeghi","01M6DSBMHRRQZCPP7T9YMR46VK",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsadjad6\u002Fopen-autonomous-research-lab\u002Fblob\u002Fmain\u002Fsrc\u002Fskills\u002Fmachine_learning\u002Fhyperparameter_tuner\u002FSKILL.md",[],[19,20,21],"hyperparameter tuner","model","optimize","2026-11-10 10:12:30",false,"---\nname: hyperparameter_tuner\ndescription: Optimize model hyperparameters\n---\n\n# Hyperparameter Tuner\n\n## Description\nOptimize model hyperparameters\n\n## When to Use\nAfter initial model training\n\n## Workflow\n1. Define search space\\n2. Choose strategy\\n3. Search\\n4. Validate\n\n## Tools Used\nsklearn\n\n## Examples\n```python\nfrom src.skills.machine_learning.hyperparameter_tuner import Skill\n\nskill = Skill()\nresult = await skill.run(SkillInput(data={\"key\": \"value\"}))\n```\n\n## Best Practices\nUse random search before grid search\n","# Hyperparameter Tuner\n\n## Description\nOptimize model hyperparameters\n\n## When to Use\nAfter initial model training\n\n## Workflow\n1. Define search space\\n2. Choose strategy\\n3. Search\\n4. Validate\n\n## Tools Used\nsklearn\n\n## Examples\n```python\nfrom src.skills.machine_learning.hyperparameter_tuner import Skill\n\nskill = Skill()\nresult = await skill.run(SkillInput(data={\"key\": \"value\"}))\n```\n\n## Best Practices\nUse random search before grid search\n",{"name":5,"description":7},"main","19d5aed8a5e48ff5443f425990d1df390d792bee","src\u002Fskills\u002Fmachine_learning\u002Fhyperparameter_tuner","https:\u002F\u002Fgithub.com\u002Fsadjad6\u002Fopen-autonomous-research-lab","https:\u002F\u002Fgithub.com\u002Fsadjad6","https:\u002F\u002Fsadeghi-ai.de\u002F","AI\u002FML Engineer | GenAI, RAG & Agentic AI | MLOps & ML Systems | PhD in Physics. 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