[{"data":1,"prerenderedAt":57},["ShallowReactive",2],{"maker-nidhaloff":3},[4,35],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":21,"domain":22,"tier":23,"attempts":24,"strip":25,"url":26,"mix":27,"praise":32,"objection":33,"sub":34},24671525,"Igel","A CLI tool to run machine learning without writing code",false,"ai",2020,405,102,"debated",0.2,3,[17,18,19,20],"machine learning cli","yaml ml pipeline","no-code machine learning","scikit-learn wrapper","nidhaloff","github.com","legend",0,"5535051555103005550513031311130000534313","https:\u002F\u002Fgithub.com\u002Fnidhaloff\u002Figel",[28,29,30,31],21,11,1,12,"Makes ML accessible to non-experts and is a useful abstraction","Automation of algorithm selection undermines experimental design","ml cli tool",{"id":36,"name":37,"line":38,"ai":8,"cat":9,"year":39,"points":40,"comments":31,"rec":13,"s":41,"top":42,"kw":43,"maker":21,"domain":22,"tier":49,"attempts":24,"strip":50,"url":51,"mix":52,"praise":54,"objection":55,"sub":56},27603212,"igel","Machine learning automation from creating to using models in production",2021,72,0.07,27,[44,45,46,47,48],"machine learning","no-code ml","model deployment","sklearn","model serving","notable","550300110000","https:\u002F\u002Fgithub.com\u002Fnidhaloff\u002Figel\u002Ftree\u002Fv0.4.0",[53,24,30,53],2,"Cool, useful project","Not suitable for production: no debugging, logging or performance metrics","machine learning automation",1793991254533]