[{"data":1,"prerenderedAt":535},["ShallowReactive",2],{"project-24671525":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":43,"post_text":46,"what":47,"said":95,"maker_in_thread":229,"shape":239,"grid":243,"attempts":497,"same_week":498,"maker_shows":292,"maker_hidden":527,"reader_version":528,"card":529},"24671525","Igel","A CLI tool to run machine learning without writing code","title","Show HN: Igel – A CLI tool to run machine learning without writing code","https:\u002F\u002Fgithub.com\u002Fnidhaloff\u002Figel","github.com","nidhaloff",1601727828,2020,405,102,82,3028,3,"legend","ai","ml cli tool","cli",[24,25,26,27],"machine learning cli","yaml ml pipeline","no-code machine learning","scikit-learn wrapper","debated",0.203,{"positive":31,"neutral":32,"mixed":33,"critical":34},21,11,1,12,45,{"idea":37,"design":39,"execution":40,"docs":42},{"positive":32,"critical":38},9,{"positive":33,"critical":18},{"positive":41,"critical":41},0,{"positive":41,"critical":41},[44,44,18,44,41,44,33,44,44,44,33,41,18,41,41,44,44,44,41,44,33,18,41,18,33,18,33,33,33,18,41,41,41,41,44,18,45,18,33,18],5,4,null,{"problem":48,"audience":58,"pricing":46,"motivation":62,"time_to_build":66,"stack":72,"openness":92,"stage":93,"team_size":94},{"value":49,"source":50,"evidence":51},"Running ML experiments requires writing code; configs in YAML allow rerunning experiments quickly","maker",[52,55],{"id":53,"by":11,"text":54},"24672494","It's not about that someone will have difficulty using sklearn. It's more about how clean the approach is if you have all your configs in a yaml file and you can change things…",{"id":56,"by":11,"text":57},"24673147","Hi, I want to clear up some points. First, it is not intended for non technical folks, this was never claimed! However, even if it was, we are currently working on a gui, where…",{"value":59,"source":50,"evidence":60},"Developers and users wanting ML experiments without much code; maker says not only non-technical users",[61],{"id":56,"by":11,"text":57},{"value":63,"source":50,"evidence":64},"Make ML experiments cleaner and faster to rerun via config files",[65],{"id":53,"by":11,"text":54},{"value":67,"source":50,"evidence":68},"Started two weeks before the post",[69],{"id":70,"by":11,"text":71},"24673311","Hi thanks a lot. I received positive interactions on github from the community, however, your comment is the first encouraging feedback I ve got here :D so, I appreciate it. I…",[73,80,84,88],{"value":74,"source":75,"evidence":76},"Python","inferred",[77],{"id":78,"by":11,"text":79},"24677400","Hi, thanks for your feedback. hmm any machine learning project has to start with a dataset. Most of the time you will have to construct it (or take an existing one and update it)…",{"value":81,"source":50,"evidence":82},"scikit-learn",[83],{"id":78,"by":11,"text":79},{"value":85,"source":50,"evidence":86},"pandas",[87],{"id":78,"by":11,"text":79},{"value":89,"source":50,"evidence":90},"numpy",[91],{"id":78,"by":11,"text":79},"open_source","launched","unknown",{"praise":96,"objections":124,"requests":154,"questions":173,"alternatives":188},[97,113],{"value":98,"source":99,"evidence":100},"Makes ML accessible to non-experts and is a useful abstraction","commenter",[101,105,109],{"id":102,"by":103,"text":104},"24673072","howmayiannoyyou","Terrific! Keep pursuing this and ignore critics. What you're doing is important b\u002Fc ML is just out of reach of a big percentage of developers and technical lay people. It will…",{"id":106,"by":107,"text":108},"24673600","jkmcf","This is the giant's shoulders I like to stand on! Need to see more projects abstracting away the hard stuff (I'm looking at you, GUI libraries!)",{"id":110,"by":111,"text":112},"24673656","mjgs","Great idea - I’ve been waiting for a good cli tool for machine learning, saves the hassle to have to learn python and also can use with other existing shell tools.",{"value":114,"source":99,"evidence":115},"Useful for standardized ML tasks and sharing configs in teams",[116,120],{"id":117,"by":118,"text":119},"24672954","alphachloride","I think it can be a useful tool for automation of very standardized ML tasks. However: It's a command line tool that is also intended for non-technical folks. I sense a…",{"id":121,"by":122,"text":123},"24675728","tinyhouse","Nice work! This is def gonna be useful for a lot of people. Companies can benefit from using something like this too. It helps when all your people use the same tool to build and…",[125,135,146],{"value":126,"source":99,"evidence":127},"Automation of algorithm selection undermines experimental design",[128,132],{"id":129,"by":130,"text":131},"24672514","fractionalhare","Sure, but shotgunning every statistical test and machine learning algorithm completely undermines your results, because the power and significance levels are not adjusted for…",{"id":133,"by":130,"text":134},"24672577","No, it's emphatically not a great feature, and it's not clear to me the commenter was recommending that so much as making a nit. Please don't automate the process of choosing and…",{"value":136,"source":99,"evidence":137},"Adds little over writing scikit-learn directly",[138,142],{"id":139,"by":140,"text":141},"24671842","st1x7","\"Automate everything\" is a disingenuous claim. You're simply replacing a couple of lines of scikit-learn with a couple of lines of your CLI tool. There is pretty much no benefit…",{"id":143,"by":144,"text":145},"24671877","mk_chan","I find it difficult to believe anyone who can use the models listed on the repository effectively would have any difficulty using scikit themselves. Abstracting scikit out into a…",{"value":147,"source":99,"evidence":148},"Contradiction between CLI tool and non-technical audience",[149,150],{"id":117,"by":118,"text":119},{"id":151,"by":152,"text":153},"24672225","kamhh94","\"non-technical\" and \"cli tool\" sound like an oxymoron. But if you hide the yaml config behind a UI i guess it can pass for \"non technical\".",[155,162,169],{"value":156,"source":50,"evidence":157},"GUI for non-technical users",[158,159],{"id":56,"by":11,"text":57},{"id":160,"by":11,"text":161},"24672432","already working on a gui that users can launch using a command. You can check the issues list",{"value":163,"source":99,"evidence":164},"SQLite or database support",[165],{"id":166,"by":167,"text":168},"24673384","gavinray","Agreed here. I am not involved in the ML space but have briefly toyed with PyTorch\u002FTF\u002FSklearn. I see the value in having a CSV data dump and going \"I wonder what happens if I run…",{"value":170,"source":99,"evidence":171},"More real-world examples",[172],{"id":102,"by":103,"text":104},[174,181],{"value":175,"source":99,"evidence":176},"How does it compare to Ludwig",[177],{"id":178,"by":179,"text":180},"24673753","sthatipamala","Awesome! How do you compare this to https:\u002F\u002Fgithub.com\u002Fuber\u002Fludwig, which also has a YAML-based cli for ML?",{"value":182,"source":99,"evidence":183},"What does IGEL stand for",[184],{"id":185,"by":186,"text":187},"24673210","asimjalis","What does “IGEL” stand for? I couldn’t find it in the documentation.",[189,197,204,215,222],{"value":190,"source":99,"evidence":191},"Uber Ludwig",[192,196],{"id":193,"by":194,"text":195},"24674819","khimaros","In case it isn't on your radar, there is also https:\u002F\u002Fgithub.com\u002Fuber\u002Fludwig which seems to have similar goals.",{"id":178,"by":179,"text":180},{"value":198,"source":99,"evidence":199},"PyCaret",[200],{"id":201,"by":202,"text":203},"24672202","eyeball","https:\u002F\u002Fpycaret.org\u002F",{"value":205,"source":99,"evidence":206},"SKLL",[207,211],{"id":208,"by":209,"text":210},"24672293","jeroenjanssens","Reminds me of SKLL: https:\u002F\u002Fgithub.com\u002FEducationalTestingService\u002Fskll",{"id":212,"by":213,"text":214},"24675297","desilinguist","Great idea! We had a similar idea back in 2015 with SKLL[1]. We are still actively maintaining it and it’s definitely been helpful to many folks, including many outside our…",{"value":216,"source":99,"evidence":217},"Weka",[218],{"id":219,"by":220,"text":221},"24672257","djhaskin987","So a lot like weka then. https:\u002F\u002Fwww.cs.waikato.ac.nz\u002Fml\u002Fweka\u002F",{"value":223,"source":99,"evidence":224},"H2O AutoML",[225],{"id":226,"by":227,"text":228},"24674690","rabscuttler","I think you’re looking for something like AutoML by H2O[0]. There are few similar offerings out there if you search around ‘automl’. [0]…",{"comments":230,"answered":45,"key":231},24,[232,233,236],{"id":70,"text":71},{"id":234,"text":235},"24675057","Someone posted this tool earlier in the comments too. I was surprised since I never heard of it and find it great! However, I think it is only for building deep learning models…",{"id":237,"text":238},"24701831","Hi, can you please explain more, or you can open an issue and explain the expected functionality 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