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Show HN: AutoML Python Package for Tabular Data with Automatic Documentation

67 点作者 pplonski86超过 2 年前

5 条评论

nlh超过 2 年前
Sometimes I just absolutely love hacker news more than words can explain.<p>I am knee deep in a personal project exploring machine learning on tabular data and it’s been consuming my off-hours brain for a while. And I pop open HN on a holiday Monday to find…a package for machine learning on tabular data :)<p>Curious if anyone has any other suggestions of frameworks or packages to explore. It seems that the state of the art in tabular data got a lot of activity in 2019 and 2020 and the industry’s focus moved on to image processing (DALL-E, Stable Diffusion) so I’m wondering whether there’s been much advancement.
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mark_l_watson超过 2 年前
This looks good. I mostly use deep learning for everything, while this project nicely automates non-deep learning ML.<p>When I managed a deep learning team at Capital One, my last technical project was automatic deep learning architecture search. I think that the fields of data engineering, data science, machine learning, and deep learning are all all ripe for massive automation, reducing the number of jobs in these fields. I think that there will be accelerated use of all of these fields, just much less manual work will be required.
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d3nigma超过 2 年前
There are many AutoML frameworks out there. For example, I recently found FLAML, which focuses on finding an optimal model given a budget.<p>In case, you wanna check it out: <a href="https:&#x2F;&#x2F;github.com&#x2F;microsoft&#x2F;FLAML" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;microsoft&#x2F;FLAML</a>
chrisgd超过 2 年前
This looks really great. I can imagine adding some features around the explanations from an educational standpoint. You could go from never having done this to understanding a lot more of the ins and outs of ML very quickly. Kudos
Tenoke超过 2 年前
Neat! I&#x27;ll test it tomorrow. My only &#x27;complaint&#x27; from reading the docs is that it only tests one NN model (which is the same for all types of data), rather than at least a few of the top architectures.