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avibryant's profile
Avi Bryant
Avi Bryant
Avi Bryant
@avibryant

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Avi Bryant

@avibryant

Happiest when working on Random Forests from random beaches.

Galiano Island
avibryant.com
Joined November 2006

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    Avi Bryant‏ @avibryant Aug 29

    A friend asked me for advice about choosing languages/environments for ML work in a particular tech co context. I'm posting my response here so that more people than just him can tell me why I'm wrong.pic.twitter.com/K1G6WUyRl8

    3:54 PM - 29 Aug 2018
    • 26 Retweets
    • 85 Likes
    • Jeff Sarnat Anders Ryan Herr Carlos Silva Oliver g Nick Schrock evil maid Amey
    7 replies 26 retweets 85 likes
      1. Erik Erlandson‏ @manyangled Aug 29
        Replying to @avibryant

        One other thing - when thinking about these 3 phases (ETL/features, training, deployment), resist the temptation to bikeshed modeling and expend resources on feature development & domain understanding.

        0 replies 1 retweet 4 likes
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      2. Erik Erlandson‏ @manyangled Aug 29
        Replying to @avibryant

        IMO Avi covered the most important points. For experiment and provenance tracking, consider pachyderm. For managing repeatable pipelines (DAGs), Airflow is worth looking at. Training may become more converged in Spark w/ project hydrogen, but that is speculative.

        1 reply 2 retweets 2 likes
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      2. Ryan Wang‏ @wgyn_ Aug 29
        Replying to @avibryant

        I’m obviously biased :) but that all seems like great advice. I’d also add model serialization / deserialization vs separate services as an extension to your point about scoring / operability.

        1 reply 0 retweets 3 likes
      3. 🆃🅸🅼  🏴‍☠️‏ @pims Aug 29
        Replying to @wgyn_ @avibryant

        I’d love to hear what you’re currently using for serializing/deserializing models right now?

        1 reply 0 retweets 1 like
      4. Ryan Wang‏ @wgyn_ Aug 30
        Replying to @pims @avibryant

        Stripe has a few things open sourced for tree models! See: https://github.com/stripe/bonsai  and https://github.com/stripe/brushfire …. I assume you weren’t asking about my current gig, but contrary to all advice we run an R service 😅

        1 reply 0 retweets 1 like
      5. 🆃🅸🅼  🏴‍☠️‏ @pims Aug 30
        Replying to @wgyn_ @avibryant

        Thanks! That’s very neat (Not the R service 🙊)

        0 replies 0 retweets 0 likes
      6. End of conversation
      1. Amey‏ @asc89 Aug 29
        Replying to @avibryant

        Fairly reasonable, however would also give a thought to model versioning and maintenance.

        0 replies 0 retweets 2 likes
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      2. Jonathan Esterhazy‏ @jesterhazy Aug 29
        Replying to @avibryant

        So you train in TF or something like it, then need to reimplement the model in a jvm language? That doesn’t sound fun.

        2 replies 0 retweets 0 likes
      3. Karl Higley‏ @karlhigley Aug 29
        Replying to @jesterhazy @avibryant

        Tensorflow does have a (small) Java API that’s workable for scoring.

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Peadar Coyle‏ @Springcoil Aug 30
        Replying to @avibryant

        I'd largely agree with your sentiments Avi. I also agree that these are major infrastructure projects, more than R and D type work.

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      1. Long Cao‏ @oacgnol Aug 29
        Replying to @avibryant

        sounds like a pretty reasonable take to me

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