Xcessiv

AI

automated machine learning

SHOW HN2017

108points
5comments
#420of 2,242 in 2017
Top 19%of 2017 by points

How HN took it

QuietFewer than 5 comments about the project

3 positive, 0 neutral or asking, 0 mixed, 0 critical, out of 3 comments about the project.

Idea: 2 for, 0 againstDocs: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Complete, user-friendly and clear examples

    From 2 comments
    • This looks really neat. But, I would put a summary of the link you have at the bottom of the README (See https://mlwave.com/kaggle-ensembling-guide/ ) so that people know what…
      zitterbewegung on HN
    • Only a few HN submissions each year are so complete that it is nearly impossible to gather comments to start a discussion. Well done! I wonder how close we are to running these…
      daddyo on HN
  • Integration with TPOT makes it more automatic

    From 1 comment
    • I like the integration with TPOT. This makes whole solution more automatic. Have you compare with https://github.com/kaz-Anova/StackNet ?
      pplonski86 on HN

Objections

  • README lacks explanation of stacked machine learning

    From 1 comment
    • This looks really neat. But, I would put a summary of the link you have at the bottom of the README (See https://mlwave.com/kaggle-ensembling-guide/ ) so that people know what…
      zitterbewegung on HN

Requests

  • Add a summary of stacked ensembling to the README

    From 1 comment

Questions

  • How practical are complex ensembles in production?

    From 1 comment
    • Only a few HN submissions each year are so complete that it is nearly impossible to gather comments to start a discussion. Well done! I wonder how close we are to running these…
      daddyo on HN

Alternatives named

  • StackNet

    From 1 comment
    • I like the integration with TPOT. This makes whole solution more automatic. Have you compare with https://github.com/kaz-Anova/StackNet ?
      pplonski86 on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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