AutoML

AI

automl

SHOW HN2023

41points
3comments
#1,203of 3,109 in 2023
Top 39%of 2023 by points

How HN took it

QuietFewer than 5 comments about the project

0 positive, 1 neutral or asking, 0 mixed, 0 critical, out of 1 comments about the project.

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

  • Includes support for preprocessing and model explanations

    From 1 comment
    • The real challenge with AutoML isn't just the pipeline creation, but ensuring that the models generalize well to unseen data and real-world scenarios. Your project here is neat…
      canvascritic on HN

Objections

  • Concern about overfitting, underfitting and debuggability of AutoML models

    From 1 comment
    • The real challenge with AutoML isn't just the pipeline creation, but ensuring that the models generalize well to unseen data and real-world scenarios. Your project here is neat…
      canvascritic on HN

Requests

  • Test performance on diverse datasets and resilience to drift

    From 1 comment
    • The real challenge with AutoML isn't just the pipeline creation, but ensuring that the models generalize well to unseen data and real-world scenarios. Your project here is neat…
      canvascritic on HN

Questions

  • How does the project avoid overfitting and underfitting pitfalls

    From 1 comment
    • The real challenge with AutoML isn't just the pipeline creation, but ensuring that the models generalize well to unseen data and real-world scenarios. Your project here is neat…
      canvascritic 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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