2018-12-11T08:31:00Z

What needs improvement with H2O.ai?

Miriam Tover - PeerSpot reviewer
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5 Answers

AS
Real User
Leaderboard
2019-12-26T09:22:00Z
Dec 26, 2019

On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time. It becomes a problem. I would like to see better integration with Python and data science capabilities.

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DR
Real User
Leaderboard
2019-02-07T15:24:00Z
Feb 7, 2019

Feature engineering.

MH
Real User
Leaderboard
2018-12-11T08:31:00Z
Dec 11, 2018

I would like to see more features related to deployment.

DC
Real User
Leaderboard
2018-12-11T08:31:00Z
Dec 11, 2018

The interpretability module has room for improvement. Also, it needs to improve its ability to integrate with other systems, like SageMaker, and the overall integration capability. I would like more support for scalability and deep learning. Right now, they are very strong in supervise and supervise learning, but not in deep learning. I'd like to see them be more well-rounded, where they have support for deep learning, but I'm not sure that is their business model.

RK
Real User
Leaderboard
2018-12-11T08:31:00Z
Dec 11, 2018

The model management features could be improved.

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