2018-12-11T08:31:00Z

What needs improvement with H2O.ai?


Please share with the community what you think needs improvement with H2O.ai.

What are its weaknesses? What would you like to see changed in a future version?

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55 Answers

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Top 5Real User

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.

2019-12-26T09:22:00Z
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Top 20Real User

Feature engineering.

2019-02-07T15:24:00Z
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Real User

I would like to see more features related to deployment.

2018-12-11T08:31:00Z
author avatar
Real User

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.

2018-12-11T08:31:00Z
author avatar
Top 20Real User

The model management features could be improved.

2018-12-11T08:31:00Z
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