H2O AutoML superb!!
September 18, 2019
H2O AutoML superb!!
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with H2O
We use H2O.ai for building End to End auto pipelines for machine learning models. It has massively good support with big data. For that we use H2O's Sparkling Water. As far as I have experienced, H2O gives the highest accuracy among all other autoML tools. I have used it in our one of the projects and I had to deliver in just 1 week. Building an ML model with H2O, as well as fast training and auto tuning, helped me a lot.
Pros
- AutoML
- Bigdata support with H2O's Sparkling Water
Cons
- more state of the art algorithm can be added
- Containerization facilities like Docker should be given
I have used Knime, RapidMiner, and Weka before I heard about H2O, but amongst all I really liked H2O. However, nowadays Googles AutoML and AWS SageMaker AutoML platform are really competitive, but more costly than H2O.
Do you think H2O.ai delivers good value for the price?
Yes
Are you happy with H2O.ai's feature set?
Yes
Did H2O.ai live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of H2O.ai go as expected?
Yes
Would you buy H2O.ai again?
Yes
Comments
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