Sparkling Water

Sparkling Water is a tool that allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark, users can drive computation from Scala/R/Python and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers.

Languages supported: English

10.0/10 (Expert Score) ★★★★★
Product is rated as #9 in category Machine Learning Software
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Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. Spark is an elegant and powerful general-purpose, open-source, in-memory platform with tremendous momentum. H2O is an in-memory platform for machine learning that is reshaping how people apply math and predictive analytics to their business problems. Integrating these two open-source environments provides a seamless experience for users who want to make a query using Spark SQL, feed the results into H2O to build a model and make predictions, and then use the results again in Spark. For any given problem, better interoperability between tools provides a better experience.

Sparkling Water
Sparkling Water

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Customer Reviews

Sparkling Water Reviews

Amar C.

Advanced user of Sparkling Water
★★★★★
Amazing as a software package in R

What do you like best?

Automated library and minimum user effort required. The best part is the outstanding acuracy it provides in terms of the results. Also, plotting graphs is very easy. It handles the missing data well. Also takes care of the unballance in the data.

What do you dislike?

It is a black box, in spite the outstanding accuracy. There should be a better documentation of the algoritham running in the background.

Recommendations to others considering the product:

If you want to know the background workings of the algorithms, it does not tell you any. You should consider using another software.

What problems are you solving with the product? What benefits have you realized?

Predicting backorder propagation. The results are outstanding. The AUC by plotting the ROC curve was excellent.

Review source: G2.com

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