[jira] [Updated] (IGNITE-1251) Develop a library of distributed data types for ML applications.

["Dmitriy Setrakyan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-1251?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dmitriy Setrakyan updated IGNITE-1251:
--------------------------------------
    Issue Type: New Feature  (was: Task)

> Develop a library of distributed data types for ML applications.
> ----------------------------------------------------------------
>
>                 Key: IGNITE-1251
>                 URL: https://issues.apache.org/jira/browse/IGNITE-1251
>             Project: Ignite
>          Issue Type: New Feature
>          Components: data structures
>            Reporter: Nikita Ivanov
>            Assignee: Nikita Ivanov
>
> Essentially, we want to make Ignite as friendly to ML application as possible. The first step here is to develop a set of basic (distributed) data structures that can be used in implementing ML algorithms. 
> We should borrow most of the ideas from the great Apache Spark project: https://spark.apache.org/docs/latest/mllib-data-types.html Our implementation should be based on Ignite data grid / compute grid capabilities (instead of Spark RDD concept).
> Implementation language should be Java (as well as making sure that these Java APIs can be used relatively pain-free from other JVM-based languages such as Scala and Groovy).



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