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https://issues.apache.org/jira/browse/ARROW-854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney resolved ARROW-854.
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Resolution: Fixed
Issue resolved by pull request 2546
[https://github.com/apache/arrow/pull/2546]
> [Format] Support sparse tensor
> ------------------------------
>
> Key: ARROW-854
> URL: https://issues.apache.org/jira/browse/ARROW-854
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Format
> Reporter: Kouhei Sutou
> Assignee: Kenta Murata
> Priority: Minor
> Labels: pull-request-available
> Fix For: 0.12.0
>
> Time Spent: 9h 40m
> Remaining Estimate: 0h
>
> From
> http://mail-archives.apache.org/mod_mbox/arrow-dev/201704.mbox/%3CCAJPUwMBV5pkiXqY1-hsfP%3D2qgjQg-hMKZMwmQa3jKdDfxSS26A%40mail.gmail.com%3E
> bq. since we have metadata for tensors/ndarrays and support in C++, having
> analogous metadata for sparse matrices seems reasonable. Someone else asked
> me about this in person recently (related to machine learning applications).
> bq. While many Arrow implementations will be focused on the in-memory
> columnar / record batch data model, having these traditional scientific
> computing memory layouts available for shared memory IPC will open up the
> Arrow C/C++ libraries to more use cases. We wouldn't necessarily expect other
> Arrow implementations (like Java) to implement these, though, unless they
> needed them.
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