[ https://issues.apache.org/jira/browse/ARROW-854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kouhei Sutou updated ARROW-854: ------------------------------- Summary: [C++] Support sparse tensor (was: [C++] Support sparse matrix) > [C++] Support sparse tensor > --------------------------- > > Key: ARROW-854 > URL: https://issues.apache.org/jira/browse/ARROW-854 > Project: Apache Arrow > Issue Type: New Feature > Components: C++, Format > Reporter: Kouhei Sutou > Priority: Minor > > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005)