[jira] [Updated] (ARROW-5858) [Doc] Better document the Tensor classes in the prose documentation

["Antoine Pitrou (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-5858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou updated ARROW-5858:
----------------------------------
    Fix Version/s: 1.0.0

> [Doc] Better document the Tensor classes in the prose documentation
> -------------------------------------------------------------------
>
>                 Key: ARROW-5858
>                 URL: https://issues.apache.org/jira/browse/ARROW-5858
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++, Documentation, Python
>            Reporter: Joris Van den Bossche
>            Priority: Major
>             Fix For: 1.0.0
>
>
> From a comment from [~wesmckinn] in ARROW-2714:
> {quote}The Tensor classes are independent from the columnar data structures, though they reuse pieces of metadata, metadata serialization, memory management, and IPC.
> The purpose of adding these to the library was to have in-memory data structures for handling Tensor/ndarray data and metadata that "plug in" to the rest of the Arrow C++ system (Plasma store, IO subsystem, memory pools, buffers, etc.).
> Theoretically you could return a Tensor when creating a non-contiguous slice of an Array; in light of the above, I don't think that would be intuitive.
> When we started the project, our focus was creating an open standard for in-memory columnar data, a hitherto unsolved problem. The project's scope has expanded into peripheral problems in the same domain in the meantime (with the mantra of creating interoperable components, a use-what-you-need development platform for system developers). I think this aspect of the project could be better documented / advertised, since the project's initial focus on the columnar standard has given some the mistaken impression that we are not interested in any work outside of that.
> {quote}



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