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Posted to dev@ignite.apache.org by "Alexey Platonov (JIRA)" <ji...@apache.org> on 2019/02/04 13:23:00 UTC
[jira] [Created] (IGNITE-11192) [ML] Use nd4j for matrix inversions
and determinants
Alexey Platonov created IGNITE-11192:
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Summary: [ML] Use nd4j for matrix inversions and determinants
Key: IGNITE-11192
URL: https://issues.apache.org/jira/browse/IGNITE-11192
Project: Ignite
Issue Type: Improvement
Components: ml
Reporter: Alexey Platonov
Assignee: Alexey Platonov
From optimization point of view we should use matrix inversions and determinant computations of dl4j instead of own realization.
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Re: [jira] [Created] (IGNITE-11192) [ML] Use nd4j for matrix
inversions and determinants
Posted by Alexey Zinoviev <za...@gmail.com>.
Could you please edit description and write in what tasks/algorithms we are
using matrix inversion /determinant computations (post link to our own
realization and its usages)
пн, 4 февр. 2019 г. в 16:23, Alexey Platonov (JIRA) <ji...@apache.org>:
> Alexey Platonov created IGNITE-11192:
> ----------------------------------------
>
> Summary: [ML] Use nd4j for matrix inversions and determinants
> Key: IGNITE-11192
> URL: https://issues.apache.org/jira/browse/IGNITE-11192
> Project: Ignite
> Issue Type: Improvement
> Components: ml
> Reporter: Alexey Platonov
> Assignee: Alexey Platonov
>
>
> From optimization point of view we should use matrix inversions and
> determinant computations of dl4j instead of own realization.
>
>
>
> --
> This message was sent by Atlassian JIRA
> (v7.6.3#76005)
>