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Posted to dev@ignite.apache.org by ArtemM <ar...@gmail.com> on 2017/11/20 13:48:28 UTC
Ignite ML dense distributed matrices
Hi all, currently we do not have dense distributed matices in ML module, but
I think we should add them. Obviously, not every big ML dataset has sparse
structure. Of course, we can put it into a sparse distributed matrix, but
this will have performance hits. Any ideas/objections about it?
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Re: Ignite ML dense distributed matrices
Posted by Yury Babak <y....@gmail.com>.
Alexey,
I dont think that mixing distributed/local is a good idea unlike
dense/sparse or blocks/rows/cols.
Regards,
Yury
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Re: Ignite ML dense distributed matrices
Posted by Alexey Zinoviev <za...@gmail.com>.
Yury, I support one matrix with different strategies if it will have one
API.
Also distributed/local can be a strategy too.
And yet, Artem, Yury, we could think about DenceBlockDistributedMatrix of
course.
Or about Matrix(boolean isDistributed, boolean isBlock, boolean isSparse)
and implement all 8 cases
2017-11-20 18:24 GMT+03:00 Yury Babak <y....@gmail.com>:
> Artem,
>
> I think It`s a good idea. We could implement dense matrix as separate
> matrix, but what do you think about common distributed matrix with multiple
> possible storage strategies?
>
> Regards,
> Yury
>
>
>
> --
> Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
>
Re: Ignite ML dense distributed matrices
Posted by Yury Babak <y....@gmail.com>.
Artem,
I think It`s a good idea. We could implement dense matrix as separate
matrix, but what do you think about common distributed matrix with multiple
possible storage strategies?
Regards,
Yury
--
Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/