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From "Davor Bonaci (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (BEAM-264) Matrix, Vector, Tensor Abstractions for Inputs, Outputs and Processing and Construction of Such Structures from Scalars, Other Structures and Queries
Date Sun, 08 May 2016 20:17:12 GMT

    [ https://issues.apache.org/jira/browse/BEAM-264?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15275707#comment-15275707
] 

Davor Bonaci commented on BEAM-264:
-----------------------------------

Can you develop your idea a little bit please?

I'd suggest working through a scenario, trying to express it in the Beam model, and then trying
to identify areas for improvement. The things you mention can be expressed in the Beam model
already. There are certainly areas for improvement, however. To be able to assess this JIRA
issue, we'll need more data as to what actually do you propose.

> Matrix, Vector, Tensor Abstractions for Inputs, Outputs and Processing and Construction
of Such Structures from Scalars, Other Structures and Queries
> -----------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: BEAM-264
>                 URL: https://issues.apache.org/jira/browse/BEAM-264
>             Project: Beam
>          Issue Type: Improvement
>          Components: beam-model
>            Reporter: Suminda Dharmasena
>            Assignee: Davor Bonaci
>
> Not all timeseries data is scalar values hence support other types of values like vectors,
matrices. Also ability to construct these constructs. E.g. if I want a time series vector
of asset prices as input to a pipeline. Also I will have to choose what stocks are in the
vector and also how to handle if the choosing is time varying.



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