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Posted to commits@beam.apache.org by "Davor Bonaci (JIRA)" <ji...@apache.org> on 2016/06/20 23:05:58 UTC

[jira] [Commented] (BEAM-264) Matrix, Vector, Tensor Abstractions for Inputs, Outputs and Processing and Construction of Such Structures from Scalars, Other Structures and Queries

    [ https://issues.apache.org/jira/browse/BEAM-264?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15340624#comment-15340624 ] 

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

Closing / inactive.

> 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
>             Fix For: Not applicable
>
>
> 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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