You are viewing a plain text version of this content. The canonical link for it is here.

Posted to commits@beam.apache.org by "Suminda Dharmasena (JIRA)" <ji...@apache.org> on 2016/05/06 07:38:12 UTC

[jira] [Updated] (BEAM-264) Matrix, Vector, Tensor Abstractions

     [ https://issues.apache.org/jira/browse/BEAM-264?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Suminda Dharmasena updated BEAM-264:
------------------------------------
    Description: 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.  (was: 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.)

> Matrix, Vector, Tensor Abstractions
> -----------------------------------
>
>                 Key: BEAM-264
>                 URL: https://issues.apache.org/jira/browse/BEAM-264
>             Project: Beam
>          Issue Type: Improvement
>            Reporter: Suminda Dharmasena
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)