[
https://issues.apache.org/jira/browse/BEAM-264?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15276069#comment-15276069
]
Suminda Dharmasena commented on BEAM-264:
-----------------------------------------
You can do all this now at an massive effort. If there is a Linear Algebra and
Vector Time Series are supported this would be of great value in areas like ML,
Modeling and Simulation, Statistical and Time Series Analysis, etc. This can
also be the basis upon there any ML functionality can be added in the future.
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
