[jira] [Resolved] (BEAM-1233) Implement TFRecordIO (Reading/writing Tensorflow Standard format)

["Younghee Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-1233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Younghee Kwon resolved BEAM-1233.
---------------------------------
       Resolution: Fixed
    Fix Version/s: Not applicable

The PR that adds TFRecordIO is pushed to python-sdk branch.

> Implement TFRecordIO (Reading/writing Tensorflow Standard format)
> -----------------------------------------------------------------
>
>                 Key: BEAM-1233
>                 URL: https://issues.apache.org/jira/browse/BEAM-1233
>             Project: Beam
>          Issue Type: New Feature
>          Components: sdk-py
>            Reporter: Younghee Kwon
>            Assignee: Ahmet Altay
>             Fix For: Not applicable
>
>
> Tensorflow is an open source Machine Learning project, which is getting lots of attention these days. Apache Beam can be used as a good preprocessing tool for this Machine Learning tool, however Tensorflow supports limited number of input file formats -- only csv and its own record format (so called TFRecord).
> On the other hand, Apache Beam doesn't support reading/writing in TFRecord format. This would be useful once it supports TFRecordIO natively.



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