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Posted to dev@dlab.apache.org by "Vira Vitanska (JIRA)" <ji...@apache.org> on 2018/12/20 09:09:00 UTC
[jira] [Resolved] (DLAB-244) [Software Versions upgrade]: Update
3-d party software to new stable versions
[ https://issues.apache.org/jira/browse/DLAB-244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vira Vitanska resolved DLAB-244.
--------------------------------
Resolution: Done
> [Software Versions upgrade]: Update 3-d party software to new stable versions
> -----------------------------------------------------------------------------
>
> Key: DLAB-244
> URL: https://issues.apache.org/jira/browse/DLAB-244
> Project: Apache DLab
> Issue Type: Improvement
> Reporter: Vira Vitanska
> Assignee: Oleksandr Isniuk
> Priority: Major
> Labels: DevOps
> Fix For: 2.1 release
>
>
> As a user I want to use stable and one of the latest tools versions.
>
> Please, review, investigate and update necessary versions:
> 1. *TensorFlow:* used TensorFlow v.1.4 / updated TensorFlow v.1.5
> 2. *Jupyter:* used Jupyter v.5.2.0 / updated Jupyter v.5.5.0
> 2.1. *Jupyter with TensorFlow* used Jupyter v.5.2.0, TensorFlow v.1.4
> 3. *RStudio:* used RStudio v.1.1.383 / updated RStudio v.1.1.423
> 3.1 *Rstudio with TensorFlow* used RStudio v. 1.1.383 and TensorFlow 1.8
> 4. *Zeppelin:* used Zeppelin v.0.7.3 / updated Zeppelin v.0.8.0
> 5. *EMR:* used EMR v.5.6.0 and EMR v.5.12.0 / updated EMR v.5.15.0
> 6. *Spark* used v.2.2.1 / updated v.2.3.1
> 7. *Scala:* used Scala v.2.11.8 / updated Scala v.2.12.16
> 8. *CNTK:* used CNTK v.2.1.0 / updated CNTK v.2.5.1
> 9. *Keras:* used Keras v. 2.0.8 / updated Keras v. 2.2.0
> 10. *Spark* used v. 2.2.1 / updated v. 2.3.0
> 11. *MXNET* used v.1.0.0 / updated v.1.2.0
> 12. *Theano* used v.0.9.0 / updated v.1.0.2
> 13. Update *ungit*
>
> You can use this documentation: *[https://docs.google.com/spreadsheets/d/1HqxiRI9IE8Emzyi0xxSrCkuzbEWRxS_OLqC_McCO6yk/edit#gid=0]*
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