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https://issues.apache.org/jira/browse/HAMA-632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13505682#comment-13505682
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Thomas Jungblut commented on HAMA-632:
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Exactly.
I feel pretty comfortable, but I haven't implemented any algorithm with it. I
have a decision tree builder with Hama on my TODO list with another student
from Greece, so I would like to test this out in the future.
So from my point of view, we can fix the testcases first, then commit and try
to implement a new algorithm on top of it before we release. For example the
neural net in HAMA-681 can be used for it.
Then we can easily see if new people possibly can work with the API well or if
we need to make some adjustments or additions.
> Rewrite the Examples and GraphJobRunner to the Superstep API
> ------------------------------------------------------------
>
> Key: HAMA-632
> URL: https://issues.apache.org/jira/browse/HAMA-632
> Project: Hama
> Issue Type: Sub-task
> Components: bsp core, graph
> Affects Versions: 0.6.0
> Reporter: Thomas Jungblut
> Priority: Blocker
> Fix For: 0.7.0
>
> Attachments: HAMA-632.patch-v1
>
>
> Translating the examples should be straightforward.
> Actually we should rewrite the Graphrunner from scratch. I hacked too much.
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