Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/18457
So we're only really doing bug fixes on the old MLlib stuff, but I guess we
haven't finalized the new ML streaming stuff so I'm not sure what we want to do
here. cc @MLnick .
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Github user holdenk commented on the issue:
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In the meantime Jenkins OK to test.
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Github user AmplabJenkins commented on the issue:
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Github user holdenk commented on the issue:
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err Jenkins test this please.
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Github user holdenk commented on the issue:
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Jenkins, test this plase.
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Github user SparkQA commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Github user SoulGuedria commented on the issue:
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Can one of the admins verify this patch? Thanks
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Github user SoulGuedria commented on the issue:
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cc @HyukjinKwon can you take a look at this please. Thanks :)
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/18457
No, we should not merge this. The _Model_ class should not let you set the
intercept. This doesn't exist in Scala either. The algorithm implementation
does though.
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Github user holdenk commented on the issue:
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Sounds like we're not going to change this @SoulGuedria but we'd love your
contributions in Spark ML where things are actively being developed.
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Github user HyukjinKwon commented on the issue:
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ping @SoulGuedria. Seems we should fix the python style.
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Github user SoulGuedria commented on the issue:
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Yes i will do it very soon :) Thanks
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Github user holdenk commented on the issue:
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So MLlib is even further into maintenance mode, do we want to take
improvement parity patches like these? cc @MLnick @jkbradley @HyukjinKwon ? I'm
leaning towards no and focusing on ML but it's a mi
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Github user holdenk commented on the issue:
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Would you be OK closing this PR @SoulGuedria
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