[GitHub] spark issue #21081: [SPARK-23975][ML]Allow Clustering to take Arrays of Doub...

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2018-04-19 Thread jkbradley
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/21081 @WeichenXu123 A generic vector class would be interesting, but that would be a big project, way out of scope of this PR. You could bring it up if that person on the dev list sends a SPIP about

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2018-04-19 Thread WeichenXu123
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/21081 So why not design generic vector class ? and then implement Vector[Double] and Vector[Float] via generic specification ? So it can support everything, no matter sparse and dense. ---

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2018-04-18 Thread jkbradley
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/21081 I hope we can apply it to other algs too. @ludatabricks is doing some refactoring which should make that easier, but we're not going for a completely general approach right away. I

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2018-04-18 Thread WeichenXu123
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/21081 @jkbradley Will this be applied to other algos besides clustering algos ? and how to support sparse float features ? --- -

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