[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-06 Thread imatiach-msft
Github user imatiach-msft commented on the issue: https://github.com/apache/spark/pull/16441 Indeed re-adding the constructor seems to make the binary compatibility tests pass (see spark QA build above). I think in favor of making the binary compat tests pass, we can keep the extra

[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-06 Thread AmplabJenkins
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-06 Thread SparkQA
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-06 Thread SparkQA
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread imatiach-msft
Github user imatiach-msft commented on the issue: https://github.com/apache/spark/pull/16441 It looks like I am failing the binary compatibility tests despite this constructor being private: class GBTClassificationModel private[ml]( @Since("1.6.0") override val uid:

[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread SparkQA
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread SparkQA
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread imatiach-msft
Github user imatiach-msft commented on the issue: https://github.com/apache/spark/pull/16441 @sethah @jkbradley thank you for the review - could you please take another look since I've updated the code review based on your comments? --- If your project is set up for it, you can

[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread imatiach-msft
Github user imatiach-msft commented on the issue: https://github.com/apache/spark/pull/16441 @jkbradley I've updated based on your comments, please take another look, thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as

[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread SparkQA
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread imatiach-msft
Github user imatiach-msft commented on the issue: https://github.com/apache/spark/pull/16441 Thanks, I've updated the PR based on your comment. The only disadvantage to the current code is that I do the probability computation within the classifier, but it seems like it should be

[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2017-01-05 Thread SparkQA
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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

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[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2016-12-30 Thread jkbradley
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/16441 Thanks for the PR; I do want to get this fixed. However, I don't think this is the right way to make predictions of probabilities for GBTs. I believe it should depend on the loss used. E.g.,

[GitHub] spark issue #16441: [SPARK-14975][ML][WIP] Fixed GBTClassifier to predict pr...

2016-12-30 Thread SparkQA
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2016-12-30 Thread imatiach-msft
Github user imatiach-msft commented on the issue: https://github.com/apache/spark/pull/16441 Jenkins, retest this please --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled

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