[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
Github user MLnick commented on the issue: https://github.com/apache/spark/pull/14520 @WeichenXu123 would you mind updating the title of the JIRA and PR, as well as the description, to reflect the fact that this is not actually affecting serialization, but more to update the approach to be consistent with the other changes made in #14109? This is just for record-keeping to avoid any confusion in future. Thanks! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
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[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
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[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 @yanboliang Thanks for carefully review! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 @sethah I attach the test result and it looks good. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 cc @yanboliang Thanks! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 @sethah Thanks for your careful review! The PR here already passing the bcFeaturesStd and bcCoeffs as constructor args to the `LogisticAggregator`, like your PR #14109 You mean add another two member into `LogisticAggregator` like `@transient lazy val featureStd = bcFeatureStd.value` `@transient lazy val coeffs = bcCoeff.value` ? And explicitly destroy broadcast I will add it soon! Thanks. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
Github user sethah commented on the issue: https://github.com/apache/spark/pull/14520 The change here does not really affect serialization. Spark automatically broadcasts the coefficients each time calculate is called before, and marking it as a broadcast variable explicitly won't likely have much of a performance effect (based on my own testing and the description [here](http://spark.apache.org/docs/latest/programming-guide.html#broadcast-variables)). What we need to do here is to change the structure of the aggregator to match up with the fix for `LeastSquaresAggregator` by passing the `featuresStd` and `coefficients` as constructor args, but marking them as `@transient lazy val`. I'm in favor of explicitly broadcasting the coefficients too, as was done in `LeastSquaresAggregator`, but we should explicitly destroy them as well. Thanks for working on this! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 @MLnick The main improvement here is about `localFeaturesStd`, in previous code, each calling on `CostFun.calculate` will do a serialization and broadcast on vector. mark `localFeaturesStd` as spark broadcast var will avoid this problem. Thanks! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14520: [SPARK-16934][ML][MLLib] Improve LogisticCostFun to avoi...
Github user sethah commented on the issue: https://github.com/apache/spark/pull/14520 Well, I suppose this won't go into another PR since the other one got merged. I think it's correct to make this match the approach taken in Linear Regression. The current code doesn't quite match though, so could you take a look at https://github.com/apache/spark/pull/14109 and make this line up. Also, I'd like to see a comparison of MLlib and this patch to verify that the shuffle write size is the same for the tasks, to make sure we haven't undone anything. It's a good sanity check. --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user MLnick commented on the issue: https://github.com/apache/spark/pull/14520 @WeichenXu123 I believe #13729 already took care of the actual serialization issue. Out of interest have you tested this impl here for a difference in shuffle data read/write? However, #14109 and now #14519 do take a slightly different approach with BC vars and `transient`, so it is probably worthwhile to make them all consistent as per https://github.com/apache/spark/pull/14109#issuecomment-238157438. cc @sethah @yanboliang @dbtsai --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 Oh..its another algorithm and there are several different details so in order to make it clear I create a separated PR to discuss it , thanks! --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user srowen commented on the issue: https://github.com/apache/spark/pull/14520 Let's put this into https://github.com/apache/spark/pull/14109 --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/14520 cc @sethah @yanboliang --- 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 and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
