[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-16 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-16 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-16 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-10 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-09 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-09 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-09 Thread jkbradley
Github user jkbradley commented on the issue:

https://github.com/apache/spark/pull/14547
  
CC: @hhbyyh Would you mind taking a look at this since you're familiar with 
GBTs?  Thanks in advance!  This should be one of the most important 
improvements in terms of accuracy, especially once we get soft predictions (for 
AUC measurements) from GBTs.


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread SparkQA
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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread vlad17
Github user vlad17 commented on the issue:

https://github.com/apache/spark/pull/14547
  
@sethah Thanks for the FYI. I'm pretty confident that it'll help since now 
we're directly optimizing the loss function. However, it would be nice to prove 
this. Unfortunately, the example I linked above uses a skewed dataset.

The only estimator whose behavior changed is GBTClassifier (now the 
bernoulli predictions use an NR step rather than guess the mean). And since the 
raw prediction column is unavailable for the GBTClassifier, I can't really 
compare the classifiers sensibly on skewed datasets since AUC is out of the 
question.

I'm going to have to spend some time trying to find a "real" dataset that's 
not skewed but large enough to be meaningful or just make an artificial one. 
And also spark-perf will need to be re-run.

Also, regarding the binary incompatibility failure - part of that was my 
fault, part of it was due to an incompatibility with a package-private method. 
I added an exception for the binary incompatibility for the package-private 
method - is that OK?


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread sethah
Github user sethah commented on the issue:

https://github.com/apache/spark/pull/14547
  
@vlad17 I do not get alerted when you comment on the squashed PR, as an 
FYI. I was using the databricks spark-perf package for performance testing. 

I'd be interested to see that TreeBoost algorithm provides "better" results 
than the non-TreeBoost version if that's possible. I think we need some 
provable improvement to show before we proceed with merging this patch. (It 
sounds like you are working on that currently). 

Thanks for the PR! I'll try to have a look sometime, but it may not be 
immediately.


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14547
  
**[Test build #63388 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63388/consoleFull)**
 for PR 14547 at commit 
[`06fc4a9`](https://github.com/apache/spark/commit/06fc4a917c92403c50eb7906f8d5bbef8662f427).
 * This patch **fails MiMa tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14547
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread vlad17
Github user vlad17 commented on the issue:

https://github.com/apache/spark/pull/14547
  
@hhbyyh Would you mind reviewing this?


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/14547
  
**[Test build #63388 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63388/consoleFull)**
 for PR 14547 at commit 
[`06fc4a9`](https://github.com/apache/spark/commit/06fc4a917c92403c50eb7906f8d5bbef8662f427).


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread jkbradley
Github user jkbradley commented on the issue:

https://github.com/apache/spark/pull/14547
  
ok to test


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[GitHub] spark issue #14547: [SPARK-16718][MLlib] gbm-style treeboost [WIP]

2016-08-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/14547
  
Can one of the admins verify this patch?


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