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[SPARK-24103][ML][MLLIB] ML Evaluators should use weight column - added weight column for binary classification evaluator - #17084
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SparkQA
commented
Feb 27, 2017
Test build #73526 has finished for PR 17084 at commit
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imatiach-msft
commented
Feb 27, 2017
@sethah@Lewuathe@thunterdb@WeichenXu123@jkbradley@actuaryzhang@srowen would you be able to take a look? I've split the larger pull request into three parts as suggested. |
imatiach-msft
commented
Mar 16, 2017
ping @sethah@Lewuathe@thunterdb@WeichenXu123@jkbradley@actuaryzhang@srowen could you please take a look? thank you! |
actuaryzhang
commented
Mar 16, 2017
Thanks for the PR. I think this is helpful. Will take a look next week. Quite swamped recently. |
HyukjinKwon
commented
May 11, 2017
gentle ping @actuaryzhang |
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actuaryzhang
commented
May 13, 2017
@imatiach-msft Thanks for the PR. Added a couple of comments. Sorry for the delayed review. |
HyukjinKwon
commented
Jun 19, 2017
gentle ping @imatiach-msft . |
imatiach-msft
commented
Jun 26, 2017
yes, will update the PR, thanks for the ping |
98652cf to
cf59c62Compareimatiach-msft
commented
Jun 26, 2017
Jenkins, test this please |
SparkQA
commented
Jun 26, 2017
Test build #78597 has finished for PR 17084 at commit
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SparkQA
commented
Jun 26, 2017
Test build #78598 has finished for PR 17084 at commit
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imatiach-msft
commented
Jun 26, 2017
the pip packaging failing seems to be unrelated to the code... let me try this again |
imatiach-msft
commented
Jun 26, 2017
Jenkins, test this please |
SparkQA
commented
Jun 26, 2017
Test build #78606 has finished for PR 17084 at commit
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imatiach-msft
commented
Jun 27, 2017
gentle ping @actuaryzhang, thanks! |
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e89a030Compareimatiach-msft
commented
Apr 16, 2018
Jenkins, test this please |
SparkQA
commented
Apr 16, 2018
Test build #89405 has finished for PR 17084 at commit
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imatiach-msft
commented
Apr 16, 2018
gently ping @sethah@Lewuathe@thunterdb@WeichenXu123@jkbradley@actuaryzhang@srowen could you please take a look? I've merged with latest code. Thank you! |
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1d182a2CompareSparkQA
commented
Feb 5, 2019
Test build #102046 has finished for PR 17084 at commit
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e78076bCompareSparkQA
commented
Feb 11, 2019
Test build #102177 has finished for PR 17084 at commit
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holdenk
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I did a quick first pass review, thanks for working on this :)
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3c459bd to
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commented
Feb 19, 2019
Test build #102510 has finished for PR 17084 at commit
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imatiach-msft
commented
Feb 21, 2019
@holdenk@srowen@actuaryzhang would you be able to take another look at this PR when you have a chance? I've updated to latest, fixed all failing tests and I think I have fixed all of the comments. Thank you! |
srowen
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It's looking OK; does Pyspark need an update, and does the multiclass evaluator need an update to match?
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imatiach-msft
commented
Feb 22, 2019
srowen
commented
Feb 22, 2019
Ah right, long since lost track. Yeah it would make sense to update it here too. I don't think R has an evaluator? |
SparkQA
commented
Feb 22, 2019
Test build #102621 has finished for PR 17084 at commit
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SparkQA
commented
Feb 24, 2019
Test build #102720 has finished for PR 17084 at commit
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SparkQA
commented
Feb 25, 2019
Test build #102733 has finished for PR 17084 at commit
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commented
Feb 25, 2019
Test build #102734 has finished for PR 17084 at commit
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imatiach-msft
commented
Feb 25, 2019
@srowen I think I have fixed all pending comments and the tests are currently passing for this PR. I couldn't find any evaluators in the R code, but then again I am not as familiar with sparkR (however, I've used sparklyr before https://github.com/rstudio/sparklyr). Please let me know if there are any other comments that need to be addressed. Thank you! |
srowen
commented
Feb 25, 2019
Merged to master |
What changes were proposed in this pull request?
The evaluators BinaryClassificationEvaluator, RegressionEvaluator, and MulticlassClassificationEvaluator and the corresponding metrics classes BinaryClassificationMetrics, RegressionMetrics and MulticlassMetrics should use sample weight data.
I've closed the PR: #16557
as recommended in favor of creating three pull requests, one for each of the evaluators (binary/regression/multiclass) to make it easier to review/update.
How was this patch tested?
I added tests to the metrics and evaluators classes.