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What changes were proposed in this pull request?

If any labels of 0.0 (which are invalid) are supplied, AFTSurvivalRegression gives an error straight away rather than hard-to-interpret warnings and zero-valued coefficients in the output.

How was this patch tested?

Verified against current test suite. (One test needed to be updated as it was providing values of zero for labels so was failing after this patch)

Please review http://spark.apache.org/contributing.html before opening a pull request.

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This is still causing a style check failure @admackin

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This is being copied in from MLUtils? why is it necessary?

@admackin
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Yes, the version in MLUtils had labels of zero in the test cases, so was causing test cases to fail after my patch. It didn't look like there was a way to fix this, so I thought it better to make a patch that didn't affect potentially dozens of other packages. Any other thoughts on how to achieve this? I could add a 'minLabel' param to the MLUtils methods but that seems overly specific for this one package.

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srowen commented Jan 21, 2017

I imagine there's a better way to do this without copying code. Do you mean the common test code assumes 0 labels are permitted? then maybe it should just not do that, because it's just using any old value to test.

If it doesn't actually assume 0 labels are permitted, then its logic should still work. It's just that this test would need some additional logic to verify that 0 labels cause an exception.

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admackin commented Jan 21, 2017 via email

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srowen commented Jan 22, 2017

It looks like there is no particular reason that ("0", Vectors.dense(0, 2, 3), 0.0) really needs to set a 0 value as the label. You could make it 1 and see that it still passes all tests.

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SparkQA commented Jan 22, 2017

Test build #3544 has finished for PR 16652 at commit b07c281.

  • This patch fails Scala style tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

@admackin
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I've addressed all the problems I think – code style now fixed, MLTestingUtils patched (and verified all MLLib test cases still pass), and added a test case for zero-valued labels

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srowen commented Jan 24, 2017

This is looking OK to me, but it needs a (squash, optionally, and) rebase now before it can test again.

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SparkQA commented Jan 26, 2017

Test build #3551 has finished for PR 16652 at commit cfdd286.

  • This patch fails Scala style tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

(0.000, 0.0, Vectors.dense(0.346, 2.158)), // ← generates error; zero labels invalid
(4.199, 0.0, Vectors.dense(0.795, -0.226)))).toDF("label", "censor", "features")
val aft = new AFTSurvivalRegression()
intercept[SparkException] {
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it's recommended to verify the error message using withClue, eg:
withClue("label of AFTPoint must be positive") {
intercept[SparkException] {
aft.fit(dataset)
}
}

@imatiach-msft
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looks good to me too. I just added a small suggestion. Thanks!

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SparkQA commented Feb 2, 2017

Test build #3552 has finished for PR 16652 at commit c855976.

  • This patch fails PySpark unit tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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SparkQA commented Feb 4, 2017

Test build #3554 has finished for PR 16652 at commit c855976.

  • This patch fails PySpark unit tests.
  • This patch does not merge cleanly.
  • This patch adds no public classes.

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srowen commented Feb 7, 2017

The core change is looking OK @admackin but seems like it fails Python tests? if you have a moment to look at that, could be all that's needed to get this over the line.

@HyukjinKwon
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gentle ping @admackin

@asfgit asfgit closed this in 5d2750a May 18, 2017
zifeif2 pushed a commit to zifeif2/spark that referenced this pull request Nov 22, 2025
## What changes were proposed in this pull request?

This PR proposes to close PRs ...

  - inactive to the review comments more than a month
  - WIP and inactive more than a month
  - with Jenkins build failure but inactive more than a month
  - suggested to be closed and no comment against that
  - obviously looking inappropriate (e.g., Branch 0.5)

To make sure, I left a comment for each PR about a week ago and I could not have a response back from the author in these PRs below:

Closes apache#11129
Closes apache#12085
Closes apache#12162
Closes apache#12419
Closes apache#12420
Closes apache#12491
Closes apache#13762
Closes apache#13837
Closes apache#13851
Closes apache#13881
Closes apache#13891
Closes apache#13959
Closes apache#14091
Closes apache#14481
Closes apache#14547
Closes apache#14557
Closes apache#14686
Closes apache#15594
Closes apache#15652
Closes apache#15850
Closes apache#15914
Closes apache#15918
Closes apache#16285
Closes apache#16389
Closes apache#16652
Closes apache#16743
Closes apache#16893
Closes apache#16975
Closes apache#17001
Closes apache#17088
Closes apache#17119
Closes apache#17272
Closes apache#17971

Added:
Closes apache#17778
Closes apache#17303
Closes apache#17872

## How was this patch tested?

N/A

Author: hyukjinkwon <[email protected]>

Closes apache#18017 from HyukjinKwon/close-inactive-prs.
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5 participants