[GitHub] spark issue #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/18896 @jkbradley OK. (Can this directly merged to 2.2 ?) --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/18896 @WeichenXu123 would you mind sending a backport PR for 2.2? --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/18896 Merging with master and branch-2.2 Thanks @WeichenXu123 @MLnick @sethah ! --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user jkbradley commented on the issue: https://github.com/apache/spark/pull/18896 Thanks @WeichenXu123 and @sethah ! @WeichenXu123 I'd leave the MLOR test since it's cheap and has a clear purpose, even if it overlaps a little. LGTM @sethah any more comments before I merge it? --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
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[GitHub] spark issue #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
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[GitHub] spark issue #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user sethah commented on the issue: https://github.com/apache/spark/pull/18896 Thanks for catching this @WeichenXu123! I just added a note about the intent of test. --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
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[GitHub] spark issue #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/18896 @jkkbradley OK. So I can remove the test I added ? --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/18896
How about updating the LogisticAggregatorSuite so it catches this error:
```
diff --git
a/mllib/src/test/scala/org/apache/spark/ml/optim/aggregator/LogisticAggregatorSuite.scala
b/mllib/src/test/scala/org/apache/spark/ml/optim/aggregator/LogisticAggregatorSuite.scala
index 2b29c67..a2924ad 100644
---
a/mllib/src/test/scala/org/apache/spark/ml/optim/aggregator/LogisticAggregatorSuite.scala
+++
b/mllib/src/test/scala/org/apache/spark/ml/optim/aggregator/LogisticAggregatorSuite.scala
@@ -239,7 +239,14 @@ class LogisticAggregatorSuite extends SparkFunSuite
with MLlibTestSparkContext {
Vectors.dense(coefArray ++ interceptArray), fitIntercept = true,
isMultinomial = true)
instances.foreach(aggConstantFeature.add)
// constant features should not affect gradient
-assert(aggConstantFeature.gradient(0) === 0.0)
+def validateGradient(grad: Vector): Unit = {
+ assert(grad(0) === 0.0)
+ grad.toArray.foreach { gradientValue =>
+assert(!gradientValue.isNaN &&
+ gradientValue > Double.NegativeInfinity && gradientValue <
Double.PositiveInfinity)
+ }
+}
+validateGradient(aggConstantFeature.gradient)
val binaryCoefArray = Array(1.0, 2.0)
val intercept = 1.0
@@ -248,6 +255,6 @@ class LogisticAggregatorSuite extends SparkFunSuite
with MLlibTestSparkContext {
isMultinomial = false)
instances.foreach(aggConstantFeatureBinary.add)
// constant features should not affect gradient
-assert(aggConstantFeatureBinary.gradient(0) === 0.0)
+validateGradient(aggConstantFeatureBinary.gradient)
}
}
```
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[GitHub] spark issue #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/18896 @MLnick I debug the testcase your mentioned. The reason is, the zero var cause the computation generate `Infinite` and `NaN` so the result is unexpectable, in this case, it happened to generate 0.0 at gradient(0), so it escape the testcase. --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/18896 @MLnick Yes it is always trained in scaled space. But the testcase you mentioned do not take the "scale" step, so do not trigger the bug... --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user MLnick commented on the issue: https://github.com/apache/spark/pull/18896 The model is always trained in the scaled space regardless of the `standardization` param. e.g. in the test case doing: ```scala val model = mlr.fit(multinomialDatasetWithZeroVar) println(model.interceptVector) println(model.coefficientMatrix) val model2 = mlr.setStandardization(false).fit(multinomialDatasetWithZeroVar) println(model2.interceptVector) println(model2.coefficientMatrix) ``` Gives you ``` [0.2659042827402973,0.5361544814545004,-0.8020587641947977] 0.188182632583828640.0 -0.024143986869901088 0.0 -0.16403864571392754 0.0 [0.2659042827402915,0.5361544814544981,-0.8020587641947895] 0.188182632583829640.0 -0.024143986869900692 0.0 -0.16403864571392893 0.0 ``` --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user WeichenXu123 commented on the issue: https://github.com/apache/spark/pull/18896 @MLnick That's because, this bug will be triggered only when we standardize feature first then do training... --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user MLnick commented on the issue: https://github.com/apache/spark/pull/18896 Fix seems ok - but just wondering why the test for zero std dev in `LogisticAggregatorSuite` didn't pick this up? cc @sethah https://github.com/apache/spark/blob/cf29828d720611f7633a8114917bac901f76dece/mllib/src/test/scala/org/apache/spark/ml/optim/aggregator/LogisticAggregatorSuite.scala#L232 --- 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 #18896: [SPARK-21681][ML] fix bug of MLOR do not work correctly ...
Github user MLnick commented on the issue: https://github.com/apache/spark/pull/18896 cc @sethah --- 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 jkbradley commented on the issue: https://github.com/apache/spark/pull/18896 LGTM except for making the test's title more descriptive. 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 MrBago commented on the issue: https://github.com/apache/spark/pull/18896 @jkbradley please take a look when you get a chance. --- 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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