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[GitHub] [spark] viirya opened a new pull request #32735: [SPARK-35580][SQL] Implement canonicalized method for HigherOrderFunction

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viirya opened a new pull request #32735: URL: https://github.com/apache/spark/pull/32735 ### What changes were proposed in this pull request? This patch implements `canonicalized` method for `HigherOrderFunction`. Basically it canonicalizes the name of all

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[GitHub] [spark] otterc commented on a change in pull request #30691: [SPARK-32920][SHUFFLE] Finalization of Shuffle push/merge with Push based shuffle and preparation step for the reduce stage

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otterc commented on a change in pull request #30691: URL: https://github.com/apache/spark/pull/30691#discussion_r643429058 ## File path: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala ## @@ -1743,6 +1762,10 @@ private[spark] class DAGScheduler( }

[GitHub] [spark] srowen commented on a change in pull request #32734: [SPARK-35423][ML] PCA results should be consistent, If the Matrix contains both Sparse and Dense vectors

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srowen commented on a change in pull request #32734: URL: https://github.com/apache/spark/pull/32734#discussion_r643422274 ## File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala ## @@ -439,7 +439,8 @@ class RowMatrix @Since("1.0.0") (

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[GitHub] [spark] shahidki31 commented on a change in pull request #32734: [SPARK-35423][ML] PCA results should be consistent, If the Matrix contains both Sparse and Dense vectors

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shahidki31 commented on a change in pull request #32734: URL: https://github.com/apache/spark/pull/32734#discussion_r643412180 ## File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala ## @@ -439,7 +439,8 @@ class RowMatrix @Since("1.0.0") (

[GitHub] [spark] shahidki31 commented on a change in pull request #32734: [SPARK-35423][ML] PCA results should be consistent, If the Matrix contains both Sparse and Dense vectors

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shahidki31 commented on a change in pull request #32734: URL: https://github.com/apache/spark/pull/32734#discussion_r643412180 ## File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala ## @@ -439,7 +439,8 @@ class RowMatrix @Since("1.0.0") (

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srowen commented on a change in pull request #32734: URL: https://github.com/apache/spark/pull/32734#discussion_r643407060 ## File path: mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala ## @@ -439,7 +439,8 @@ class RowMatrix @Since("1.0.0") (

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[GitHub] [spark] shahidki31 opened a new pull request #32734: [SPARK-35423][ML] PCA results should be consistent, If the Matrix contains both Sparse and Dense vectors

2021-06-01 Thread GitBox
shahidki31 opened a new pull request #32734: URL: https://github.com/apache/spark/pull/32734 ### What changes were proposed in this pull request? If the dataset contains mix of sparse and dense vectors output of PCA seems different. The issue here is we check only the

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