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Add more binary classification metrics to BinaryClassificationMetrics
## What changes were proposed in this pull request?
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## How
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[SPARK-18844.zip](https://github.com/apache/spark/files/1708136/SPARK-18844.zip)
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[SPARK-23271][DOC] Document the empty dataframe write semantics
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Document the change in semantics while writing/saving empty dataframes in
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Add more binary classification metrics to BinaryClassificationMetrics
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## How was
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SPARK-18844[MLLIB] Add more binary classification metrics to
BinaryClassificationMetrics
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(Please fill in changes proposed in this
Github user srowen commented on the issue:
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I'm not sure there was support to make this change. The value of these
additional metrics is pretty marginal.
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@vanzin In the org.apache.spark.repl.SingletonReplSuite there is a test
named "should clone and clean line object in ClosureCleaner" which uses
getExecutorStorageStatus to calculate memory
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@InterfaceStability.Evolving
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@gatorsmile Thanks. I will create a doc pr and address it.
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[MINOR][HIVE] Typo fixes
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Typo fixes (with expanding a Hive property)
## How was this patch tested?
local build.
Github user srowen commented on the issue:
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That's fine. As usual please have a look for more if you can.
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cc @gatorsmile Hi Sean, please let me your thoughts.
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-manager()
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the same results as when A
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--- Diff: python/pyspark/ml/tests.py ---
@@ -1620,6 +1621,23 @@ def test_kmeans_summary(self):
self.assertEqual(s.k, 2)
+class
Github user BryanCutler commented on the issue:
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Thanks @mgaido91 , #18982 had been sitting for so long, I forgot it was
really the same issue as here! As for the defaults, I think the assumption that
python and scala have the same value is
Github user icexelloss commented on the issue:
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I think this PR is ready. I encountered another issue with the non-Arrow
path and filed SPARK-23360. However, that seems to be a different bug than the
one here.
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information on Spark config
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Alternatively, you can also install
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/20167#discussion_r167061652
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -106,6 +99,40 @@ trait
Github user mgaido91 commented on the issue:
https://github.com/apache/spark/pull/20410
@BryanCutler yes, I see it only now sorry. I am fine either with your
change and this one. Personally, I think that it is not a good idea to transfer
defaults, because it means we might have
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