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I've not worked in the logging stuff yet, feel free to take it, thanks!
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thanks, merging to master/2.3!
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Thanks! merging to master/2.3.
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--- Diff: python/pyspark/ml/image.py ---
@@ -75,6 +76,23 @@ def ocvTypes(self):
self._ocvTypes =
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[SPARK-23256][ML][PYTHON] Add columnSchema method to PySpark image reader
## What changes were proposed in this pull request?
This PR proposes to add `columnSchema` in Python side too.
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@MrBago, @BryanCutler, @imatiach-msft, and @MLnick, could you take a look
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cc @gatorsmile @rdblue most of the changes are tests.
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> My proposal is, pandas and pyarrow should be a hard requirement for our
jenkins, to make sure the features are well tested.
If this is a goal, I think another simple way is just to
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@cloud-fan, will try it. Thank you sincerely.
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--- Diff: docs/ml-statistics.md ---
@@ -89,4 +89,26 @@ Refer to the [`ChiSquareTest` Python
docs](api/python/index.html#pyspark.ml.stat
{%
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--- Diff: docs/ml-statistics.md ---
@@ -89,4 +89,26 @@ Refer to the [`ChiSquareTest` Python
docs](api/python/index.html#pyspark.ml.stat
{%
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cc @squito @ajbozarth
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--- Diff: python/run-tests.py ---
@@ -151,6 +151,38 @@ def parse_opts():
return opts
+def _check_dependencies(python_exec,
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Current Jenkins output was:
```
Running PySpark tests
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}
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test("ALS cold start
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retest this please
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adding a default method to a java interface is binary compatible, I'm
merging this to master only, to follow @rxin 's suggestion, thanks!
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Thanks! merging to master/2.3.
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Can we specialize this CTAS case? For data changing commands like INSERT, I
think we should remove the stats if auto update is disabled, because the
previous stats are inaccurate after the insertion.
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[SPARK-23235][Core] Add executor Threaddump to api
## What changes were proposed in this pull request?
Extending api with the executor thread dump data.
For this new REST URL
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--- Diff:
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@@ -89,26 +96,39 @@ class
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[SPARK-23301][SQL] data source column pruning should work for arbitrary
expressions
## What changes were proposed in this pull request?
This PR fixes a mistake in the
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@@ -566,6 +565,7 @@ class ALSSuite
test("read/write") {
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LGTM
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Thank you for bearing with me @cloud-fan. I agree with it.
BTW, are you working on the logging thing BTW? I was thinking the simplest
way to check is just print out once if PyArrow /
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[SPARK-22751][ML]Improve ML RandomForest shuffle performance
## What changes were proposed in this pull request?
As I mentioned in
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@cloud-fan thanks a lot for ping. LGTM
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2168,7 +2168,17 @@ private[spark] object Utils extends Logging {
//
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Yup, explicitly logging sounds fine for now so that we can easily check.
> I do prefer to have these conditional skips removed because sometimes it
is hard to tell if everything passed
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That seems reasonably harmless; CC @vanzin
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17886
Merged build finished. Test PASSed.
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