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--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
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--- Diff: python/pyspark/sql/group.py ---
@@ -82,6 +91,13 @@ def agg(self, *exprs):
>>> from pyspark.sql import functions as F
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -334,34 +339,51 @@ abstract class SparkStrategies extends
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -288,9 +289,13 @@ abstract class SparkStrategies extends
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4279,6 +4272,386 @@ def test_unsupported_types(self):
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--- Diff: python/pyspark/sql/udf.py ---
@@ -111,6 +111,10 @@ def returnType(self):
and not isinstance(self._returnType_placeholder,
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--- Diff: python/pyspark/sql/tests.py ---
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--- Diff: python/pyspark/sql/tests.py ---
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@@ -42,8 +43,10 @@ import
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--- Diff:
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@@ -42,8 +43,10 @@ import
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---
@@ -42,8 +43,10 @@ import
Github user guoxiaolongzte commented on the issue:
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OK, i understand your suggestion.
Can I set the startup time to a metric?
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--- Diff:
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@@ -150,6 +152,10 @@ case class
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@@ -42,8 +43,10 @@ import
Github user srowen commented on the issue:
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I don't think this number tells you the system is stable or not. If it did,
how is it actionable to users who don't have any access to investigate further?
Certainly, you should have proper
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2214,6 +2216,37 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
..
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--- Diff:
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@@ -751,6 +751,25 @@ class HiveDDLSuite
}
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--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -80,10 +80,27 @@ trait
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@HyukjinKwon, @gatorsmile could you please help find someone to review this?
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--- Diff: docs/ml-features.md ---
@@ -775,7 +775,9 @@ for more details on the API.
-## OneHotEncoder
+## OneHotEncoder (Deprecated
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@@ -0,0 +1,67 @@
+/*
+ * Licensed to the
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-## OneHotEncoder
+## OneHotEncoder (Deprecated
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--- Diff: docs/ml-features.md ---
@@ -807,6 +809,36 @@ for more details on the API.
+## OneHotEncoderEstimator
+
+[One-hot
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-## OneHotEncoder
+## OneHotEncoder (Deprecated
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I've rebased on master, I think that should resolve the the issues @viirya
raised.
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--- Diff:
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@@ -144,6 +145,7 @@ object EvaluatePython {
}
Github user jerryshao commented on the issue:
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The code here should be fine for normal case. The problem is that there're
so many spill files, which requires to maintain lots of handler's buffer. A
lazy buffer allocation could solve this
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--- Diff: python/pyspark/sql/group.py ---
@@ -233,6 +233,27 @@ def apply(self, udf):
| 2| 1.1094003924504583|
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thanks, merging to master/2.3
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retest this please
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retest this please
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