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--- Diff: docs/ml-features.md ---
@@ -775,35 +775,43 @@ for more details on the API.
-## OneHotEncoder
+## OneHotEncoder
Github user MLnick commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
@@ -775,35 +775,43 @@ for more details on the API.
-## OneHotEncoder
+## OneHotEncoder
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--- Diff:
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@@ -35,41 +34,37 @@
import
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--- Diff: docs/ml-features.md ---
@@ -775,35 +775,43 @@ for more details on the API.
-## OneHotEncoder
+## OneHotEncoder
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--- Diff: examples/src/main/python/ml/onehot_encoder_estimator_example.py
---
@@ -18,32 +18,31 @@
from __future__ import print_function
#
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--- Diff: docs/ml-features.md ---
@@ -775,35 +775,43 @@ for more details on the API.
-## OneHotEncoder
+## OneHotEncoder
Github user MLnick commented on a diff in the pull request:
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--- Diff: docs/ml-features.md ---
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-## OneHotEncoder
+## OneHotEncoder
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package
Github user MLnick commented on the issue:
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So to be clear this doesn't handle the `read` path at all? Would there be a
plan to implement a similar read API?
Overall I like the idea of an open API for plugging in model serialization
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+/*
+ *
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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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Actually it was not merged, let me merge it to master/2.3
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Do we want to think about an `options` / `option` interface too? I'm not
that familiar with whether there could be important options for PMML export,
but custom user formats may need it (I could
Github user mgaido91 commented on the issue:
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nit: since we are creating a new test suite what about moving also
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[SPARK-14948][SQL] disambiguate attributes in join condition
## What changes were proposed in this pull request?
`Dataset.col/apply` returns a column reference, which is pretty useful to
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+/*
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
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--- Diff: python/pyspark/sql/functions.py ---
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functionType=None):
..
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Github user mgaido91 commented on the issue:
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@dongjoon-hyun the test case I referred to (the one related to SPARK-22146)
doesn't seem to use either of them to me. It is only about reading files with
special chars.
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retest this please
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@cloud-fan did you do some benchmarks? I'd like to make sure that the
abstract class to interface change does not negatively impact performance.
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Oh, I thought you mentioned the suite, @mgaido91 . Sorry! I agreee with you.
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@gatorsmile in the migration guide should I put this change in the section
Spark 2.2 -> Spark 2.3? Will this change be in Spark 2.3?
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Anyway, Jenkins seems to be out of order now.
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This basically just makes the Workers / Apps lists collapsible in the same
way as other blocks? that sounds fine.
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Retest this please
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@MLnick @WeichenXu123 Your comments are addressed. Please check this again.
Thanks.
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Github user guoxiaolongzte commented on a diff in the pull request:
https://github.com/apache/spark/pull/20259#discussion_r161959792
--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
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@@ -179,6 +181,7 @@ private[deploy] class Master(
}
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/20280
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