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--- Diff: python/run-tests-with-coverage ---
@@ -0,0 +1,69 @@
+#!/usr/bin/env bash
+
+#
+# Licensed to the Apache Software Foundation (ASF)
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -319,9 +323,11 @@ object FPGrowthModel extends MLReadable[FPGrowthModel]
{
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retest this please
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---
@@ -144,6 +145,7 @@ object EvaluatePython {
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I see. Thanks for info! So, is it ready to go anyway @felixcheung?
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I'll update the PR tomorrow.
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Overall looks good to me. Just some minor comments regarding with code
comments and naming.
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merging to master/2.3. Thanks!
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LGTM now
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@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache
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Github user guoxiaolongzte commented on the issue:
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I agree with your second suggestion, before I did not understand what you
mean, now I passed the test I understand what you mean.
1.In order for collapsible tables to persist on
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Github user viirya commented on the issue:
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Btw, I think this isn't only to add non-integer image formats. So the PR
title may be changed too. Like "Add ImageSchema support for all OpenCV image
types"?
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GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/20275
[SPARK-23085][ML] API parity for mllib.linalg.Vectors.sparse
## What changes were proposed in this pull request?
`ML.Vectors#sparse(size: Int, elements: Seq[(Int, Double)])` support
Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/image.py ---
@@ -128,11 +183,17 @@ def toNDArray(self, image):
height = image.height
width =
Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/tests.py ---
@@ -1843,6 +1844,28 @@ def tearDown(self):
class ImageReaderTest(SparkSessionTestCase):
+
Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/tests.py ---
@@ -1843,6 +1844,28 @@ def tearDown(self):
class ImageReaderTest(SparkSessionTestCase):
+
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--- Diff: python/pyspark/ml/image.py ---
@@ -55,25 +72,66 @@ def imageSchema(self):
"""
if self._imageSchema is None:
-
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/image.py ---
@@ -55,25 +72,66 @@ def imageSchema(self):
"""
if self._imageSchema is None:
-
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
Github user viirya commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
Github user viirya commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
Github user viirya commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/image.py ---
@@ -55,25 +72,66 @@ def imageSchema(self):
"""
if self._imageSchema is None:
-
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--- Diff: python/pyspark/ml/image.py ---
@@ -55,25 +72,66 @@ def imageSchema(self):
"""
if self._imageSchema is None:
-
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--- Diff: python/pyspark/ml/image.py ---
@@ -55,25 +72,66 @@ def imageSchema(self):
"""
if self._imageSchema is None:
-
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/image/ImageSchemaSuite.scala ---
@@ -83,7 +83,8 @@ class ImageSchemaSuite extends SparkFunSuite with
Github user viirya commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
@Since("2.3.0")
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--- Diff: python/pyspark/ml/image.py ---
@@ -55,25 +72,66 @@ def imageSchema(self):
"""
if self._imageSchema is None:
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Thanks for your review! Shixiong
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Thanks! Merging to master and 2.3.
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retest this please
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Oh, I see! Yea, they look quite same.
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Is this similar to `Dataset.transform()` in Java/Scala API? But we don't
have similar APIs for RDDs.
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--- Diff:
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---
@@ -663,6 +665,95 @@ class FsHistoryProviderSuite extends
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--- Diff: R/pkg/tests/fulltests/test_mllib_classification.R ---
@@ -382,10 +382,10 @@ test_that("spark.mlp", {
trainidxs <- base::sample(nrow(data),
Github user icexelloss commented on a diff in the pull request:
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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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--- Diff: python/pyspark/sql/catalog.py ---
@@ -256,27 +258,58 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
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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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--- Diff: python/pyspark/sql/functions.py ---
@@ -2214,6 +2216,37 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
..
Github user squito commented on the issue:
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I see that `LiveListenerBus.droppedEventsCounter` and `lastReportTimestamp`
are unused, so it certainly makes sense to clean them up one way or the other
-- but that might mean we should delete
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--- Diff: python/pyspark/sql/catalog.py ---
@@ -256,27 +258,58 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
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Github user imatiach-msft commented on the issue:
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@MrBago @tomasatdatabricks the changes look good to me, I went through
everything one more time, I'll sign off as soon as the python tests are fixed
(it looks like there were some style
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala ---
@@ -136,10 +137,52 @@ object DecimalType extends AbstractDataType
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
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--- Diff: python/run-tests-with-coverage ---
@@ -0,0 +1,69 @@
+#!/usr/bin/env bash
+
+#
+# Licensed to the Apache Software Foundation (ASF)
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -37,20 +37,67 @@ import org.apache.spark.sql.types._
Github user imatiach-msft commented on the issue:
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@MrBago @tomasatdatabricks I think the breaking changes are fine, the code
was marked experimental and it is expected that the interfaces will change a
lot initially based on early feedback.
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Github user ozzieba commented on the issue:
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I'm getting stuck on
https://github.com/apache-spark-on-k8s/spark-integration/blob/master/integration-test/src/test/scala/org/apache/spark/deploy/k8s/integrationtest/KubernetesSuite.scala#L106,
Github user viirya commented on the issue:
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@MLnick Thanks for review. I think I've addressed all the comments. Please
take a look for the updates.
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@@ -243,17 +279,43 @@ object DecimalPrecision
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>>>
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Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/20171#discussion_r161654136
--- Diff: python/pyspark/sql/catalog.py ---
@@ -256,27 +258,58 @@ def registerFunction(self, name, f,
returnType=StringType()):
>>>
Github user asfgit closed the pull request at:
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Github user cloud-fan commented on the issue:
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LGTM
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/20266#discussion_r161653628
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala ---
@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache
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