Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17586#discussion_r110982433
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala ---
@@ -287,6 +290,16 @@ class LinearSVCModel private[classification
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17586#discussion_r110981812
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala ---
@@ -355,6 +368,19 @@ object LinearSVCModel extends
MLReadable
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17586#discussion_r110978675
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala ---
@@ -287,6 +290,16 @@ class LinearSVCModel private[classification
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17586#discussion_r110980991
--- Diff:
examples/src/main/scala/org/apache/spark/examples/ml/LinearSVCExample.scala ---
@@ -44,6 +44,12 @@ object LinearSVCExample
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17586#discussion_r110981511
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala ---
@@ -355,6 +368,19 @@ object LinearSVCModel extends
MLReadable
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17461#discussion_r110827869
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/LDA.scala
---
@@ -315,6 +315,27 @@ class LDA private
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17583
No unit test is added for now as I'm not sure if this is something that
would interests the community.
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GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/17583
[SPARK-20271]Add FuncTransformer to simplify custom transformer creation
## What changes were proposed in this pull request?
Just to share some code I implemented to help easily create
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17336#discussion_r109745116
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -85,38 +85,58 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17336#discussion_r109741396
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -85,38 +85,58 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17336
The major thing I'm concerned is that `transform` will have to recompute
the association rules each time it's invoked. If that's not a problem,
changing association rules to method would be much
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17336
ping @jkbradley as this is something we should fix before release.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17478
Thanks for @wangmiao1981 for the PR and @sethah for the comments. Maybe I
should be more clear when I created the jira.
I would prefer to remove the require here permanently
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17324
The test was interrupted and need a retest.
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17130#discussion_r108600468
--- Diff: docs/ml-frequent-pattern-mining.md ---
@@ -0,0 +1,75 @@
+---
+layout: global
+title: Frequent Pattern Mining
+displayTitle
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17324#discussion_r108597395
--- Diff:
examples/src/main/java/org/apache/spark/examples/ml/JavaImputerExample.java ---
@@ -0,0 +1,72 @@
+/*
+ * Licensed to the Apache Software
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17130
Updated with Python example.
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17324#discussion_r108235749
--- Diff: examples/src/main/python/ml/imputer.py ---
@@ -0,0 +1,46 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17324#discussion_r108234190
--- Diff:
examples/src/main/java/org/apache/spark/examples/ml/JavaImputerExample.java ---
@@ -0,0 +1,72 @@
+/*
+ * Licensed to the Apache Software
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17407#discussion_r108094236
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/DecisionTreeClassifierSuite.scala
---
@@ -385,6 +385,22 @@ class
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17407#discussion_r108094126
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/DecisionTreeClassifierSuite.scala
---
@@ -385,6 +385,22 @@ class
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17407#discussion_r108094114
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/DecisionTreeRegressorSuite.scala
---
@@ -178,6 +178,22 @@ class DecisionTreeRegressorSuite
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17324
Updated with python example.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17218
@jkbradley Regarding the question, in most definition Association Rules are
defined between two ItemSets and ArrayType seems to be a more intuitive choice
for me. It just happens
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17361
@tdas Just FYI, I'm getting lint-java error:
yuhao@yuhao-devbox:~/workspace/github/hhbyyh/spark$ ./dev/lint-java
~Using `mvn` from path: /usr/bin/mvn
Checkstyle checks failed
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17014#discussion_r107515202
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/DecisionTreeClassifier.scala
---
@@ -110,12 +111,17 @@ class DecisionTreeClassifier
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17014
I'm trying to refresh my memory and clear the targets on the topic,
basically we want to achieve:
1. Avoid double caching. If Input Dataset is already cached, then we should
not cache
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17326#discussion_r106765091
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifierSuite.scala
---
@@ -74,6 +74,7 @@ class
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17014
Hi @zhengruifeng , is there any update?
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17336#discussion_r106721298
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -95,28 +125,17 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17336
ping @jkbradley and @srowen to be aware of the issue.
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GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/17336
[SPARK-20003] [ML] FPGrowthModel setMinConfidence should affect rules
generation and transform
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17130
Please hold on merging this until
https://github.com/apache/spark/pull/17321 is resolved.
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GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/17324
[SPARK-19969] [ML] Imputer doc and example
## What changes were proposed in this pull request?
Add docs and examples for spark.ml.feature.Imputer. Currently scala and
Java examples
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17316#discussion_r106488785
--- Diff: python/pyspark/ml/feature.py ---
@@ -871,6 +872,164 @@ def idf(self):
@inherit_doc
+class Imputer(JavaEstimator, HasInputCols
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17316#discussion_r106489373
--- Diff: python/pyspark/ml/feature.py ---
@@ -871,6 +872,164 @@ def idf(self):
@inherit_doc
+class Imputer(JavaEstimator, HasInputCols
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17316#discussion_r106490851
--- Diff: python/pyspark/ml/feature.py ---
@@ -871,6 +872,164 @@ def idf(self):
@inherit_doc
+class Imputer(JavaEstimator, HasInputCols
Github user hhbyyh closed the pull request at:
https://github.com/apache/spark/pull/11780
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/11780
Close this.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17130
Refined some comments and minor things. This should be ready for review.
Thanks.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17280
I'll first focus on https://github.com/apache/spark/pull/17130 and resolve
conflict here.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17130
Thanks for the review. I'll wait for
https://github.com/apache/spark/pull/17283 to be merged first.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/13656
Close this and add the support to ml.fpm.
https://github.com/apache/spark/pull/17280
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Github user hhbyyh closed the pull request at:
https://github.com/apache/spark/pull/13656
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17283#discussion_r105813634
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -103,6 +103,22 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17283#discussion_r105813424
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -103,6 +103,22 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17283#discussion_r105813550
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -103,6 +103,22 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17283#discussion_r105798334
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -103,6 +103,22 @@ class FPGrowthSuite extends SparkFunSuite
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17283#discussion_r105798138
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -103,6 +103,22 @@ class FPGrowthSuite extends SparkFunSuite
GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/17280
[SPARK-19939] [ML] Add support for association rules in ML
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-19939
Adding another
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17130#discussion_r105518166
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -56,8 +56,8 @@ private[fpm] trait FPGrowthParams extends Params
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/11601
Thanks @MLnick for being the Shepherd and providing consistent help on
discussion and review. The performance test matches what I got from my local
environment.
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104524697
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104516526
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104280679
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/ImputerSuite.scala ---
@@ -0,0 +1,136 @@
+/*
+ * Licensed to the Apache Software
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/11601
Hi @MLnick I changed the surrogateDF format for better extensibility in
the last update and added unit tests for multi-column support. Let me know if I
miss anything.
inputCol1|inputCol2
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104258573
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104258382
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104257956
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104257857
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r104257741
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,260 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/11601
Thanks a lot for making a pass @MLnick. The last update mainly focus on the
interface and behavior change. I'll make a pass and also address your comments.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17130
ping @jkbradley since we're changing the FPGrowth `transform`.
Sean made a great suggestion to simplify `transform` code.
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17130#discussion_r104039923
--- Diff:
examples/src/main/scala/org/apache/spark/examples/ml/FPGrowthExample.scala ---
@@ -0,0 +1,71 @@
+/*
+ * Licensed to the Apache Software
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17130#discussion_r104036137
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -56,8 +56,8 @@ private[fpm] trait FPGrowthParams extends Params
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17130#discussion_r104010510
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -240,12 +240,13 @@ class FPGrowthModel private[ml] (
val predictUDF
GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/17130
[SPARK-19791] [ML] Add doc and example for fpgrowth
## What changes were proposed in this pull request?
Add a new section for fpm
Add Example for FPGrowth in scala and Java
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
Sorry to miss your comments. I can send a follow-up together with document.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17090
the same as https://github.com/apache/spark/pull/12574 ?
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
> Btw, I could imagine us wanting to change this later. If we're
recommending items a user could add to their basket, then we might want to
suggest the most frequent item rather than noth
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
Thanks @jkbradley for contributing the code. That helps a lot.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
Hi @jkbradley After further performance comparison, I found using broadcast
would give much better performance for the transform.
I tested with some public data from http://fimi.ua.ac.be
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102860331
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,346 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102856168
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,346 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102855117
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,346 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
I tried a few different ways to implement the transform.
https://gist.github.com/hhbyyh/889b88ae2176d1263fdc9dd3e29d1c2d.
The performance actually are similiar, while the current one can
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102840184
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,346 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102840479
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,346 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102647844
--- Diff: mllib/src/test/scala/org/apache/spark/ml/fpm/FPGrowthSuite.scala
---
@@ -0,0 +1,130 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r102646065
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,341 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/11601
Looks like CI was interrupted.
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/73268/console
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/11601
Sent an update to add multi-column support. Let me know if this is not what
you have in mind.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
Hi @jkbradley
We can hold the transform code.
> wrap the old AssociationRules code
Do you mean to make transform return the Association Rules DataFrame, like
the curr
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17014
It's better if we can fix this without breaking API. Let's allow some time
to see if there's a better solution.
Meanwhile, if we have to add the new parameter, can we set some default
value
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17014#discussion_r102262826
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Predictor.scala ---
@@ -126,9 +129,10 @@ abstract class Predictor[
* and copying parameters
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/11601#discussion_r102141627
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Imputer.scala ---
@@ -0,0 +1,225 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/16020
Close this as it's better resolved in
https://issues.apache.org/jira/browse/SPARK-18608.
Thanks for the comments and discussion.
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Github user hhbyyh closed the pull request at:
https://github.com/apache/spark/pull/16020
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17000
Hi @ZunwenYou Do you know what's the reason that treeAggregate failed when
feature dimension reach 20 million?
I think this potentially can help with the 2G disk shuffle spill limit
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
@jkbradley Sent an update to refine the transform code and address the
comments.
Regarding to the behavior changing concern, I think different partition
strategy will only affect
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r101939121
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,327 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/16968
Thanks for the review. Updated to binary.
Also add the reference to R example.
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/16968#discussion_r101872717
--- Diff: docs/ml-classification-regression.md ---
@@ -363,6 +363,44 @@ Refer to the [R API docs](api/R/spark.mlp.html) for
more details
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/15415
Thanks @jkbradley . I'm also working on improving the `transform`
performance and add more unit tests. I'll address the comments in a combined
update.
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/16968
Thanks for the comment @felixcheung
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Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/16968#discussion_r101840357
--- Diff: docs/ml-classification-regression.md ---
@@ -363,6 +363,51 @@ Refer to the [R API docs](api/R/spark.mlp.html) for
more details
Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/16968#discussion_r101840341
--- Diff: docs/ml-classification-regression.md ---
@@ -363,6 +363,51 @@ Refer to the [R API docs](api/R/spark.mlp.html) for
more details
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/16968
I see. I will drop the R example here, whichever PR goes in later can
finish the document update.
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GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/16968
[SPARK-19337] [ML] [Dcoc] Documentation and examples for LinearSVC
## What changes were proposed in this pull request?
Documentation and examples (Java, scala, python, R) for LinearSVC
Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/16763
Hi @zhengruifeng https://issues.apache.org/jira/browse/SPARK-18608
There's some ongoing discussion about the issue.
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