Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16727
ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16776
cc @gatorsmile @HyukjinKwon @holdenk @MLnick
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
@MLnick I created
SPARK-19436[https://issues.apache.org/jira/browse/SPARK-19436] for it.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16776
[SPARK-14352][FOLLOWUP][SQL] add tests for approxQuantile &
## What changes were proposed in this pull request?
1, check the behavior with illegal `quantiles` and `relativeError`
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
@HyukjinKwon @gatorsmile Thanks for pointing out those issues. I will
create a followup PR to fix them ASAP.
---
If your project is set up for it, you can reply to this email and have your
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16763
@hhbyyh Thanks a lot for pointing this out!
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16763
Jenkins, retest it please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16763
[SPARK-19422][ML] Cache input data in algorithms
## What changes were proposed in this pull request?
cache the input data in `DecisionTreeClassifier`, `GBTClassifier
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
@holdenk Updated! Thanks for your careful checking.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16727
@holdenk I created another jira to track this issue. Thanks all for
revewing!
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16754
[SPARK-19410][DOC] Fix brokens links in ml-pipeline and ml-tuning
## What changes were proposed in this pull request?
Fix brokens links in ml-pipeline and ml-tuning
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16028
ping @yanboliang ?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16727
ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
ping @holdenk ?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16727
[SPARK-19336][FollowUp][ML][PySpark] Remove numClasses and numFeatures
methods in LinearSVC
## What changes were proposed in this pull request?
Methods `numClasses` and `numFeatures` in
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16718
@srowen I have use the regex to check other algs
`find mllib/src -name '*.scala' | xargs -i bash -c 'egrep
"handlePersistence" -n {} && echo {}'`
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16718
[SPARK-19384][ML] forget unpersist input dataset in IsotonicRegression
## What changes were proposed in this pull request?
unpersist the input dataset if `handlePersistence` = true
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/16699#discussion_r98170182
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
---
@@ -336,14 +361,15 @@ class
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/16699#discussion_r98169691
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
---
@@ -336,14 +361,15 @@ class
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/12135#discussion_r98167651
--- Diff: python/pyspark/sql/tests.py ---
@@ -835,11 +835,20 @@ def test_first_last_ignorenulls(self):
self.assertEqual([Row(a=None, b=1, c
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16699
you should not modify sharedParams directly.
"// DO NOT MODIFY THIS FILE! It was generated by SharedParamsCodeGen."
And if there is no other algorithms inheriting ha
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
@srowen I agree that metric should be irrelevant to details of the
algorithms. AUC is irrelevant to algorithms, it is just relevant to the
dataset: In spark-ml, scikit-learn, or any other
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16661
BTW, it maybe nice to add a `SymmetricMatrix` class, for symmetric matrice
are widely used in computation of covariance/concurrence/etc
---
If your project is set up for it, you can reply to
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/16661#discussion_r97700702
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala ---
@@ -272,6 +277,10 @@ class GaussianMixture private
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
yes spark-18285
https://issues.apache.org/jira/plugins/servlet/mobile#issue/SPARK-18285
---
If your project is set up for it, you can reply to this email and have your
reply appear on
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
Existing metrics (WSSSE,Loglikelihood) are relevant to detail of algorithm.
Computation of WSSSE for KMeans/BisectKMeans use the average vectors as the
centers, but for KMedoids the medoids
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16171
cc @yanboliang @sethah @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/16661#discussion_r97478414
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala ---
@@ -486,6 +491,9 @@ class GaussianMixture @Since("
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
@MLnick @jkbradley Could you mind making a final pass?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
@srowen The concept of `center` don't exist in DBSCAN.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
@srowen I think I had not clarify my thoughts. WSSSE and Loglikelihood are
algorithm-specific metrics.
For example:
WSSSE dont make sense for clustering algorithms like DBSCAN
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
Jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
re-ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
I think now clustering metrics are not that general, comparing with
classification/regression metrics:
WSSSE only apply to `KMeans` and `BiKMeans`
Loglikelihood only apply to `GMM
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16654
Jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r97021451
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,182 @@
+/*
+ * Licensed to the
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/16457
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16457
I think it better to discuss in the JIRA. When we come to an agreement, I
will reopen this pr.
---
If your project is set up for it, you can reply to this email and have your
reply appear on
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16654
[SPARK-19303][ML][WIP] Add evaluate method in clustering models
## What changes were proposed in this pull request?
1, add evaluation metric in summary
2, add an evaluate() method
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16571
In the jira, we decide to optimize MultivariateOnlineSummarizer first, so
this pr will be closed.
---
If your project is set up for it, you can reply to this email and have your
reply appear
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/16571
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12064
jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12064
jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
ping @MLnick
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12064
ping @yanboliang
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
re-ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15671
re-ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15324
@jkbradley What's your opinion about whether GNB should be a separated
Classifier or a modeltype in existing NB?
---
If your project is set up for it, you can reply to this email and
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15671
@jkbradley Updated. Thanks for reviewing!
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12064
@yanboliang Updated! Thanks for reviewing!
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16539
I think the mllib in the python side is also in maintenance mode, and we
should only fix bugs for it. @yanboliang am I right?
For this pr, I think it's reasonable to wait for the porti
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12064
ping @yanboliang
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15831
@techaddict @sethah I have some time to work on the porting, but I dont
find the umbrella JIRA
---
If your project is set up for it, you can reply to this email and have your
reply appear on
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12064
Jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15831
the same TODO also appear in `HashingTF`, what about include it in this PR?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/16471
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16471
@sethah Yes. I will close the duplicated PR and JIRA, and help to reivewing
that PR.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16471
@imatiach-msft Thanks for your suggestion and reviewing. I start this PR
because I found that in source same `// TODO: Make the transformer natively in
ml framework to avoid extra conversion
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15671
ping @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15211#discussion_r94723792
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LinearSVC.scala ---
@@ -0,0 +1,554 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94718428
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94717710
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94717542
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94717473
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94717245
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94717055
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/FPGrowth.scala ---
@@ -0,0 +1,232 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94716584
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/fpm/AssociationRules.scala ---
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94716372
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/fpm/AssociationRules.scala ---
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94716281
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/fpm/AssociationRules.scala ---
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94716047
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/fpm/AssociationRules.scala ---
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94715820
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/fpm/AssociationRules.scala ---
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15415#discussion_r94715503
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/fpm/AssociationRules.scala ---
@@ -0,0 +1,113 @@
+/*
+ * Licensed to the Apache Software
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
@jkbradley Updated. Thanks for reviewing.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15671
@jkbradley Update according to your comments, including adding
`quantileProbabilities` and `docConcentration`.
---
If your project is set up for it, you can reply to this email and have your
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15671#discussion_r94712844
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -905,7 +911,10 @@ class LDA @Since("1.6.0") (
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15671#discussion_r94709674
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -225,7 +230,7 @@ class LinearRegression @Since("
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15671#discussion_r94709552
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/AFTSurvivalRegression.scala
---
@@ -227,6 +227,11 @@ class AFTSurvivalRegression @Since
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/15671#discussion_r94709216
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -888,6 +888,12 @@ class LDA @Since("1.6.0") (
@Si
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
Updated. Thanks for reviewing!
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16471
cc @yanboliang
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/12578
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12578
This PR is out of date, I think it's time to close it.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project doe
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/11411
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16471
[SPARK-19078] PCAModel.transform avoid extra vector conversion
## What changes were proposed in this pull request?
As suggested in the source, avoid the vector conversion in
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16457
Agreed. Now five algs inherit `HasWeightCol`: GLR/LoR/LiR/NB/IsotonicReg
I found that some algs use `RDD[Instance]` in `train` : GLR/LoR/LiR
```
val instances: RDD[Instance
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16457
@srowen OK. This is the list of algs that deals with weights:
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16453
Updated. Thanks for reviewing.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/11520
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/16457
[SPARK-19057][ML] Instances' weight must be non-negative
## What changes were proposed in this pull request?
1, add non-negative checking in `Instance`
2, fix doc
## Ho
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/12135
Jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng closed the pull request at:
https://github.com/apache/spark/pull/11303
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/16028#discussion_r94382823
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/MultilayerPerceptronClassifier.scala
---
@@ -101,7 +100,7 @@ private[classification
Github user zhengruifeng commented on a diff in the pull request:
https://github.com/apache/spark/pull/16028#discussion_r94382491
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -421,6 +435,18 @@ object LinearRegression extends
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15324
Jenkins, retest this please
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16028
cc @yanboliang
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15671
ping @sethah @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and
Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/15314
ping @srowen @jkbradley
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and
301 - 400 of 878 matches
Mail list logo