Github user smurching commented on the issue:
https://github.com/apache/spark/pull/20389
Thanks for the reviews @srowen, @dongjoon-hyun! Would it make sense to
merge this before Spark 2.3 is released & if so would one of you be able to do
GitHub user smurching opened a pull request:
https://github.com/apache/spark/pull/20389
[SPARK-23205][ML] Update ImageSchema.readImages to correctly set alpha
values for four-channel images
## What changes were proposed in this pull request?
When parsing raw image data
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19758#discussion_r154284858
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/tree/impl/TreeSplitUtilsSuite.scala ---
@@ -0,0 +1,280 @@
+/*
+ * Licensed to the Apache
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19753
This LGTM, @jkbradley would you be able to give this a look?
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https://github.com/apache/spark/pull/19753#discussion_r151315757
--- Diff: python/pyspark/ml/feature.py ---
@@ -2565,22 +2575,28 @@ class VectorIndexer(JavaEstimator, HasInputCol,
HasOutputCol, JavaMLReadable, Ja
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19753#discussion_r151298582
--- Diff: python/pyspark/ml/feature.py ---
@@ -2565,22 +2575,28 @@ class VectorIndexer(JavaEstimator, HasInputCol,
HasOutputCol, JavaMLReadable, Ja
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19753#discussion_r151298765
--- Diff: python/pyspark/ml/feature.py ---
@@ -2565,22 +2575,28 @@ class VectorIndexer(JavaEstimator, HasInputCol,
HasOutputCol, JavaMLReadable, Ja
GitHub user smurching opened a pull request:
https://github.com/apache/spark/pull/19758
[SPARK-3162][MLlib] Local Tree Training Pt 1: Refactor RandomForest.scala
into utility classes
## What changes were proposed in this pull request?
Breaks up #19433 to help unblock
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19753
Looking at this now, thanks @WeichenXu123!
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Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19381#discussion_r151020618
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/RandomForestRegressorSuite.scala
---
@@ -19,14 +19,16 @@ package
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19381#discussion_r151020666
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/regression/GBTRegressorSuite.scala ---
@@ -19,15 +19,16 @@ package org.apache.spark.ml.regression
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r151019591
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -852,6 +662,41 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r151017375
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/SplitUtils.scala ---
@@ -0,0 +1,215 @@
+/*
+ * Licensed to the Apache Software
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r151011913
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -627,221 +621,37 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r151011879
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/model/InformationGainStats.scala
---
@@ -112,7 +113,7 @@ private[spark] object ImpurityStats
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19666
Discussed with @jkbradley, I'll split up #19433 so that the parts of it
that'd potentially conflict with this PR (refactoring RandomForest.scala into
utility classes) can be merged first
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19666#discussion_r149238531
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -976,6 +930,44 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19666#discussion_r149238185
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -741,17 +678,43 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19666#discussion_r149237212
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -741,17 +678,43 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19666#discussion_r149242575
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -976,6 +930,44 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19666#discussion_r149238123
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -741,17 +678,43 @@ private[spark] object RandomForest extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19666#discussion_r149241680
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala ---
@@ -976,6 +930,44 @@ private[spark] object RandomForest extends
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
jenkins retest this please
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Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19381#discussion_r148709163
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/LinearSVCSuite.scala ---
@@ -202,6 +202,15 @@ class LinearSVCSuite extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19381#discussion_r148708939
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/NaiveBayesSuite.scala
---
@@ -165,6 +165,35 @@ class NaiveBayesSuite extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19381#discussion_r148709125
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/NaiveBayesSuite.scala
---
@@ -165,6 +165,35 @@ class NaiveBayesSuite extends
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
jenkins retest this please
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Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
Made a few updates, hereâs a quick summary/what Iâd propose moving
forward:
Right now:
* Shared row indices for all (categorical & continuous) features are stored
&
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r147307553
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/LocalDecisionTree.scala ---
@@ -0,0 +1,250 @@
+/*
+ * Licensed to the Apache
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19381#discussion_r146986798
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/DecisionTreeClassifierSuite.scala
---
@@ -267,6 +268,24 @@ class
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19381
Looking at this now!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/LocalDecisionTree.scala ---
@@ -0,0 +1,250 @@
+/*
+ * Licensed to the Apache
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
@WeichenXu123 Thanks for the comments! I'll respond inline:
> In your doc, you said "Specifically, we only need to store sufficient
stats for each bin of a single feature, as
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r146731101
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/TrainingInfo.scala ---
@@ -0,0 +1,144 @@
+/*
+ * Licensed to the Apache Software
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r146731083
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/LocalDecisionTree.scala ---
@@ -0,0 +1,250 @@
+/*
+ * Licensed to the Apache
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r146731070
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/AggUpdateUtils.scala ---
@@ -0,0 +1,85 @@
+/*
+ * Licensed to the Apache Software
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r146731072
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/FeatureVector.scala ---
@@ -0,0 +1,148 @@
+/*
+ * Licensed to the Apache Software
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
Sorry, realized I conflated feature subsampling and `subsampleWeights`
(instance weights for training examples). IMO feature subsampling can be added
in a follow-up PR, but `subsampleWeights
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
Thanks for the comments!
- Yep, feature subsampling is necessary for using local tree training in
distributed training. I was thinking of adding subsampling in a follow-up PR.
You're
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
The failing SparkR test (which compares `RandomForest` predictions to
hardcoded values) fails not due to a correctness issue but (AFAICT) because of
an implementation change in best-split
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
The failing tests (in `DecisionTreeSuite`) fail because we've historically
handled
a) splits that have 0 gain
differently from
b) splits that fail to achieve user
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
Thanks! I'll remove the WIP. To clear things up for the future, I'd thought
[WIP] was the appropriate tag for a PR that's ready for review but not ready to
be merged (based on https
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r143398990
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/LocalDecisionTreeUtils.scala
---
@@ -0,0 +1,59 @@
+/*
+ * Licensed to the Apache
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19433
@WeichenXu123 would you be able to take an initial look at this?
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GitHub user smurching opened a pull request:
https://github.com/apache/spark/pull/19433
[SPARK-3162] [MLlib][WIP] Add local tree training for decision tree
regressors
## What changes were proposed in this pull request?
WIP, DO NOT MERGE
### Overview
This PR
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19278#discussion_r139816308
--- Diff: mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala ---
@@ -399,14 +399,17 @@ private[ml] object DefaultParamsReader
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19278#discussion_r139809836
--- Diff: mllib/src/main/scala/org/apache/spark/ml/util/ReadWrite.scala ---
@@ -399,14 +399,17 @@ private[ml] object DefaultParamsReader
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19278#discussion_r139817121
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -17,6 +17,7 @@
package org.apache.spark.ml.tuning
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r139586600
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala ---
@@ -276,12 +315,32 @@ object TrainValidationSplitModel extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r139578700
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/TrainValidationSplit.scala ---
@@ -276,12 +315,32 @@ object TrainValidationSplitModel extends
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r139573779
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -261,17 +290,40 @@ class CrossValidatorModel private[ml
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r139556318
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
---
@@ -82,7 +82,10 @@ private[shared] object
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r139568979
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -237,12 +251,17 @@ object CrossValidator extends
MLReadable
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r139557219
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -117,6 +123,12 @@ class CrossValidator @Since("1.2.0"
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138712707
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -483,24 +488,24 @@ class LogisticRegression @Since
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19106
@sethah I haven't heard of anybody hitting this issue in practice, but it
did seem best to ensure that valid probability distributions would be produced
regardless of input. There was some
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19186
Note: This PR follows up on the work/discussions in
[https://github.com/apache/spark/pull/17014](https://github.com/apache/spark/pull/17014
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138139729
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala
---
@@ -300,20 +300,23 @@ class KMeans @Since("1.5.0") (
@Si
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138136774
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala
---
@@ -483,24 +488,17 @@ class LogisticRegression @Since
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138137893
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/OneVsRest.scala ---
@@ -163,9 +165,7 @@ final class OneVsRestModel private[ml
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138139091
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/param/shared/SharedParamsCodeGen.scala
---
@@ -82,7 +82,8 @@ private[shared] object
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138140113
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/IsotonicRegression.scala ---
@@ -165,8 +170,7 @@ class IsotonicRegression @Since("
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19186#discussion_r138139539
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/classification/LogisticRegression.scala
---
@@ -444,13 +444,13 @@ class
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19107
@jkbradley would you be able to give this a look? Thanks!
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Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19106
This looks good to me! @srowen would you be able to give it another look?
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Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19106#discussion_r137988907
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/ProbabilisticClassifier.scala
---
@@ -245,6 +245,13 @@ private[ml] object
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/17014
Hi @zhengruifeng, thanks for your work on this!
Now that we're introducing a new handlePersistence parameter (a new public
API), it'd be good to track work in a separate JIRA/PR
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/19107
Sorry for the delay, this looks good to me -- thanks @WeichenXu123!
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Github user smurching commented on the issue:
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@WeichenXu123 That approach sounds reasonable to me.
My main thought (& this might be obvious) is on the implementation level --
as long as we implement this by ad
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r136152805
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/ProbabilisticClassifierSuite.scala
---
@@ -91,4 +94,60 @@ object
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r135655220
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/ProbabilisticClassifierSuite.scala
---
@@ -91,4 +94,54 @@ object
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r135653663
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/ProbabilisticClassifierSuite.scala
---
@@ -91,4 +94,54 @@ object
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r135656421
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/ProbabilisticClassifierSuite.scala
---
@@ -91,4 +94,54 @@ object
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r135653421
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/ProbabilisticClassifierSuite.scala
---
@@ -18,7 +18,10 @@
package
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r135653044
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/DecisionTreeClassifierSuite.scala
---
@@ -262,6 +262,9 @@ class
Github user smurching commented on a diff in the pull request:
https://github.com/apache/spark/pull/19065#discussion_r135653479
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/ProbabilisticClassifierSuite.scala
---
@@ -18,7 +18,10 @@
package
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/14872
No worries, apologies for being busy on my end -- I'll leave the branch up
& try to contribute in other ways when I have the time!
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Github user smurching closed the pull request at:
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Github user smurching commented on the issue:
https://github.com/apache/spark/pull/14872
Hi,
I've stopped working on this PR - I can go ahead and close it.
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GitHub user smurching reopened a pull request:
https://github.com/apache/spark/pull/14872
[SPARK-3162][MLlib][WIP] Add local tree training for decision tree
regressors
## What changes were proposed in this pull request?
Based on [Yggdrasil](https://github.com/fabuzaid21
Github user smurching closed the pull request at:
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GitHub user smurching opened a pull request:
https://github.com/apache/spark/pull/14872
Add local tree training for decision tree regressors
## What changes were proposed in this pull request?
Based on [Yggdrasil](https://github.com/fabuzaid21/yggdrasil), added local
Github user smurching commented on the issue:
https://github.com/apache/spark/pull/13881
Does it make sense to only perform instrumentation-related computations
(i.e. updating the max/min nodes per group) if the instrumentation argument to
RandomForest.run (instr) is not None
GitHub user smurching opened a pull request:
https://github.com/apache/spark/pull/13881
[SPARK-3723] [MLlib] Adding instrumentation to random forests
## What changes were proposed in this pull request?
In RandomForest.run(), added instrumentation for the number of node
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