Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19666
@facaiy Your idea looks also reasonable. So we can use the condition
"exclude the first bin" to do the pruning (filter out the other half symmetric
splits). This condition looks si
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19156#discussion_r149956415
--- Diff: mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala ---
@@ -527,27 +570,28 @@ private[ml] object SummaryBuilderImpl extends
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/15770
LGTM. ping @yanboliang
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -286,40 +288,119 @@ object
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/18624
But, I agree the issue @MLnick mentioned, the code now looks convoluted,
can you try to simplify
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19156#discussion_r149855295
--- Diff: mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala ---
@@ -197,14 +240,14 @@ private[ml] object SummaryBuilderImpl extends
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19156#discussion_r149854985
--- Diff: mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala ---
@@ -94,46 +97,86 @@ object Summarizer extends Logging {
* - min
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19439#discussion_r148706148
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -0,0 +1,236 @@
+/*
+ * Licensed to the Apache Software
Github user WeichenXu123 commented on the issue:
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retest this please.
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We can config the class to register by config
`spark.kryo.classesToRegister`, does it need to add into spark code
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19586
and in `ml`, if we want to register class before running algos, Some other
classes like `LabeledPoint`, `Instance` also need registered.
and there're some class temporary defined in some
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19208#discussion_r148926895
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -117,6 +123,12 @@ class CrossValidator @Since("1.2.0"
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19904
@sethah To verify the memory issue, you can add one line test code against
current master at here:
```
val modelFutures = ...
// Unpersist training data only when
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19904#discussion_r155695280
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -146,31 +146,34 @@ class CrossValidator @Since("1.2.0"
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19904#discussion_r155715665
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -146,25 +147,18 @@ class CrossValidator @Since("1.2.0"
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18581#discussion_r154594381
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/libsvm/LibSVMRelationSuite.scala
---
@@ -184,4 +184,54 @@ class LibSVMRelationSuite extends
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18581#discussion_r154594735
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/libsvm/LibSVMRelationSuite.scala
---
@@ -184,4 +184,54 @@ class LibSVMRelationSuite extends
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18581#discussion_r154598540
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/libsvm/LibSVMRelationSuite.scala
---
@@ -184,4 +184,54 @@ class LibSVMRelationSuite extends
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19843
add UT for MLTest and change to use PipelineModel.
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@BryanCutler @MLnick @MrBago @hhbyyh
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[SPARK-22707][ML] Optimize CrossValidator fitting memory occupation by
models
## What changes were proposed in this pull request?
Via some test I found CrossValidator still exists
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18581#discussion_r155141551
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/libsvm/LibSVMRelationSuite.scala
---
@@ -184,4 +184,54 @@ class LibSVMRelationSuite extends
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18581#discussion_r155141609
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/source/libsvm/LibSVMRelationSuite.scala
---
@@ -184,4 +184,54 @@ class LibSVMRelationSuite extends
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19927#discussion_r155996272
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/OneVsRest.scala ---
@@ -156,54 +153,22 @@ final class OneVsRestModel private[ml
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19715#discussion_r156010806
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala ---
@@ -129,34 +156,102 @@ final class QuantileDiscretizer @Since
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19889
LGTM.
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Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19621
@felixcheung Yes, the spark.mlp test result changed because of indexer
order changed. That's because, StringIndexer when item frequency equal, there's
no definite rule for index order
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19843#discussion_r155403743
--- Diff: mllib/src/test/scala/org/apache/spark/ml/util/MLTest.scala ---
@@ -0,0 +1,81 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19927#discussion_r156249173
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/OneVsRest.scala ---
@@ -156,54 +153,22 @@ final class OneVsRestModel private[ml
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19904#discussion_r156375242
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tuning/CrossValidator.scala ---
@@ -146,25 +147,18 @@ class CrossValidator @Since("1.2.0"
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19621
@felixcheung "iris" is a built-in dataset in R, used in many algo testing,
so is it proper
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https://github.com/apache/spark/pull/19746#discussion_r156257397
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/VectorSizeHint.scala ---
@@ -0,0 +1,151 @@
+/*
+ * Licensed to the Apache Software
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19746#discussion_r156268308
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/VectorSizeHint.scala ---
@@ -0,0 +1,151 @@
+/*
+ * Licensed to the Apache Software
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18390#discussion_r156295173
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala
---
@@ -80,17 +102,42 @@ class
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18390#discussion_r156292467
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala
---
@@ -38,17 +38,39 @@ class
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19627
@jkbradley I think it is better to review #19857 (fix python model specific
optimization) and merge it first and then I rebase & update thi
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https://github.com/apache/spark/pull/19439#discussion_r147075121
--- Diff: mllib/src/main/scala/org/apache/spark/ml/image/ImageSchema.scala
---
@@ -0,0 +1,258 @@
+/*
+ * Licensed to the Apache Software
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19433#discussion_r147036693
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/tree/impl/LocalDecisionTree.scala ---
@@ -0,0 +1,250 @@
+/*
+ * Licensed to the Apache
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19433
> We'll actually only have to run an O(n log n) sort on continuous feature
values once (i.e. in the FeatureVector constructor), since once the continuous
features are sorted we can update t
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19565
@akopich If you want to cache the input dataset, create JIAR to discuss it
first. It's another issue I think. This JIAR also related to input caching
issues: https://issues.apache.org/jira
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19565
@akopich IMO the filter won't cost too much, don't worry about the
performance. (Or you can make a test to make sure
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19558
cc @jkbradley @MrBago
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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 WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19565#discussion_r146799989
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala ---
@@ -497,40 +495,38 @@ final class OnlineLDAOptimizer extends
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19565#discussion_r146810442
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala ---
@@ -497,40 +495,38 @@ final class OnlineLDAOptimizer extends
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/10466
@hhbyyh OK. i will take this over. Our team need this feature now.
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https://github.com/apache/spark/pull/19621
[SPARK-11215][ml] Add multiple columns support to StringIndexer
## What changes were proposed in this pull request?
Add multiple columns support to StringIndexer.
## How
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15770#discussion_r148047597
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,216 @@
+/*
+ * Licensed
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/15770
@wangmiao1981 oh, not a big deal, what I thought is that, user is possible
to use `graphx` package to get the `Graph[Double, Double]`, and in `ml` package
it cannot accept this format, require
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/19621#discussion_r148174902
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/StringIndexer.scala ---
@@ -130,21 +152,33 @@ class StringIndexer @Since("
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20095#discussion_r186381507
--- Diff: mllib/src/main/scala/org/apache/spark/ml/Estimator.scala ---
@@ -79,7 +82,52 @@ abstract class Estimator[M <: Model[M]] exte
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/13493
LGTM!
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Github user WeichenXu123 commented on the issue:
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@shahidki31 Seemingly what you said above is anothor issue ? You can create
another jira for that. :)
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/PrefixSpan.scala ---
@@ -0,0 +1,96 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user WeichenXu123 commented on the issue:
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LGTM!
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/PowerIterationClustering.scala
---
@@ -232,7 +232,7 @@ class PowerIterationClustering
GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/21265
[SPARK-24146][PySpark][ML] spark.ml parity for sequential pattern mining -
PrefixSpan: Python API
## What changes were proposed in this pull request?
spark.ml parity for sequential
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/21129
Jenkins, test this please.
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--- Diff: python/pyspark/ml/util.py ---
@@ -417,15 +419,24 @@ def _get_metadata_to_save(instance, sc,
extraMetadata=None, paramMap=None
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21153#discussion_r184620777
--- Diff: python/pyspark/ml/util.py ---
@@ -417,15 +419,24 @@ def _get_metadata_to_save(instance, sc,
extraMetadata=None, paramMap=None
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21153#discussion_r184626842
--- Diff: python/pyspark/ml/util.py ---
@@ -523,11 +534,29 @@ def getAndSetParams(instance, metadata):
"""
Github user WeichenXu123 commented on the issue:
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LGTM. !
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LGTM. @jkbradley @mengxr Would you mind take a look ?
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--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/GBTClassifierSuite.scala
---
@@ -365,6 +365,20 @@ class GBTClassifierSuite extends
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/PrefixSpan.scala ---
@@ -0,0 +1,96 @@
+/*
+ * Licensed to the Apache Software Foundation
GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/21393
[SPARK-20114][ML][FOLLOW-UP] spark.ml parity for sequential pattern mining
- PrefixSpan
## What changes were proposed in this pull request?
Change `PrefixSpan` into a class
Github user WeichenXu123 commented on the issue:
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@mengxr @jkbradley
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/PrefixSpan.scala ---
@@ -0,0 +1,96 @@
+/*
+ * Licensed to the Apache Software Foundation
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/21513
LGTM. Thanks! @mengxr Would you mind take a look ?
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--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1159,216 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/21119
@huaxingao Create a new PR is better I think.
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--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1157,204 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
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--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1157,204 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
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https://github.com/apache/spark/pull/21513#discussion_r194214831
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1157,204 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
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https://github.com/apache/spark/pull/21513#discussion_r194215008
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1157,204 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
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https://github.com/apache/spark/pull/21513#discussion_r194214431
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1157,204 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21265#discussion_r191996249
--- Diff: python/pyspark/ml/fpm.py ---
@@ -243,3 +244,105 @@ def setParams(self, minSupport=0.3,
minConfidence=0.8, itemsCol="
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21265#discussion_r191995667
--- Diff: python/pyspark/ml/fpm.py ---
@@ -243,3 +244,75 @@ def setParams(self, minSupport=0.3, minConfidence=0.8,
itemsCol="
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21265#discussion_r192000596
--- Diff: python/pyspark/ml/fpm.py ---
@@ -243,3 +244,105 @@ def setParams(self, minSupport=0.3,
minConfidence=0.8, itemsCol="
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[SPARK-15784] Add Power Iteration Clustering to spark.ml
## What changes were proposed in this pull request?
According to the discussion on JIRA. I rewrite the Power Iteration
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[SPARK-24097][ML] Instruments improvements - RandomForest and
GradientBoostedTree
## What changes were proposed in this pull request?
Instruments improvements for `RandomForest
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/17086#discussion_r184584878
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
---
@@ -55,44 +60,128 @@ class MulticlassMetricsSuite
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overall good, @jkbradley Would you mind take a look ?
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--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/evaluation/MulticlassMetricsSuite.scala
---
@@ -95,4 +95,95 @@ class MulticlassMetricsSuite
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20973#discussion_r185149879
--- Diff: mllib/src/main/scala/org/apache/spark/ml/fpm/PrefixSpan.scala ---
@@ -44,26 +43,37 @@ object PrefixSpan {
*
* @param dataset
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https://github.com/apache/spark/pull/21218#discussion_r185970925
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/clustering/GaussianMixture.scala ---
@@ -423,6 +423,8 @@ class GaussianMixture @Since("
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184343934
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184342231
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184346287
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184344901
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184345688
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184344777
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/20973
Jenkins, test this please.
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