Github user codedeft closed the pull request at:
https://github.com/apache/spark/pull/840
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/3094#issuecomment-61769695
@jkbradley @manishamde @mengxr
This is probably not the right place to communicate this. But FYI, I
created a separate story for refining tree predictions for GB
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/3094#issuecomment-61762230
Sounds good. I'll create a story for this.
In addition to using internal formats for more efficiency, perhaps there
are also some minor things su
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/3094#issuecomment-61753980
@jkbradley @manishamde Is there a story for TreeBoost improvement for
Gradient Boosting? TreeBoosting basically improves the gradient estimation at
each iteration by re
Github user codedeft closed the pull request at:
https://github.com/apache/spark/pull/2868
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61375497
It finally finished.
10 Trees, 30 depth limit. mnist8m, 20 executors:
15 hours with node Id cache.
21 hours without node Id cache.
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61358798
@mengxr @jkbradley Can you merge this? This is the only way you can
effectively train 10 large trees with the mnist8m dataset.
With node Id cache, it took a
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61358267
The conflict is caused by the GBoosting check-in. I'm taking a look.
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61335866
Yea, I'm also getting Yarn compilation failure on my machine after doing
the latest pull. Is this happening everywhere?
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61190259
I've addressed the comments. Please review at your convenience. I'll
publish some big data results once they are actually done.
Thanks!
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61189986
Ok, my performance test on the small mnist is still consistent (100 trees,
30 depth limit). I think that the big reason for this is that when it's
actually running
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61170031
Hm, I see. I'll try testing again on the small mnist but my previous test
was on a cluster with 8 executors. However, I realize now that it probably only
utilized
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61155725
Yea, I'm trying to run depth 30 tests, but I got failures (both without and
with node Id cache) that seem to happen often in our clusters when using
TorrentBroa
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-61026533
I've been doing some larger dataset (8 million rows with 784 features)
testing on node Id cache and I don't think that node Id cache will do much for
shallow
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2607#discussion_r19570062
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala
---
@@ -26,7 +26,7 @@ import
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2607#discussion_r19569497
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/GradientBoosting.scala ---
@@ -0,0 +1,433 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2607#discussion_r19567808
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/GradientBoosting.scala ---
@@ -0,0 +1,433 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2607#discussion_r19567364
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala
---
@@ -26,7 +26,7 @@ import
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2607#discussion_r19563689
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/DecisionTreeRunner.scala
---
@@ -26,7 +26,7 @@ import
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2607#discussion_r19563516
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/GradientBoosting.scala ---
@@ -0,0 +1,433 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19513979
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510500
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -584,6 +648,13 @@ object DecisionTree extends Serializable with Logging
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510465
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510480
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510132
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510120
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510115
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19510109
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -613,6 +684,14 @@ object DecisionTree extends Serializable with Logging
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-60723953
Updated codes that at every iteration, persist new cache values while
unpersisting old values have been submitted.
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-60713165
Here's one number. But this requires constant re-caching new node Id caches
and unpersisting old node Id caches that is not reflected in the code yet. I'm
n
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-60712109
Currently doing some performance testing.
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Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19306308
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19249614
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195671
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -553,7 +589,26 @@ object DecisionTree extends Serializable with Logging
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195610
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -515,6 +523,34 @@ object DecisionTree extends Serializable with Logging
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195598
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -629,6 +699,10 @@ object DecisionTree extends Serializable with Logging
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-60040201
Thanks for all the comments guys. I'll address them and resubmit.
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Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195595
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/DecisionTree.scala ---
@@ -584,6 +642,9 @@ object DecisionTree extends Serializable with Logging
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195587
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195544
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195515
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195486
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2868#discussion_r19195461
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/NodeIdCache.scala ---
@@ -0,0 +1,171 @@
+/*
+ * Licensed to the Apache Software
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-59879666
test this please
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2868#issuecomment-59878898
Seems like lots of line too long messages. Will address this.
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GitHub user codedeft opened a pull request:
https://github.com/apache/spark/pull/2868
[SPARK-3161][MLLIB] Adding a node Id caching mechanism for training deci...
...sion trees. @jkbradley @mengxr @chouquin Please review this.
You can merge this pull request into a Git repository by
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-57415563
@debasish83
Yes. Or at least back when I tested it 4 months ago ;(
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-57413615
@debasish83 We fixed the previously broken Breeze OWLQN in Breeze 0.8 and
we know that the new Breeze OWLQN works as expected. However, this particular
PR does not
Github user codedeft commented on a diff in the pull request:
https://github.com/apache/spark/pull/2435#discussion_r18009800
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/tree/impl/DecisionTreeMetadata.scala
---
@@ -128,13 +139,34 @@ private[tree] object
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55976071
Additionally, I suppose allowing the actual size for feature subset as an
input would be useful in model-search later on.
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55975519
@jkbradley I guess that I don't have a particular preference, (either
fraction or the actual number). The actual number seems a bit better to me
since you are not
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55974486
@jkbradley Thanks Joseph. It makes sense.
It looks good upon very rough browsing. Some minor things:
* Would be nice to have support for without
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55971575
@jkbradley I don't quite get what different columns in result numbers mean.
Do you mean that you are still training exactly the same single tree (to
depth
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/2435#issuecomment-55967377
Hi Joseph,
I'll take a look when I can, but this is a massive PR, so I'm not sure if
I'll have time to go through this thoroughly.
*
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-44043910
Done!
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-43957905
Breeze has been updated to 0.8. This should now work.
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-43667582
I'll try to get David to publish the latest breeze and change the project
file to reference the latest breeze.
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Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-43666271
To clarify - it requires the latest breeze. The OWL-QN in breeze had bugs,
which I fixed. I'm not sure if David's published an official release yet but
i
Github user codedeft commented on the pull request:
https://github.com/apache/spark/pull/840#issuecomment-43665097
jira link :
https://issues.apache.org/jira/browse/SPARK-1892
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GitHub user codedeft opened a pull request:
https://github.com/apache/spark/pull/840
Adding OWL-QN optimizer for L1 regularizations. It can also handle L2 re...
Adding OWL-QN optimizer for L1 regularizations. It can also handle L2 and
L1 regularizations together (balanced with
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