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Posted to reviews@spark.apache.org by mengxr <gi...@git.apache.org> on 2014/04/24 08:51:27 UTC
[GitHub] spark pull request: [WIP][SPARK-1594] Cleaning up MLlib APIs and g...
GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/524
[WIP][SPARK-1594] Cleaning up MLlib APIs and guide
Final pass before the v1.0 release.
* Remove `VectorRDDs`
* Move `BinaryClassificationMetrics` from `evaluation.binary` to `evaluation`
* Mark main methods experimental
* Change default value of `addIntercept` to false and allow to add intercept in Ridge and Lasso.
* Clean `DecisionTree` package doc and test suite.
* ...
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mengxr/spark mllib-cleaning
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/524.patch
To close this pull request, make a commit to your master/trunk branch
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This closes #524
----
commit 1c1a0e394f2a7587f80cad68d9a873faa20f8e8d
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-23T21:52:01Z
remove VectorRDDs because it only contains one function that is not necessary for us to maintain
commit 9194f4cb6b8d7cdfdf825b5d15e8cf5a8a134046
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-23T22:04:01Z
move BinaryClassificationMetrics one level up
commit a2695dfafa3b0225117317a6ea0fafc3e719fc32
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-23T22:05:07Z
update guide for BinaryClassificationMetrics
commit c66c56ff11c8bd09c30e845d3b99202207fd0f83
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-23T22:30:32Z
move tree md to package object doc
commit 5285174f76f1dabab688dd0a47c7a3a79b310721
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-23T22:38:43Z
mark main methods experimental
commit 4366c3b0acbe1ac2a94b7624a60faee7f5e91ee4
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-23T23:10:32Z
allow to add intercept in Ridge and Lasso
commit 3d08bbac308e840753611118f96f34c1a7b869e1
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-24T01:35:26Z
set the default value of AddIntercept to false
commit a7768d0885485bc48fdf7f9acaad9d02c0b83df5
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-24T02:06:42Z
clean DecisionTreeSuite to use LocalSparkContext
commit 26d407b269846da1bfc6dd5325b38b0053cbb3a1
Author: Xiangrui Meng <me...@databricks.com>
Date: 2014-04-24T03:05:33Z
move BinaryLabelCounter and BinaryConfusionMatrixImpl to evaluation.binary
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41656408
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41869016
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
Posted by AmplabJenkins <gi...@git.apache.org>.
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41438801
@mateiz My concern is that whether we want to encourage users to use those main methods if we know they are definitely going to change in the next release. Now the main methods take arguments in a predefined order. It is hard to remember and there is no help message.
I'm testing scopt for parsing options: https://github.com/mengxr/MLlib-QA/blob/master/src/main/scala/mllib/qa/BinaryClassification.scala
The question is whether we want to make the change now or in the next release.
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41733409
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
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https://github.com/apache/spark/pull/524#issuecomment-41247971
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by mengxr <gi...@git.apache.org>.
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-42255974
@mateiz Could you make another scan and see whether this is okay to merge? Thanks!
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
Posted by mateiz <gi...@git.apache.org>.
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41250882
Hey Xiangrui, can you also add Scaladocs on the main methods? Otherwise it looks weird to have an experimental method. Really these were meant to give people an easy way to run these algorithms from the command line, but very few are probably using it because we didn't document it, so we could also move these methods into examples instead (e.g. in an org.apache.spark.examples.mllib package in the examples project). They are also useful for perf testing during development.
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-42219903
Merged build started.
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[GitHub] spark pull request: [WIP][SPARK-1594][MLLIB] Cleaning up MLlib API...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41656757
Merged build started.
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-41737304
Merged build finished.
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[GitHub] spark pull request: [SPARK-1594][MLLIB] Cleaning up MLlib APIs and...
Posted by mateiz <gi...@git.apache.org>.
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/524#issuecomment-42259611
Thanks, it looks good. I've merged this in.
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