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* [maven-release-plugin] prepare release v1.0.0-rc9Patrick Wendell2014-05-171-1/+1
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* Revert "[maven-release-plugin] prepare release v1.0.0-rc8"Patrick Wendell2014-05-161-1/+1
| | | | This reverts commit 80eea0f111c06260ffaa780d2f3f7facd09c17bc.
* Revert "[maven-release-plugin] prepare for next development iteration"Patrick Wendell2014-05-161-1/+1
| | | | This reverts commit e5436b8c1a79ce108f3af402455ac5f6dc5d1eb3.
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-05-161-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc8Patrick Wendell2014-05-161-1/+1
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* Revert "[maven-release-plugin] prepare release v1.0.0-rc7"Patrick Wendell2014-05-161-1/+1
| | | | This reverts commit 9212b3e5bb5545ccfce242da8d89108e6fb1c464.
* Revert "[maven-release-plugin] prepare for next development iteration"Patrick Wendell2014-05-161-1/+1
| | | | This reverts commit c4746aa6fe4aaf383e69e34353114d36d1eb9ba6.
* [SPARK-1741][MLLIB] add predict(JavaRDD) to RegressionModel, ↵Xiangrui Meng2014-05-156-2/+76
| | | | | | | | | | | | | | | | | | | | | | ClassificationModel, and KMeans `model.predict` returns a RDD of Scala primitive type (Int/Double), which is recognized as Object in Java. Adding predict(JavaRDD) could make life easier for Java users. Added tests for KMeans, LinearRegression, and NaiveBayes. Will update examples after https://github.com/apache/spark/pull/653 gets merged. cc: @srowen Author: Xiangrui Meng <meng@databricks.com> Closes #670 from mengxr/predict-javardd and squashes the following commits: b77ccd8 [Xiangrui Meng] Merge branch 'master' into predict-javardd 43caac9 [Xiangrui Meng] add predict(JavaRDD) to RegressionModel, ClassificationModel, and KMeans (cherry picked from commit d52761d67f42ad4d2ff02d96f0675fb3ab709f38) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-05-151-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc7Patrick Wendell2014-05-151-1/+1
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* Revert "[maven-release-plugin] prepare release v1.0.0-rc6"Patrick Wendell2014-05-141-1/+1
| | | | This reverts commit 54133abdce0246f6643a1112a5204afb2c4caa82.
* Revert "[maven-release-plugin] prepare for next development iteration"Patrick Wendell2014-05-141-1/+1
| | | | This reverts commit e480bcfbd269ae1d7a6a92cfb50466cf192fe1fb.
* Package docsPrashant Sharma2014-05-143-0/+69
| | | | | | | | | | | | | | | | | This is a few changes based on the original patch by @scrapcodes. Author: Prashant Sharma <prashant.s@imaginea.com> Author: Patrick Wendell <pwendell@gmail.com> Closes #785 from pwendell/package-docs and squashes the following commits: c32b731 [Patrick Wendell] Changes based on Prashant's patch c0463d3 [Prashant Sharma] added eof new line ce8bf73 [Prashant Sharma] Added eof new line to all files. 4c35f2e [Prashant Sharma] SPARK-1563 Add package-info.java and package.scala files for all packages that appear in docs (cherry picked from commit 46324279dae2fa803267d788f7c56b0ed643b4c8) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1696][MLLIB] use alpha in dense dsprXiangrui Meng2014-05-141-1/+1
| | | | | | | | | | | | | It doesn't affect existing code because only `alpha = 1.0` is used in the code. Author: Xiangrui Meng <meng@databricks.com> Closes #778 from mengxr/mllib-dspr-fix and squashes the following commits: a37402e [Xiangrui Meng] use alpha in dense dspr (cherry picked from commit e3d72a74ad007c2bf279d6a74cdaca948bdf0ddd) Signed-off-by: Reynold Xin <rxin@apache.org>
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-05-141-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc6Patrick Wendell2014-05-141-1/+1
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* Revert "[maven-release-plugin] prepare release v1.0.0-rc5"Patrick Wendell2014-05-141-1/+1
| | | | This reverts commit 18f062303303824139998e8fc8f4158217b0dbc3.
* Revert "[maven-release-plugin] prepare for next development iteration"Patrick Wendell2014-05-141-1/+1
| | | | This reverts commit d08e9604fc9958b7c768e91715c8152db2ed6fd0.
* SPARK-1791 - SVM implementation does not use threshold parameterAndrew Tulloch2014-05-132-1/+38
| | | | | | | | | | | | | | | | | | | | | | | | | | | Summary: https://issues.apache.org/jira/browse/SPARK-1791 Simple fix, and backward compatible, since - anyone who set the threshold was getting completely wrong answers. - anyone who did not set the threshold had the default 0.0 value for the threshold anyway. Test Plan: Unit test added that is verified to fail under the old implementation, and pass under the new implementation. Reviewers: CC: Author: Andrew Tulloch <andrew@tullo.ch> Closes #725 from ajtulloch/SPARK-1791-SVM and squashes the following commits: 770f55d [Andrew Tulloch] SPARK-1791 - SVM implementation does not use threshold parameter (cherry picked from commit d1e487473fd509f28daf28dcda856f3c2f1194ec) Signed-off-by: Reynold Xin <rxin@apache.org>
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-05-131-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc5Patrick Wendell2014-05-131-1/+1
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* Revert "[maven-release-plugin] prepare release v1.0.0-rc4"Patrick Wendell2014-05-121-1/+1
| | | | This reverts commit 3d0a44833ab50360bf9feccc861cb5e8c44a4866.
* Revert "[maven-release-plugin] prepare for next development iteration"Patrick Wendell2014-05-121-1/+1
| | | | This reverts commit 9772d85c6f3893d42044f4bab0e16f8b6287613a.
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-05-131-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc4Patrick Wendell2014-05-131-1/+1
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* Rollback versions for 1.0.0-rc4Patrick Wendell2014-05-121-1/+1
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* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-05-121-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc4Patrick Wendell2014-05-121-1/+1
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* SPARK-1798. Tests should clean up temp filesSean Owen2014-05-122-14/+5
| | | | | | | | | | | | | | | | | | | | | | | Three issues related to temp files that tests generate – these should be touched up for hygiene but are not urgent. Modules have a log4j.properties which directs the unit-test.log output file to a directory like `[module]/target/unit-test.log`. But this ends up creating `[module]/[module]/target/unit-test.log` instead of former. The `work/` directory is not deleted by "mvn clean", in the parent and in modules. Neither is the `checkpoint/` directory created under the various external modules. Many tests create a temp directory, which is not usually deleted. This can be largely resolved by calling `deleteOnExit()` at creation and trying to call `Utils.deleteRecursively` consistently to clean up, sometimes in an `@After` method. _If anyone seconds the motion, I can create a more significant change that introduces a new test trait along the lines of `LocalSparkContext`, which provides management of temp directories for subclasses to take advantage of._ Author: Sean Owen <sowen@cloudera.com> Closes #732 from srowen/SPARK-1798 and squashes the following commits: 5af578e [Sean Owen] Try to consistently delete test temp dirs and files, and set deleteOnExit() for each b21b356 [Sean Owen] Remove work/ and checkpoint/ dirs with mvn clean bdd0f41 [Sean Owen] Remove duplicate module dir in log4j.properties output path for tests (cherry picked from commit 7120a2979d0a9f0f54a88b2416be7ca10e74f409) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* Bug fix of sparse vector conversionFunes2014-05-082-1/+14
| | | | | | | | | | | | | | | | | | Fixed a small bug caused by the inconsistency of index/data array size and vector length. Author: Funes <tianshaocun@gmail.com> Author: funes <tianshaocun@gmail.com> Closes #661 from funes/bugfix and squashes the following commits: edb2b9d [funes] remove unused import 75dced3 [Funes] update test case d129a66 [Funes] Add test for sparse breeze by vector builder 64e7198 [Funes] Copy data only when necessary b85806c [Funes] Bug fix of sparse vector conversion (cherry picked from commit 191279ce4edb940821d11a6b25cd33c8ad0af054) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1157][MLlib] Bug fix: lossHistory should exclude rejection steps, and ↵DB Tsai2014-05-082-48/+30
| | | | | | | | | | | | | | | | | remove miniBatch Getting the lossHistory from Breeze's API which already excludes the rejection steps in line search. Also, remove the miniBatch in LBFGS since those quasi-Newton methods approximate the inverse of Hessian. It doesn't make sense if the gradients are computed from a varying objective. Author: DB Tsai <dbtsai@alpinenow.com> Closes #582 from dbtsai/dbtsai-lbfgs-bug and squashes the following commits: 9cc6cf9 [DB Tsai] Removed the miniBatch in LBFGS. 1ba6a33 [DB Tsai] Formatting the code. d72c679 [DB Tsai] Using Breeze's states to get the loss. (cherry picked from commit 910a13b3c52a6309068b4997da6df6b7d6058a1b) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* SPARK-1544 Add support for deep decision trees.Manish Amde2014-05-073-23/+170
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | @etrain and I came with a PR for arbitrarily deep decision trees at the cost of multiple passes over the data at deep tree levels. To summarize: 1) We take a parameter that indicates the amount of memory users want to reserve for computation on each worker (and 2x that at the driver). 2) Using that information, we calculate two things - the maximum depth to which we train as usual (which is, implicitly, the maximum number of nodes we want to train in parallel), and the size of the groups we should use in the case where we exceed this depth. cc: @atalwalkar, @hirakendu, @mengxr Author: Manish Amde <manish9ue@gmail.com> Author: manishamde <manish9ue@gmail.com> Author: Evan Sparks <sparks@cs.berkeley.edu> Closes #475 from manishamde/deep_tree and squashes the following commits: 968ca9d [Manish Amde] merged master 7fc9545 [Manish Amde] added docs ce004a1 [Manish Amde] minor formatting b27ad2c [Manish Amde] formatting 426bb28 [Manish Amde] programming guide blurb 8053fed [Manish Amde] more formatting 5eca9e4 [Manish Amde] grammar 4731cda [Manish Amde] formatting 5e82202 [Manish Amde] added documentation, fixed off by 1 error in max level calculation cbd9f14 [Manish Amde] modified scala.math to math dad9652 [Manish Amde] removed unused imports e0426ee [Manish Amde] renamed parameter 718506b [Manish Amde] added unit test 1517155 [Manish Amde] updated documentation 9dbdabe [Manish Amde] merge from master 719d009 [Manish Amde] updating user documentation fecf89a [manishamde] Merge pull request #6 from etrain/deep_tree 0287772 [Evan Sparks] Fixing scalastyle issue. 2f1e093 [Manish Amde] minor: added doc for maxMemory parameter 2f6072c [manishamde] Merge pull request #5 from etrain/deep_tree abc5a23 [Evan Sparks] Parameterizing max memory. 50b143a [Manish Amde] adding support for very deep trees (cherry picked from commit f269b016acb17b24d106dc2b32a1be389489bb01) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* Update GradientDescentSuite.scalabaishuo(白硕)2014-05-071-3/+3
| | | | | | | | | | | | | | | use more faster way to construct an array Author: baishuo(白硕) <vc_java@hotmail.com> Closes #588 from baishuo/master and squashes the following commits: 45b95fb [baishuo(白硕)] Update GradientDescentSuite.scala c03b61c [baishuo(白硕)] Update GradientDescentSuite.scala b666d27 [baishuo(白硕)] Update GradientDescentSuite.scala (cherry picked from commit 0c19bb161b9b2b96c0c55d3ea09e81fd798cbec0) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* SPARK-1727. Correct small compile errors, typos, and markdown issues in ↵Sean Owen2014-05-061-6/+6
| | | | | | | | | | | | | | | | | | | | | (primarly) MLlib docs While play-testing the Scala and Java code examples in the MLlib docs, I noticed a number of small compile errors, and some typos. This led to finding and fixing a few similar items in other docs. Then in the course of building the site docs to check the result, I found a few small suggestions for the build instructions. I also found a few more formatting and markdown issues uncovered when I accidentally used maruku instead of kramdown. Author: Sean Owen <sowen@cloudera.com> Closes #653 from srowen/SPARK-1727 and squashes the following commits: 6e7c38a [Sean Owen] Final doc updates - one more compile error, and use of mean instead of sum and count 8f5e847 [Sean Owen] Fix markdown syntax issues that maruku flags, even though we use kramdown (but only those that do not affect kramdown's output) 99966a9 [Sean Owen] Update issue tracker URL in docs 23c9ac3 [Sean Owen] Add Scala Naive Bayes example, to use existing example data file (whose format needed a tweak) 8c81982 [Sean Owen] Fix small compile errors and typos across MLlib docs (cherry picked from commit 25ad8f93012730115a8a1fac649fe3e842c045b3) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1594][MLLIB] Cleaning up MLlib APIs and guideXiangrui Meng2014-05-0534-320/+381
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Final pass before the v1.0 release. * Remove `VectorRDDs` * Move `BinaryClassificationMetrics` from `evaluation.binary` to `evaluation` * Change default value of `addIntercept` to false and allow to add intercept in Ridge and Lasso. * Clean `DecisionTree` package doc and test suite. * Mark model constructors `private[spark]` * Rename `loadLibSVMData` to `loadLibSVMFile` and hide `LabelParser` from users. * Add `saveAsLibSVMFile`. * Add `appendBias` to `MLUtils`. Author: Xiangrui Meng <meng@databricks.com> Closes #524 from mengxr/mllib-cleaning and squashes the following commits: 295dc8b [Xiangrui Meng] update loadLibSVMFile doc 1977ac1 [Xiangrui Meng] fix doc of appendBias 649fcf0 [Xiangrui Meng] rename loadLibSVMData to loadLibSVMFile; hide LabelParser from user APIs 54b812c [Xiangrui Meng] add appendBias a71e7d0 [Xiangrui Meng] add saveAsLibSVMFile d976295 [Xiangrui Meng] Merge branch 'master' into mllib-cleaning b7e5cec [Xiangrui Meng] remove some experimental annotations and make model constructors private[mllib] 9b02b93 [Xiangrui Meng] minor code style update a593ddc [Xiangrui Meng] fix python tests fc28c18 [Xiangrui Meng] mark more classes experimental f6cbbff [Xiangrui Meng] fix Java tests 0af70b0 [Xiangrui Meng] minor 6e139ef [Xiangrui Meng] Merge branch 'master' into mllib-cleaning 94e6dce [Xiangrui Meng] move BinaryLabelCounter and BinaryConfusionMatrixImpl to evaluation.binary df34907 [Xiangrui Meng] clean DecisionTreeSuite to use LocalSparkContext c81807f [Xiangrui Meng] set the default value of AddIntercept to false 03389c0 [Xiangrui Meng] allow to add intercept in Ridge and Lasso c66c56f [Xiangrui Meng] move tree md to package object doc a2695df [Xiangrui Meng] update guide for BinaryClassificationMetrics 9194f4c [Xiangrui Meng] move BinaryClassificationMetrics one level up 1c1a0e3 [Xiangrui Meng] remove VectorRDDs because it only contains one function that is not necessary for us to maintain (cherry picked from commit 98750a74daf7e2b873da85d2d5067f47e3bbdc4e) Signed-off-by: Matei Zaharia <matei@databricks.com>
* [SPARK-1646] Micro-optimisation of ALSTor Myklebust2014-04-291-5/+17
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This change replaces some Scala `for` and `foreach` constructs with `while` constructs. There may be a slight performance gain on the order of 1-2% when training an ALS model. I trained an ALS model on the Movielens 10M-rating dataset repeatedly both with and without these changes. All 7 runs in both columns were done in a Scala `for` loop like this: for (iter <- 0 to 10) { val before = System.currentTimeMillis() val model = ALS.train(rats, 20, 10) val after = System.currentTimeMillis() println("%d ms".format(after-before)) println("rmse %g".format(computeRmse(model, rats, numRatings))) } The timings were done on a multiuser machine, and I stopped one set of timings after 7 had been completed. It would be nice if somebody with dedicated hardware could confirm my timings. After Before 121980 ms 122041 ms 117069 ms 117127 ms 115332 ms 117523 ms 115381 ms 117402 ms 114635 ms 116550 ms 114140 ms 114076 ms 112993 ms 117200 ms Ratios are about 1.0005, 1.0005, 1.019, 1.0175, 1.01671, 0.99944, and 1.03723. I therefore suspect these changes make for a slight performance gain on the order of 1-2%. Author: Tor Myklebust <tmyklebu@gmail.com> Closes #568 from tmyklebu/alsopt and squashes the following commits: 5ded80f [Tor Myklebust] Fix style. 79595ff [Tor Myklebust] Fix style error. 4ef0313 [Tor Myklebust] Merge branch 'master' of github.com:apache/spark into alsopt 114fb74 [Tor Myklebust] Turn some 'for' loops into 'while' loops. dcf583a [Tor Myklebust] Remove the partitioner member variable; instead, thread that needle everywhere it needs to go. 23d6f91 [Tor Myklebust] Stop making the partitioner configurable. 495784f [Tor Myklebust] Merge branch 'master' of https://github.com/apache/spark 674933a [Tor Myklebust] Fix style. 40edc23 [Tor Myklebust] Fix missing space. f841345 [Tor Myklebust] Fix daft bug creating 'pairs', also for -> foreach. 5ec9e6c [Tor Myklebust] Clean a couple of things up using 'map'. 36a0f43 [Tor Myklebust] Make the partitioner private. d872b09 [Tor Myklebust] Add negative id ALS test. df27697 [Tor Myklebust] Support custom partitioners. Currently we use the same partitioner for users and products. c90b6d8 [Tor Myklebust] Scramble user and product ids before bucketing. c774d7d [Tor Myklebust] Make the partitioner a member variable and use it instead of modding directly. (cherry picked from commit 5c0cd5c1a594c181a3f7536639122ab7d97b271b) Signed-off-by: Reynold Xin <rxin@apache.org>
* [SPARK-1636][MLLIB] Move main methods to examplesXiangrui Meng2014-04-299-304/+7
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * `NaiveBayes` -> `SparseNaiveBayes` * `KMeans` -> `DenseKMeans` * `SVMWithSGD` and `LogisticRegerssionWithSGD` -> `BinaryClassification` * `ALS` -> `MovieLensALS` * `LinearRegressionWithSGD`, `LassoWithSGD`, and `RidgeRegressionWithSGD` -> `LinearRegression` * `DecisionTree` -> `DecisionTreeRunner` `scopt` is used for parsing command-line parameters. `scopt` has MIT license and it only depends on `scala-library`. Example help message: ~~~ BinaryClassification: an example app for binary classification. Usage: BinaryClassification [options] <input> --numIterations <value> number of iterations --stepSize <value> initial step size, default: 1.0 --algorithm <value> algorithm (SVM,LR), default: LR --regType <value> regularization type (L1,L2), default: L2 --regParam <value> regularization parameter, default: 0.1 <input> input paths to labeled examples in LIBSVM format ~~~ Author: Xiangrui Meng <meng@databricks.com> Closes #584 from mengxr/mllib-main and squashes the following commits: 7b58c60 [Xiangrui Meng] minor 6e35d7e [Xiangrui Meng] make imports explicit and fix code style c6178c9 [Xiangrui Meng] update TS PCA/SVD to use new spark-submit 6acff75 [Xiangrui Meng] use scopt for DecisionTreeRunner be86069 [Xiangrui Meng] use main instead of extending App b3edf68 [Xiangrui Meng] move DecisionTree's main method to examples 8bfaa5a [Xiangrui Meng] change NaiveBayesParams to Params fe23dcb [Xiangrui Meng] remove main from KMeans and add DenseKMeans as an example 67f4448 [Xiangrui Meng] remove main methods from linear regression algorithms and add LinearRegression example b066bbc [Xiangrui Meng] remove main from ALS and add MovieLensALS example b040f3b [Xiangrui Meng] change BinaryClassificationParams to Params 577945b [Xiangrui Meng] remove unused imports from NB 3d299bc [Xiangrui Meng] remove main from LR/SVM and add an example app for binary classification f70878e [Xiangrui Meng] remove main from NaiveBayes and add an example NaiveBayes app 01ec2cd [Xiangrui Meng] Merge branch 'master' into mllib-main 9420692 [Xiangrui Meng] add scopt to examples dependencies (cherry picked from commit 3f38334f441940ed0a5bbf5588ca7f22d3940359) Signed-off-by: Reynold Xin <rxin@apache.org>
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-04-291-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc3Patrick Wendell2014-04-291-1/+1
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* Manual revert of rc2 version changes.Patrick Wendell2014-04-281-1/+1
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* Improved build configurationwitgo2014-04-281-14/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1, Fix SPARK-1441: compile spark core error with hadoop 0.23.x 2, Fix SPARK-1491: maven hadoop-provided profile fails to build 3, Fix org.scala-lang: * ,org.apache.avro:* inconsistent versions dependency 4, A modified on the sql/catalyst/pom.xml,sql/hive/pom.xml,sql/core/pom.xml (Four spaces formatted into two spaces) Author: witgo <witgo@qq.com> Closes #480 from witgo/format_pom and squashes the following commits: 03f652f [witgo] review commit b452680 [witgo] Merge branch 'master' of https://github.com/apache/spark into format_pom bee920d [witgo] revert fix SPARK-1629: Spark Core missing commons-lang dependence 7382a07 [witgo] Merge branch 'master' of https://github.com/apache/spark into format_pom 6902c91 [witgo] fix SPARK-1629: Spark Core missing commons-lang dependence 0da4bc3 [witgo] merge master d1718ed [witgo] Merge branch 'master' of https://github.com/apache/spark into format_pom e345919 [witgo] add avro dependency to yarn-alpha 77fad08 [witgo] Merge branch 'master' of https://github.com/apache/spark into format_pom 62d0862 [witgo] Fix org.scala-lang: * inconsistent versions dependency 1a162d7 [witgo] Merge branch 'master' of https://github.com/apache/spark into format_pom 934f24d [witgo] review commit cf46edc [witgo] exclude jruby 06e7328 [witgo] Merge branch 'SparkBuild' into format_pom 99464d2 [witgo] fix maven hadoop-provided profile fails to build 0c6c1fc [witgo] Fix compile spark core error with hadoop 0.23.x 6851bec [witgo] Maintain consistent SparkBuild.scala, pom.xml (cherry picked from commit 030f2c2126d5075576cd6d83a1ee7462c48b953b) Conflicts: sql/catalyst/pom.xml sql/core/pom.xml sql/hive/pom.xml
* [Fix #79] Replace Breakable For Loops By While LoopsSandeep2014-04-231-29/+31
| | | | | | | | | | | | | Author: Sandeep <sandeep@techaddict.me> Closes #503 from techaddict/fix-79 and squashes the following commits: e3f6746 [Sandeep] Style changes 07a4f6b [Sandeep] for loop to While loop 0a6d8e9 [Sandeep] Breakable for loop to While loop (cherry picked from commit bb68f47745eec2954814d3da277a672d5cf89980) Signed-off-by: Reynold Xin <rxin@apache.org>
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-04-241-1/+1
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* [maven-release-plugin] prepare release v1.0.0-rc2Patrick Wendell2014-04-241-1/+1
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* [Fix #274] Document + fix annotation usagesAndrew Or2014-04-222-6/+3
| | | | | | | | | | | | | | | | | | ... so that we don't follow an unspoken set of forbidden rules for adding **@AlphaComponent**, **@DeveloperApi**, and **@Experimental** annotations in the code. In addition, this PR (1) removes unnecessary `:: * ::` tags, (2) adds missing `:: * ::` tags, and (3) removes annotations for internal APIs. Author: Andrew Or <andrewor14@gmail.com> Closes #470 from andrewor14/annotations-fix and squashes the following commits: 92a7f42 [Andrew Or] Document + fix annotation usages (cherry picked from commit b3e5366f696c463f1c2f033b0d5c7365e5d6b0f8) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1281] Improve partitioning in ALSTor Myklebust2014-04-222-23/+54
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ALS was using HashPartitioner and explicit uses of `%` together. Further, the naked use of `%` meant that, if the number of partitions corresponded with the stride of arithmetic progressions appearing in user and product ids, users and products could be mapped into buckets in an unfair or unwise way. This pull request: 1) Makes the Partitioner an instance variable of ALS. 2) Replaces the direct uses of `%` with calls to a Partitioner. 3) Defines an anonymous Partitioner that scrambles the bits of the object's hashCode before reducing to the number of present buckets. This pull request does not make the partitioner user-configurable. I'm not all that happy about the way I did (1). It introduces an icky lifetime issue and dances around it by nulling something. However, I don't know a better way to make the partitioner visible everywhere it needs to be visible. Author: Tor Myklebust <tmyklebu@gmail.com> Closes #407 from tmyklebu/master and squashes the following commits: dcf583a [Tor Myklebust] Remove the partitioner member variable; instead, thread that needle everywhere it needs to go. 23d6f91 [Tor Myklebust] Stop making the partitioner configurable. 495784f [Tor Myklebust] Merge branch 'master' of https://github.com/apache/spark 674933a [Tor Myklebust] Fix style. 40edc23 [Tor Myklebust] Fix missing space. f841345 [Tor Myklebust] Fix daft bug creating 'pairs', also for -> foreach. 5ec9e6c [Tor Myklebust] Clean a couple of things up using 'map'. 36a0f43 [Tor Myklebust] Make the partitioner private. d872b09 [Tor Myklebust] Add negative id ALS test. df27697 [Tor Myklebust] Support custom partitioners. Currently we use the same partitioner for users and products. c90b6d8 [Tor Myklebust] Scramble user and product ids before bucketing. c774d7d [Tor Myklebust] Make the partitioner a member variable and use it instead of modding directly. (cherry picked from commit bf9d49b6d1f668b49795c2d380ab7d64ec0029da) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* [SPARK-1506][MLLIB] Documentation improvements for MLlib 1.0Xiangrui Meng2014-04-221-0/+100
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Preview: http://54.82.240.23:4000/mllib-guide.html Table of contents: * Basics * Data types * Summary statistics * Classification and regression * linear support vector machine (SVM) * logistic regression * linear linear squares, Lasso, and ridge regression * decision tree * naive Bayes * Collaborative Filtering * alternating least squares (ALS) * Clustering * k-means * Dimensionality reduction * singular value decomposition (SVD) * principal component analysis (PCA) * Optimization * stochastic gradient descent * limited-memory BFGS (L-BFGS) Author: Xiangrui Meng <meng@databricks.com> Closes #422 from mengxr/mllib-doc and squashes the following commits: 944e3a9 [Xiangrui Meng] merge master f9fda28 [Xiangrui Meng] minor 9474065 [Xiangrui Meng] add alpha to ALS examples 928e630 [Xiangrui Meng] initialization_mode -> initializationMode 5bbff49 [Xiangrui Meng] add imports to labeled point examples c17440d [Xiangrui Meng] fix python nb example 28f40dc [Xiangrui Meng] remove localhost:4000 369a4d3 [Xiangrui Meng] Merge branch 'master' into mllib-doc 7dc95cc [Xiangrui Meng] update linear methods 053ad8a [Xiangrui Meng] add links to go back to the main page abbbf7e [Xiangrui Meng] update ALS argument names 648283e [Xiangrui Meng] level down statistics 14e2287 [Xiangrui Meng] add sample libsvm data and use it in guide 8cd2441 [Xiangrui Meng] minor updates 186ab07 [Xiangrui Meng] update section names 6568d65 [Xiangrui Meng] update toc, level up lr and svm 162ee12 [Xiangrui Meng] rename section names 5c1e1b1 [Xiangrui Meng] minor 8aeaba1 [Xiangrui Meng] wrap long lines 6ce6a6f [Xiangrui Meng] add summary statistics to toc 5760045 [Xiangrui Meng] claim beta cc604bf [Xiangrui Meng] remove classification and regression 92747b3 [Xiangrui Meng] make section titles consistent e605dd6 [Xiangrui Meng] add LIBSVM loader f639674 [Xiangrui Meng] add python section to migration guide c82ffb4 [Xiangrui Meng] clean optimization 31660eb [Xiangrui Meng] update linear algebra and stat 0a40837 [Xiangrui Meng] first pass over linear methods 1fc8271 [Xiangrui Meng] update toc 906ed0a [Xiangrui Meng] add a python example to naive bayes 5f0a700 [Xiangrui Meng] update collaborative filtering 656d416 [Xiangrui Meng] update mllib-clustering 86e143a [Xiangrui Meng] remove data types section from main page 8d1a128 [Xiangrui Meng] move part of linear algebra to data types and add Java/Python examples d1b5cbf [Xiangrui Meng] merge master 72e4804 [Xiangrui Meng] one pass over tree guide 64f8995 [Xiangrui Meng] move decision tree guide to a separate file 9fca001 [Xiangrui Meng] add first version of linear algebra guide 53c9552 [Xiangrui Meng] update dependencies f316ec2 [Xiangrui Meng] add migration guide f399f6c [Xiangrui Meng] move linear-algebra to dimensionality-reduction 182460f [Xiangrui Meng] add guide for naive Bayes 137fd1d [Xiangrui Meng] re-organize toc a61e434 [Xiangrui Meng] update mllib's toc (cherry picked from commit 26d35f3fd942761b0adecd1a720e1fa834db4de9) Signed-off-by: Patrick Wendell <pwendell@gmail.com>
* Revert "[maven-release-plugin] prepare release v1.0.0-rc1"Patrick Wendell2014-04-211-1/+1
| | | | This reverts commit 6cc698fc378256fee9111f66c691ced27f54e973.
* Revert "[maven-release-plugin] prepare for next development iteration"Patrick Wendell2014-04-211-1/+1
| | | | This reverts commit 188f7c3f68e93b3e9347ec02e21f5943874b4741.
* [maven-release-plugin] prepare for next development iterationPatrick Wendell2014-04-211-1/+1
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