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* [SPARK-6371] [build] Update version to 1.4.0-SNAPSHOT.Marcelo Vanzin2015-03-201-1/+1
| | | | | | | | | | | | | | | | Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #5056 from vanzin/SPARK-6371 and squashes the following commits: 63220df [Marcelo Vanzin] Merge branch 'master' into SPARK-6371 6506f75 [Marcelo Vanzin] Use more fine-grained exclusion. 178ba71 [Marcelo Vanzin] Oops. 75b2375 [Marcelo Vanzin] Exclude VertexRDD in MiMA. a45a62c [Marcelo Vanzin] Work around MIMA warning. 1d8a670 [Marcelo Vanzin] Re-group jetty exclusion. 0e8e909 [Marcelo Vanzin] Ignore ml, don't ignore graphx. cef4603 [Marcelo Vanzin] Indentation. 296cf82 [Marcelo Vanzin] [SPARK-6371] [build] Update version to 1.4.0-SNAPSHOT.
* [SPARK-6428][MLlib] Added explicit type for public methods and implemented ↵Reynold Xin2015-03-202-3/+4
| | | | | | | | | | | | | hashCode when equals is defined. I want to add a checker to turn public type checking on, since future pull requests can accidentally expose a non-public type. This is the first cleanup task. Author: Reynold Xin <rxin@databricks.com> Closes #5102 from rxin/mllib-hashcode-publicmethodtypes and squashes the following commits: 617f19e [Reynold Xin] Fixed Scala compilation error. 52bc2d5 [Reynold Xin] [MLlib] Added explicit type for public methods and implemented hashCode when equals is defined.
* [SPARK-6274][Streaming][Examples] Added examples streaming + sql examples.Tathagata Das2015-03-114-0/+336
| | | | | | | | | | | | | Added Scala, Java and Python streaming examples showing DataFrame and SQL operations within streaming. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #4975 from tdas/streaming-sql-examples and squashes the following commits: 705cba1 [Tathagata Das] Fixed python lint error 75a3fad [Tathagata Das] Fixed python lint error 5fbf789 [Tathagata Das] Removed empty lines at the end 874b943 [Tathagata Das] Added examples streaming + sql examples.
* SPARK-6225 [CORE] [SQL] [STREAMING] Resolve most build warnings, 1.3.0 editionSean Owen2015-03-112-2/+3
| | | | | | | | | | | Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc. Author: Sean Owen <sowen@cloudera.com> Closes #4950 from srowen/SPARK-6225 and squashes the following commits: 3080972 [Sean Owen] Ordered imports: Java, Scala, 3rd party, Spark c67985b [Sean Owen] Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.
* [SPARK-6177][MLlib]Add note in LDA example to remind possible coalesceYuhao Yang2015-03-101-1/+3
| | | | | | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-6177 Add comment to introduce coalesce to LDA example to avoid the possible massive partitions from `sc.textFile`. sc.textFile will create RDD with one partition for each file, and the possible massive partitions downgrades LDA performance. Author: Yuhao Yang <hhbyyh@gmail.com> Closes #4899 from hhbyyh/adjustPartition and squashes the following commits: a499630 [Yuhao Yang] update comment 9a2d7b6 [Yuhao Yang] move to comment f7fd5d4 [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into adjustPartition 26a564a [Yuhao Yang] add coalesce to LDAExample
* [GraphX] Improve LiveJournalPageRank exampleJacky Li2015-03-081-7/+2
| | | | | | | | | | | | | | | 1. Removed unnecessary import 2. Modified usage print since user must specify the --numEPart parameter as it is required in Analytics.main Author: Jacky Li <jacky.likun@huawei.com> Closes #4917 from jackylk/import and squashes the following commits: 6c07682 [Jacky Li] fix comment c0df8f2 [Jacky Li] fix scalastyle b6235e6 [Jacky Li] fix for comment 87be83b [Jacky Li] remove default value description 5caae76 [Jacky Li] remove import and modify usage
* SPARK-6182 [BUILD] spark-parent pom needs to be published for both 2.10 and 2.11Sean Owen2015-03-051-1/+1
| | | | | | | | | | Option 1 of 2: Convert spark-parent module name to spark-parent_2.10 / spark-parent_2.11 Author: Sean Owen <sowen@cloudera.com> Closes #4912 from srowen/SPARK-6182.1 and squashes the following commits: eff60de [Sean Owen] Convert spark-parent module name to spark-parent_2.10 / spark-parent_2.11
* [SPARK-6111] Fixed usage string in documentation.Kenneth Myers2015-03-021-1/+1
| | | | | | | | | | | | Usage info in documentation does not match actual usage info. Doc string usage says ```Usage: network_wordcount.py <zk> <topic>``` whereas the actual usage is ```Usage: kafka_wordcount.py <zk> <topic>``` Author: Kenneth Myers <myerske@us.ibm.com> Closes #4852 from kennethmyers/kafka_wordcount_documentation_fix and squashes the following commits: 3855325 [Kenneth Myers] Fixed usage string in documentation.
* [Streaming][Minor]Fix some error docs in streaming examplesSaisai Shao2015-03-022-2/+3
| | | | | | | | | | Small changes, please help to review, thanks a lot. Author: Saisai Shao <saisai.shao@intel.com> Closes #4837 from jerryshao/doc-fix and squashes the following commits: 545291a [Saisai Shao] Fix some error docs in streaming examples
* [SPARK-5666][streaming][MQTT streaming] some trivial fixesprabs2015-02-251-20/+29
| | | | | | | | | | | | | | | | | | | | modified to adhere to accepted coding standards as pointed by tdas in PR #3844 Author: prabs <prabsmails@gmail.com> Author: Prabeesh K <prabsmails@gmail.com> Closes #4178 from prabeesh/master and squashes the following commits: bd2cb49 [Prabeesh K] adress the comment ccc0765 [prabs] adress the comment 46f9619 [prabs] adress the comment c035bdc [prabs] adress the comment 22dd7f7 [prabs] address the comments 0cc67bd [prabs] adress the comment 838c38e [prabs] adress the comment cd57029 [prabs] address the comments 66919a3 [Prabeesh K] changed MqttDefaultFilePersistence to MemoryPersistence 5857989 [prabs] modified to adhere to accepted coding standards
* [SPARK-5939][MLLib] make FPGrowth example app take parametersJacky Li2015-02-232-27/+75
| | | | | | | | | | | | | Add parameter parsing in FPGrowth example app in Scala and Java And a sample data file is added in data/mllib folder Author: Jacky Li <jacky.likun@huawei.com> Closes #4714 from jackylk/parameter and squashes the following commits: 8c478b3 [Jacky Li] fix according to comments 3bb74f6 [Jacky Li] make FPGrowth exampl app take parameters f0e4d10 [Jacky Li] make FPGrowth exampl app take parameters
* [EXAMPLES] fix typo.Makoto Fukuhara2015-02-231-1/+1
| | | | | | | | Author: Makoto Fukuhara <fukuo33@gmail.com> Closes #4724 from fukuo33/fix-typo and squashes the following commits: 8c806b9 [Makoto Fukuhara] fix typo.
* [MLlib] fix typoJacky Li2015-02-211-1/+1
| | | | | | | | | | fix typo: it should be "default:" instead of "default;" Author: Jacky Li <jackylk@users.noreply.github.com> Closes #4713 from jackylk/patch-10 and squashes the following commits: 15daf2e [Jacky Li] [MLlib] fix typo
* [SPARK-5867] [SPARK-5892] [doc] [ml] [mllib] Doc cleanups for 1.3 releaseJoseph K. Bradley2015-02-208-33/+35
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | For SPARK-5867: * The spark.ml programming guide needs to be updated to use the new SQL DataFrame API instead of the old SchemaRDD API. * It should also include Python examples now. For SPARK-5892: * Fix Python docs * Various other cleanups BTW, I accidentally merged this with master. If you want to compile it on your own, use this branch which is based on spark/branch-1.3 and cherry-picks the commits from this PR: [https://github.com/jkbradley/spark/tree/doc-review-1.3-check] CC: mengxr (ML), davies (Python docs) Author: Joseph K. Bradley <joseph@databricks.com> Closes #4675 from jkbradley/doc-review-1.3 and squashes the following commits: f191bb0 [Joseph K. Bradley] small cleanups e786efa [Joseph K. Bradley] small doc corrections 6b1ab4a [Joseph K. Bradley] fixed python lint test 946affa [Joseph K. Bradley] Added sample data for ml.MovieLensALS example. Changed spark.ml Java examples to use DataFrames API instead of sql() da81558 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into doc-review-1.3 629dbf5 [Joseph K. Bradley] Updated based on code review: * made new page for old migration guides * small fixes * moved inherit_doc in python b9df7c4 [Joseph K. Bradley] Small cleanups: toDF to toDF(), adding s for string interpolation 34b067f [Joseph K. Bradley] small doc correction da16aef [Joseph K. Bradley] Fixed python mllib docs 8cce91c [Joseph K. Bradley] GMM: removed old imports, added some doc 695f3f6 [Joseph K. Bradley] partly done trying to fix inherit_doc for class hierarchies in python docs a72c018 [Joseph K. Bradley] made ChiSqTestResult appear in python docs b05a80d [Joseph K. Bradley] organize imports. doc cleanups e572827 [Joseph K. Bradley] updated programming guide for ml and mllib
* [SPARK-5900][MLLIB] make PIC and FPGrowth Java-friendlyXiangrui Meng2015-02-194-16/+9
| | | | | | | | | | | | | | | | | | | In the previous version, PIC stores clustering assignments as an `RDD[(Long, Int)]`. This is mapped to `RDD<Tuple2<Object, Object>>` in Java and hence Java users have to cast types manually. We should either create a new method called `javaAssignments` that returns `JavaRDD[(java.lang.Long, java.lang.Int)]` or wrap the result pair in a class. I chose the latter approach in this PR. Now assignments are stored as an `RDD[Assignment]`, where `Assignment` is a class with `id` and `cluster`. Similarly, in FPGrowth, the frequent itemsets are stored as an `RDD[(Array[Item], Long)]`, which is mapped to `RDD<Tuple2<Object, Object>>`. Though we provide a "Java-friendly" method `javaFreqItemsets` that returns `JavaRDD[(Array[Item], java.lang.Long)]`. It doesn't really work because `Array[Item]` is mapped to `Object` in Java. So in this PR I created a class `FreqItemset` to wrap the results. It has `items` and `freq`, as well as a `javaItems` method that returns `List<Item>` in Java. I'm not certain that the names I chose are proper: `Assignment`/`id`/`cluster` and `FreqItemset`/`items`/`freq`. Please let me know if there are better suggestions. CC: jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #4695 from mengxr/SPARK-5900 and squashes the following commits: 865b5ca [Xiangrui Meng] make Assignment serializable cffa96e [Xiangrui Meng] fix test 9c0e590 [Xiangrui Meng] remove unused Tuple2 1b9db3d [Xiangrui Meng] make PIC and FPGrowth Java-friendly
* [SPARK-5879][MLLIB] update PIC user guide and add a Java exampleXiangrui Meng2015-02-181-0/+58
| | | | | | | | | | | | Updated PIC user guide to reflect API changes and added a simple Java example. The API is still not very Java-friendly. I created SPARK-5990 for this issue. Author: Xiangrui Meng <meng@databricks.com> Closes #4680 from mengxr/SPARK-5897 and squashes the following commits: 847d216 [Xiangrui Meng] apache header 87719a2 [Xiangrui Meng] remove PIC image 2dd921f [Xiangrui Meng] update PIC user guide and add a Java example
* [SPARK-5519][MLLIB] add user guide with example code for fp-growthXiangrui Meng2015-02-182-0/+114
| | | | | | | | | | The API is still not very Java-friendly because `Array[Item]` in `freqItemsets` is recognized as `Object` in Java. We might want to define a case class to wrap the return pair to make it Java friendly. Author: Xiangrui Meng <meng@databricks.com> Closes #4661 from mengxr/SPARK-5519 and squashes the following commits: 58ccc25 [Xiangrui Meng] add user guide with example code for fp-growth
* [Minor] [SQL] Cleans up DataFrame variable names and toDF() callsCheng Lian2015-02-178-14/+14
| | | | | | | | | | | | | | Although we've migrated to the DataFrame API, lots of code still uses `rdd` or `srdd` as local variable names. This PR tries to address these naming inconsistencies and some other minor DataFrame related style issues. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/4670) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #4670 from liancheng/df-cleanup and squashes the following commits: 3e14448 [Cheng Lian] Cleans up DataFrame variable names and toDF() calls
* [SPARK-4172] [PySpark] Progress API in PythonDavies Liu2015-02-171-0/+67
| | | | | | | | | | | | | | | | | This patch bring the pull based progress API into Python, also a example in Python. Author: Davies Liu <davies@databricks.com> Closes #3027 from davies/progress_api and squashes the following commits: b1ba984 [Davies Liu] fix style d3b9253 [Davies Liu] add tests, mute the exception after stop 4297327 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api 969fa9d [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api 25590c9 [Davies Liu] update with Java API 360de2d [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api c0f1021 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress_api 023afb3 [Davies Liu] add Python API and example for progress API
* [SPARK-5769] Set params in constructors and in setParams in Python ML pipelinesXiangrui Meng2015-02-151-27/+17
| | | | | | | | | | | | | | | | | | | | | | This PR allow Python users to set params in constructors and in setParams, where we use decorator `keyword_only` to force keyword arguments. The trade-off is discussed in the design doc of SPARK-4586. Generated doc: ![screen shot 2015-02-12 at 3 06 58 am](https://cloud.githubusercontent.com/assets/829644/6166491/9cfcd06a-b265-11e4-99ea-473d866634fc.png) CC: davies rxin Author: Xiangrui Meng <meng@databricks.com> Closes #4564 from mengxr/py-pipeline-kw and squashes the following commits: fedf720 [Xiangrui Meng] use toDF d565f2c [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into py-pipeline-kw cbc15d3 [Xiangrui Meng] fix style 5032097 [Xiangrui Meng] update pipeline signature 950774e [Xiangrui Meng] simplify keyword_only and update constructor/setParams signatures fdde5fc [Xiangrui Meng] fix style c9384b8 [Xiangrui Meng] fix sphinx doc 8e59180 [Xiangrui Meng] add setParams and make constructors take params, where we force keyword args
* Revise formatting of previous commit f80e2629bb74bc62960c61ff313f7e7802d61319Sean Owen2015-02-141-18/+18
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* [SPARK-5800] Streaming Docs. Change linked files according the selected languagegasparms2015-02-141-0/+115
| | | | | | | | | | | | | | | | | Currently, Spark Streaming Programming Guide after updateStateByKey explanation links to file stateful_network_wordcount.py and note "For the complete Scala code ..." for any language tab selected. This is an incoherence. I've changed the guide and link its pertinent example file. JavaStatefulNetworkWordCount.java example was not created so I added to the commit. Author: gasparms <gmunoz@stratio.com> Closes #4589 from gasparms/feature/streaming-guide and squashes the following commits: 7f37f89 [gasparms] More style changes ec202b0 [gasparms] Follow spark style guide f527328 [gasparms] Improve example to look like scala example 4d8785c [gasparms] Remove throw exception e92e6b8 [gasparms] Fix incoherence 92db405 [gasparms] Fix Streaming Programming Guide. Change files according the selected language
* [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFramesReynold Xin2015-02-138-22/+22
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - The old implicit would convert RDDs directly to DataFrames, and that added too many methods. - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed Python changes: - toDataFrame -> toDF - Dsl -> functions package - addColumn -> withColumn - renameColumn -> withColumnRenamed - add toDF functions to RDD on SQLContext init - add flatMap to DataFrame Author: Reynold Xin <rxin@databricks.com> Author: Davies Liu <davies@databricks.com> Closes #4556 from rxin/SPARK-5752 and squashes the following commits: 5ef9910 [Reynold Xin] More fix 61d3fca [Reynold Xin] Merge branch 'df5' of github.com:davies/spark into SPARK-5752 ff5832c [Reynold Xin] Fix python 749c675 [Reynold Xin] count(*) fixes. 5806df0 [Reynold Xin] Fix build break again. d941f3d [Reynold Xin] Fixed explode compilation break. fe1267a [Davies Liu] flatMap c4afb8e [Reynold Xin] style d9de47f [Davies Liu] add comment b783994 [Davies Liu] add comment for toDF e2154e5 [Davies Liu] schema() -> schema 3a1004f [Davies Liu] Dsl -> functions, toDF() fb256af [Reynold Xin] - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed 0dd74eb [Reynold Xin] [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames 97dd47c [Davies Liu] fix mistake 6168f74 [Davies Liu] fix test 1fc0199 [Davies Liu] fix test a075cd5 [Davies Liu] clean up, toPandas 663d314 [Davies Liu] add test for agg('*') 9e214d5 [Reynold Xin] count(*) fixes. 1ed7136 [Reynold Xin] Fix build break again. 921b2e3 [Reynold Xin] Fixed explode compilation break. 14698d4 [Davies Liu] flatMap ba3e12d [Reynold Xin] style d08c92d [Davies Liu] add comment 5c8b524 [Davies Liu] add comment for toDF a4e5e66 [Davies Liu] schema() -> schema d377fc9 [Davies Liu] Dsl -> functions, toDF() 6b3086c [Reynold Xin] - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed 807e8b1 [Reynold Xin] [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames
* [SPARK-5503][MLLIB] Example code for Power Iteration Clusteringsboeschhuawei2015-02-131-0/+160
| | | | | | | | | | | | | | | | | Author: sboeschhuawei <stephen.boesch@huawei.com> Closes #4495 from javadba/picexamples and squashes the following commits: 3c84b14 [sboeschhuawei] PIC Examples updates from Xiangrui's comments round 5 2878675 [sboeschhuawei] Fourth round with xiangrui on PICExample d7ac350 [sboeschhuawei] Updates to PICExample from Xiangrui's comments round 3 d7f0cba [sboeschhuawei] Updates to PICExample from Xiangrui's comments round 3 cef28f4 [sboeschhuawei] Further updates to PICExample from Xiangrui's comments f7ff43d [sboeschhuawei] Update to PICExample from Xiangrui's comments efeec45 [sboeschhuawei] Update to PICExample from Xiangrui's comments 03e8de4 [sboeschhuawei] Added PICExample c509130 [sboeschhuawei] placeholder for pic examples 5864d4a [sboeschhuawei] placeholder for pic examples
* [SPARK-5704] [SQL] [PySpark] createDataFrame from RDD with columnsDavies Liu2015-02-106-11/+11
| | | | | | | | | | | | | Deprecate inferSchema() and applySchema(), use createDataFrame() instead, which could take an optional `schema` to create an DataFrame from an RDD. The `schema` could be StructType or list of names of columns. Author: Davies Liu <davies@databricks.com> Closes #4498 from davies/create and squashes the following commits: 08469c1 [Davies Liu] remove Scala/Java API for now c80a7a9 [Davies Liu] fix hive test d1bd8f2 [Davies Liu] cleanup applySchema 9526e97 [Davies Liu] createDataFrame from RDD with columns
* [Spark-5717] [MLlib] add stop and reorganize importJqueryFan2015-02-102-1/+2
| | | | | | | | | | | | | Trivial. add sc stop and reorganize import https://issues.apache.org/jira/browse/SPARK-5717 Author: JqueryFan <firing@126.com> Author: Yuhao Yang <hhbyyh@gmail.com> Closes #4503 from hhbyyh/scstop and squashes the following commits: 7837a2c [JqueryFan] revert import change 2e85cc1 [Yuhao Yang] add stop and reorganize import
* [SPARK-4964][Streaming][Kafka] More updates to Exactly-once Kafka streamTathagata Das2015-02-092-0/+184
| | | | | | | | | | | | | | | | | | | | | | | Changes - Added example - Added a critical unit test that verifies that offset ranges can be recovered through checkpoints Might add more changes. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #4384 from tdas/new-kafka-fixes and squashes the following commits: 7c931c3 [Tathagata Das] Small update 3ed9284 [Tathagata Das] updated scala doc 83d0402 [Tathagata Das] Added JavaDirectKafkaWordCount example. 26df23c [Tathagata Das] Updates based on PR comments from Cody e4abf69 [Tathagata Das] Scala doc improvements and stuff. bb65232 [Tathagata Das] Fixed test bug and refactored KafkaStreamSuite 50f2b56 [Tathagata Das] Added Java API and added more Scala and Java unit tests. Also updated docs. e73589c [Tathagata Das] Minor changes. 4986784 [Tathagata Das] Added unit test to kafka offset recovery 6a91cab [Tathagata Das] Added example
* [SPARK-5539][MLLIB] LDA guideXiangrui Meng2015-02-081-0/+75
| | | | | | | | | | | | | | This is the LDA user guide from jkbradley with Java and Scala code example. Author: Xiangrui Meng <meng@databricks.com> Author: Joseph K. Bradley <joseph@databricks.com> Closes #4465 from mengxr/lda-guide and squashes the following commits: 6dcb7d1 [Xiangrui Meng] update java example in the user guide 76169ff [Xiangrui Meng] update java example 36c3ae2 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into lda-guide c2a1efe [Joseph K. Bradley] Added LDA programming guide, plus Java example (which is in the guide and probably should be removed).
* [HOTFIX][MLLIB] fix a compilation error with java 6Xiangrui Meng2015-02-061-2/+2
| | | | | | | | Author: Xiangrui Meng <meng@databricks.com> Closes #4442 from mengxr/java6-fix and squashes the following commits: 2098500 [Xiangrui Meng] fix a compilation error with java 6
* [SPARK-4789] [SPARK-4942] [SPARK-5031] [mllib] Standardize ML Prediction APIsJoseph K. Bradley2015-02-058-21/+430
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This is part (1a) of the updates from the design doc in [https://docs.google.com/document/d/1BH9el33kBX8JiDdgUJXdLW14CA2qhTCWIG46eXZVoJs] **UPDATE**: Most of the APIs are being kept private[spark] to allow further discussion. Here is a list of changes which are public: * new output columns: rawPrediction, probabilities * The “score” column is now called “rawPrediction” * Classifiers now provide numClasses * Params.get and .set are now protected instead of private[ml]. * ParamMap now has a size method. * new classes: LinearRegression, LinearRegressionModel * LogisticRegression now has an intercept. ### Sketch of APIs (most of which are private[spark] for now) Abstract classes for learning algorithms (+ corresponding Model abstractions): * Classifier (+ ClassificationModel) * ProbabilisticClassifier (+ ProbabilisticClassificationModel) * Regressor (+ RegressionModel) * Predictor (+ PredictionModel) * *For all of these*: * There is no strongly typed training-time API. * There is a strongly typed test-time (prediction) API which helps developers implement new algorithms. Concrete classes: learning algorithms * LinearRegression * LogisticRegression (updated to use new abstract classes) * Also, removed "score" in favor of "probability" output column. Changed BinaryClassificationEvaluator to match. (SPARK-5031) Other updates: * params.scala: Changed Params.set/get to be protected instead of private[ml] * This was needed for the example of defining a class from outside of the MLlib namespace. * VectorUDT: Will later change from private[spark] to public. * This is needed for outside users to write their own validateAndTransformSchema() methods using vectors. * Also, added equals() method.f * SPARK-4942 : ML Transformers should allow output cols to be turned on,off * Update validateAndTransformSchema * Update transform * (Updated examples, test suites according to other changes) New examples: * DeveloperApiExample.scala (example of defining algorithm from outside of the MLlib namespace) * Added Java version too Test Suites: * LinearRegressionSuite * LogisticRegressionSuite * + Java versions of above suites CC: mengxr etrain shivaram Author: Joseph K. Bradley <joseph@databricks.com> Closes #3637 from jkbradley/ml-api-part1 and squashes the following commits: 405bfb8 [Joseph K. Bradley] Last edits based on code review. Small cleanups fec348a [Joseph K. Bradley] Added JavaDeveloperApiExample.java and fixed other issues: Made developer API private[spark] for now. Added constructors Java can understand to specialized Param types. 8316d5e [Joseph K. Bradley] fixes after rebasing on master fc62406 [Joseph K. Bradley] fixed test suites after last commit bcb9549 [Joseph K. Bradley] Fixed issues after rebasing from master (after move from SchemaRDD to DataFrame) 9872424 [Joseph K. Bradley] fixed JavaLinearRegressionSuite.java Java sql api f542997 [Joseph K. Bradley] Added MIMA excludes for VectorUDT (now public), and added DeveloperApi annotation to it 216d199 [Joseph K. Bradley] fixed after sql datatypes PR got merged f549e34 [Joseph K. Bradley] Updates based on code review. Major ones are: * Created weakly typed Predictor.train() method which is called by fit() so that developers do not have to call schema validation or copy parameters. * Made Predictor.featuresDataType have a default value of VectorUDT. * NOTE: This could be dangerous since the FeaturesType type parameter cannot have a default value. 343e7bd [Joseph K. Bradley] added blanket mima exclude for ml package 82f340b [Joseph K. Bradley] Fixed bug in LogisticRegression (introduced in this PR). Fixed Java suites 0a16da9 [Joseph K. Bradley] Fixed Linear/Logistic RegressionSuites c3c8da5 [Joseph K. Bradley] small cleanup 934f97b [Joseph K. Bradley] Fixed bugs from previous commit. 1c61723 [Joseph K. Bradley] * Made ProbabilisticClassificationModel into a subclass of ClassificationModel. Also introduced ProbabilisticClassifier. * This was to support output column “probabilityCol” in transform(). 4e2f711 [Joseph K. Bradley] rat fix bc654e1 [Joseph K. Bradley] Added spark.ml LinearRegressionSuite 8d13233 [Joseph K. Bradley] Added methods: * Classifier: batch predictRaw() * Predictor: train() without paramMap ProbabilisticClassificationModel.predictProbabilities() * Java versions of all above batch methods + others 1680905 [Joseph K. Bradley] Added JavaLabeledPointSuite.java for spark.ml, and added constructor to LabeledPoint which defaults weight to 1.0 adbe50a [Joseph K. Bradley] * fixed LinearRegression train() to use embedded paramMap * added Predictor.predict(RDD[Vector]) method * updated Linear/LogisticRegressionSuites 58802e3 [Joseph K. Bradley] added train() to Predictor subclasses which does not take a ParamMap. 57d54ab [Joseph K. Bradley] * Changed semantics of Predictor.train() to merge the given paramMap with the embedded paramMap. * remove threshold_internal from logreg * Added Predictor.copy() * Extended LogisticRegressionSuite e433872 [Joseph K. Bradley] Updated docs. Added LabeledPointSuite to spark.ml 54b7b31 [Joseph K. Bradley] Fixed issue with logreg threshold being set correctly 0617d61 [Joseph K. Bradley] Fixed bug from last commit (sorting paramMap by parameter names in toString). Fixed bug in persisting logreg data. Added threshold_internal to logreg for faster test-time prediction (avoiding map lookup). 601e792 [Joseph K. Bradley] Modified ParamMap to sort parameters in toString. Cleaned up classes in class hierarchy, before implementing tests and examples. d705e87 [Joseph K. Bradley] Added LinearRegression and Regressor back from ml-api branch 52f4fde [Joseph K. Bradley] removing everything except for simple class hierarchy for classification d35bb5d [Joseph K. Bradley] fixed compilation issues, but have not added tests yet bfade12 [Joseph K. Bradley] Added lots of classes for new ML API:
* [SPARK-5604][MLLIB] remove checkpointDir from treesXiangrui Meng2015-02-051-1/+2
| | | | | | | | | | This is the second part of SPARK-5604, which removes checkpointDir from tree strategies. Note that this is a break change. I will mention it in the migration guide. Author: Xiangrui Meng <meng@databricks.com> Closes #4407 from mengxr/SPARK-5604-1 and squashes the following commits: 13a276d [Xiangrui Meng] remove checkpointDir from trees
* [SPARK-5604[MLLIB] remove checkpointDir from LDAXiangrui Meng2015-02-051-1/+1
| | | | | | | | | | | | `checkpointDir` is a Spark global configuration. Users should set it outside LDA. This PR also hides some methods under `private[clustering] object LDA`, so they don't show up in the generated Java doc (SPARK-5610). jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #4390 from mengxr/SPARK-5604 and squashes the following commits: a34bb39 [Xiangrui Meng] remove checkpointDir from LDA
* [SPARK-5612][SQL] Move DataFrame implicit functions into SQLContext.implicits.Reynold Xin2015-02-047-17/+18
| | | | | | | | | | Author: Reynold Xin <rxin@databricks.com> Closes #4386 from rxin/df-implicits and squashes the following commits: 9d96606 [Reynold Xin] style fix edd296b [Reynold Xin] ReplSuite 1c946ab [Reynold Xin] [SPARK-5612][SQL] Move DataFrame implicit functions into SQLContext.implicits.
* [SPARK-1405] [mllib] Latent Dirichlet Allocation (LDA) using EMJoseph K. Bradley2015-02-021-0/+283
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | **This PR introduces an API + simple implementation for Latent Dirichlet Allocation (LDA).** The [design doc for this PR](https://docs.google.com/document/d/1kSsDqTeZMEB94Bs4GTd0mvdAmduvZSSkpoSfn-seAzo) has been updated since I initially posted it. In particular, see the API and Planning for the Future sections. * Settle on a public API which may eventually include: * more inference algorithms * more options / functionality * Have an initial easy-to-understand implementation which others may improve. * This is NOT intended to support every topic model out there. However, if there are suggestions for making this extensible or pluggable in the future, that could be nice, as long as it does not complicate the API or implementation too much. * This may not be very scalable currently. It will be important to check and improve accuracy. For correctness of the implementation, please check against the Asuncion et al. (2009) paper in the design doc. **Dependency: This makes MLlib depend on GraphX.** Files and classes: * LDA.scala (441 lines): * class LDA (main estimator class) * LDA.Document (text + document ID) * LDAModel.scala (266 lines) * abstract class LDAModel * class LocalLDAModel * class DistributedLDAModel * LDAExample.scala (245 lines): script to run LDA + a simple (private) Tokenizer * LDASuite.scala (144 lines) Data/model representation and algorithm: * Data/model: Uses GraphX, with term vertices + document vertices * Algorithm: EM, following [Asuncion, Welling, Smyth, and Teh. "On Smoothing and Inference for Topic Models." UAI, 2009.](http://arxiv-web3.library.cornell.edu/abs/1205.2662v1) * For more details, please see the description in the “DEVELOPERS NOTE” in LDA.scala Please refer to the JIRA for more discussion + the [design doc for this PR](https://docs.google.com/document/d/1kSsDqTeZMEB94Bs4GTd0mvdAmduvZSSkpoSfn-seAzo) Here, I list the main changes AFTER the design doc was posted. Design decisions: * logLikelihood() computes the log likelihood of the data and the current point estimate of parameters. This is different from the likelihood of the data given the hyperparameters, which would be harder to compute. I’d describe the current approach as more frequentist, whereas the harder approach would be more Bayesian. * The current API takes Documents as token count vectors. I believe there should be an extended API taking RDD[String] or RDD[Array[String]] in a future PR. I have sketched this out in the design doc (as well as handier versions of getTopics returning Strings). * Hyperparameters should be set differently for different inference/learning algorithms. See Asuncion et al. (2009) in the design doc for a good demonstration. I encourage good behavior via defaults and warning messages. Items planned for future PRs: * perplexity * API taking Strings * Should LDA be called LatentDirichletAllocation (and LDAModel be LatentDirichletAllocationModel)? * Pro: We may someday want LinearDiscriminantAnalysis. * Con: Very long names * Should LDA reside in clustering? Or do we want a sub-package? * mllib.topicmodel * mllib.clustering.topicmodel * Does the API seem reasonable and extensible? * Unit tests: * Should there be a test which checks a clustering results? E.g., train on a small, fake dataset with 2 very distinct topics/clusters, and ensure LDA finds those 2 topics/clusters. Does that sound useful or too flaky? This has not been tested much for scaling. I have run it on a laptop for 200 iterations on a 5MB dataset with 1000 terms and 5 topics. Running it for 500 iterations made it fail because of GC problems. I'm running larger scale tests & will put results here, but future PRs may need to improve the scaling. * dlwh for the initial implementation * + jegonzal for some code in the initial implementation * The many contributors towards topic model implementations in Spark which were referenced as a basis for this PR: akopich witgo yinxusen dlwh EntilZha jegonzal IlyaKozlov * Note: The plan is to include this full list in the authors if this PR gets merged. Please notify me if you prefer otherwise. CC: mengxr Authors: Joseph K. Bradley <joseph@databricks.com> Joseph Gonzalez <joseph.e.gonzalez@gmail.com> David Hall <david.lw.hall@gmail.com> Guoqiang Li <witgo@qq.com> Xiangrui Meng <meng@databricks.com> Pedro Rodriguez <pedro@snowgeek.org> Avanesov Valeriy <acopich@gmail.com> Xusen Yin <yinxusen@gmail.com> Closes #2388 Closes #4047 from jkbradley/davidhall-lda and squashes the following commits: 77e8814 [Joseph K. Bradley] small doc fix 5c74345 [Joseph K. Bradley] cleaned up doc based on code review 589728b [Joseph K. Bradley] Updates per code review. Main change was in LDAExample for faster vocab computation. Also updated PeriodicGraphCheckpointerSuite.scala to clean up checkpoint files at end e3980d2 [Joseph K. Bradley] cleaned up PeriodicGraphCheckpointerSuite.scala 74487e5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into davidhall-lda 4ae2a7d [Joseph K. Bradley] removed duplicate graphx dependency in mllib/pom.xml e391474 [Joseph K. Bradley] Removed LDATiming. Added PeriodicGraphCheckpointerSuite.scala. Small LDA cleanups. e8d8acf [Joseph K. Bradley] Added catch for BreakIterator exception. Improved preprocessing to reduce passes over data 1a231b4 [Joseph K. Bradley] fixed scalastyle 91aadfe [Joseph K. Bradley] Added Java-friendly run method to LDA. Added Java test suite for LDA. Changed LDAModel.describeTopics to return Java-friendly type b75472d [Joseph K. Bradley] merged improvements from LDATiming into LDAExample. Will remove LDATiming after done testing 993ca56 [Joseph K. Bradley] * Removed Document type in favor of (Long, Vector) * Changed doc ID restriction to be: id must be nonnegative and unique in the doc (instead of 0,1,2,...) * Add checks for valid ranges of eta, alpha * Rename “LearningState” to “EMOptimizer” * Renamed params: termSmoothing -> topicConcentration, topicSmoothing -> docConcentration * Also added aliases alpha, beta cb5a319 [Joseph K. Bradley] Added checkpointing to LDA * new class PeriodicGraphCheckpointer * params checkpointDir, checkpointInterval to LDA 43c1c40 [Joseph K. Bradley] small cleanup 0b90393 [Joseph K. Bradley] renamed LDA LearningState.collectTopicTotals to globalTopicTotals 77a2c85 [Joseph K. Bradley] Moved auto term,topic smoothing computation to get*Smoothing methods. Changed word to term in some places. Updated LDAExample to use default smoothing amounts. fb1e7b5 [Xiangrui Meng] minor 08d59a3 [Xiangrui Meng] reset spacing 9fe0b95 [Xiangrui Meng] optimize aggregateMessages cec0a9c [Xiangrui Meng] * -> *= 6cb11b0 [Xiangrui Meng] optimize computePTopic 9eb3d02 [Xiangrui Meng] + -> += 892530c [Xiangrui Meng] use axpy 45cc7f2 [Xiangrui Meng] mapPart -> flatMap ce53be9 [Joseph K. Bradley] fixed example name 75749e7 [Joseph K. Bradley] scala style fix 9f2a492 [Joseph K. Bradley] Unit tests and fixes for LDA, now ready for PR 377ebd9 [Joseph K. Bradley] separated LDA models into own file. more cleanups before PR 2d40006 [Joseph K. Bradley] cleanups before PR 2891e89 [Joseph K. Bradley] Prepped LDA main class for PR, but some cleanups remain 0cb7187 [Joseph K. Bradley] Added 3 files from dlwh LDA implementation
* [SPARK-5012][MLLib][PySpark]Python API for Gaussian Mixture ModelFlytxtRnD2015-02-021-0/+65
| | | | | | | | | | | | | | | | | | | | | | | | | | | Python API for the Gaussian Mixture Model clustering algorithm in MLLib. Author: FlytxtRnD <meethu.mathew@flytxt.com> Closes #4059 from FlytxtRnD/PythonGmmWrapper and squashes the following commits: c973ab3 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper 339b09c [FlytxtRnD] Added MultivariateGaussian namedtuple and Arraybuffer in trainGaussianMixture fa0a142 [FlytxtRnD] New line added d5b36ab [FlytxtRnD] Changed argument names to lowercase ac134f1 [FlytxtRnD] Merge branch 'PythonGmmWrapper' of https://github.com/FlytxtRnD/spark into PythonGmmWrapper 6671ea1 [FlytxtRnD] Added mllib/stat/distribution.py 3aee84b [FlytxtRnD] Fixed style issues 2e9f12a [FlytxtRnD] Added mllib/stat/distribution.py and fixed style issues b22532c [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper 2e14d82 [FlytxtRnD] Incorporate MultivariateGaussian instances in GaussianMixtureModel 05767c7 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper 3464d19 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper c1d4c71 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'origin/PythonGmmWrapper' into PythonGmmWrapper 426d130 [FlytxtRnD] Added random seed parameter 332bad1 [FlytxtRnD] Merge branch 'PythonGmmWrapper', remote-tracking branch 'upstream/master' into PythonGmmWrapper f82750b [FlytxtRnD] Fixed style issues 5c83825 [FlytxtRnD] Split input file with space delimiter fda60f3 [FlytxtRnD] Python API for Gaussian Mixture Model
* [SPARK-4979][MLLIB] Streaming logisitic regressionfreeman2015-02-022-2/+74
| | | | | | | | | | | | | | | | | | | | | | | | | | | This adds support for streaming logistic regression with stochastic gradient descent, in the same manner as the existing implementation of streaming linear regression. It is a relatively simple addition because most of the work is already done by the abstract class `StreamingLinearAlgorithm` and existing algorithms and models from MLlib. The PR includes - Streaming Logistic Regression algorithm - Unit tests for accuracy, streaming convergence, and streaming prediction - An example use cc mengxr tdas Author: freeman <the.freeman.lab@gmail.com> Closes #4306 from freeman-lab/streaming-logisitic-regression and squashes the following commits: 5c2c70b [freeman] Use Option on model 5cca2bc [freeman] Merge remote-tracking branch 'upstream/master' into streaming-logisitic-regression 275f8bd [freeman] Make private to mllib 3926e4e [freeman] Line formatting 5ee8694 [freeman] Experimental tag for docs 2fc68ac [freeman] Fix example formatting 85320b1 [freeman] Fixed line length d88f717 [freeman] Remove stray comment 59d7ecb [freeman] Add streaming logistic regression e78fe28 [freeman] Add streaming logistic regression example 321cc66 [freeman] Set private and protected within mllib
* [SPARK-5154] [PySpark] [Streaming] Kafka streaming support in PythonDavies Liu2015-02-021-0/+54
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR brings the Python API for Spark Streaming Kafka data source. ``` class KafkaUtils(__builtin__.object) | Static methods defined here: | | createStream(ssc, zkQuorum, groupId, topics, storageLevel=StorageLevel(True, True, False, False, 2), keyDecoder=<function utf8_decoder>, valueDecoder=<function utf8_decoder>) | Create an input stream that pulls messages from a Kafka Broker. | | :param ssc: StreamingContext object | :param zkQuorum: Zookeeper quorum (hostname:port,hostname:port,..). | :param groupId: The group id for this consumer. | :param topics: Dict of (topic_name -> numPartitions) to consume. | Each partition is consumed in its own thread. | :param storageLevel: RDD storage level. | :param keyDecoder: A function used to decode key | :param valueDecoder: A function used to decode value | :return: A DStream object ``` run the example: ``` bin/spark-submit --driver-class-path external/kafka-assembly/target/scala-*/spark-streaming-kafka-assembly-*.jar examples/src/main/python/streaming/kafka_wordcount.py localhost:2181 test ``` Author: Davies Liu <davies@databricks.com> Author: Tathagata Das <tdas@databricks.com> Closes #3715 from davies/kafka and squashes the following commits: d93bfe0 [Davies Liu] Update make-distribution.sh 4280d04 [Davies Liu] address comments e6d0427 [Davies Liu] Merge branch 'master' of github.com:apache/spark into kafka f257071 [Davies Liu] add tests for null in RDD 23b039a [Davies Liu] address comments 9af51c4 [Davies Liu] Merge branch 'kafka' of github.com:davies/spark into kafka a74da87 [Davies Liu] address comments dc1eed0 [Davies Liu] Update kafka_wordcount.py 31e2317 [Davies Liu] Update kafka_wordcount.py 370ba61 [Davies Liu] Update kafka.py 97386b3 [Davies Liu] address comment 2c567a5 [Davies Liu] update logging and comment 33730d1 [Davies Liu] Merge branch 'master' of github.com:apache/spark into kafka adeeb38 [Davies Liu] Merge pull request #3 from tdas/kafka-python-api aea8953 [Tathagata Das] Kafka-assembly for Python API eea16a7 [Davies Liu] refactor f6ce899 [Davies Liu] add example and fix bugs 98c8d17 [Davies Liu] fix python style 5697a01 [Davies Liu] bypass decoder in scala 048dbe6 [Davies Liu] fix python style 75d485e [Davies Liu] add mqtt 07923c4 [Davies Liu] support kafka in Python
* SPARK-5425: Use synchronised methods in system properties to create SparkConfJacek Lewandowski2015-02-021-1/+3
| | | | | | | | | | | | | | | | | | | SPARK-5425: Fixed usages of system properties This patch fixes few problems caused by the fact that the Scala wrapper over system properties is not thread-safe and is basically invalid because it doesn't take into account the default values which could have been set in the properties object. The problem is fixed by modifying `Utils.getSystemProperties` method so that it uses `stringPropertyNames` method of the `Properties` class, which is thread-safe (internally it creates a defensive copy in a synchronized method) and returns keys of the properties which were set explicitly and which are defined as defaults. The other related problem, which is fixed here. was in `ResetSystemProperties` mix-in. It created a copy of the system properties in the wrong way. This patch also introduces a test case for thread-safeness of SparkConf creation. Refer to the discussion in https://github.com/apache/spark/pull/4220 for more details. Author: Jacek Lewandowski <lewandowski.jacek@gmail.com> Closes #4222 from jacek-lewandowski/SPARK-5425-1.3 and squashes the following commits: 03da61b [Jacek Lewandowski] SPARK-5425: Modified Utils.getSystemProperties to return a map of all system properties - explicit + defaults 8faf2ea [Jacek Lewandowski] SPARK-5425: Use SerializationUtils to save properties in ResetSystemProperties trait 71aa572 [Jacek Lewandowski] SPARK-5425: Use synchronised methods in system properties to create SparkConf
* SPARK-5400 [MLlib] Changed name of GaussianMixtureEM to GaussianMixtureTravis Galoppo2015-01-301-4/+4
| | | | | | | | | | | Decoupling the model and the algorithm Author: Travis Galoppo <tjg2107@columbia.edu> Closes #4290 from tgaloppo/spark-5400 and squashes the following commits: 9c1534c [Travis Galoppo] Fixed invokation instructions in comments d848076 [Travis Galoppo] SPARK-5400 Changed name of GaussianMixtureEM to GaussianMixture to separate model from algorithm
* [SPARK-5094][MLlib] Add Python API for Gradient Boosted TreesKazuki Taniguchi2015-01-301-0/+76
| | | | | | | | | | This PR is implementing the Gradient Boosted Trees for Python API. Author: Kazuki Taniguchi <kazuki.t.1018@gmail.com> Closes #3951 from kazk1018/gbt_for_py and squashes the following commits: 620d247 [Kazuki Taniguchi] [SPARK-5094][MLlib] Add Python API for Gradient Boosted Trees
* [SPARK-5445][SQL] Consolidate Java and Scala DSL static methods.Reynold Xin2015-01-291-1/+1
| | | | | | | | | | | Turns out Scala does generate static methods for ones defined in a companion object. Finally no need to separate api.java.dsl and api.scala.dsl. Author: Reynold Xin <rxin@databricks.com> Closes #4276 from rxin/dsl and squashes the following commits: 30aa611 [Reynold Xin] Add all files. 1a9d215 [Reynold Xin] [SPARK-5445][SQL] Consolidate Java and Scala DSL static methods.
* [SPARK-5445][SQL] Made DataFrame dsl usable in JavaReynold Xin2015-01-281-2/+1
| | | | | | | | | | | | | | | | | Also removed the literal implicit transformation since it is pretty scary for API design. Instead, created a new lit method for creating literals. This doesn't break anything from a compatibility perspective because Literal was added two days ago. Author: Reynold Xin <rxin@databricks.com> Closes #4241 from rxin/df-docupdate and squashes the following commits: c0f4810 [Reynold Xin] Fix Python merge conflict. 094c7d7 [Reynold Xin] Minor style fix. Reset Python tests. 3c89f4a [Reynold Xin] Package. dfe6962 [Reynold Xin] Updated Python aggregate. 5dd4265 [Reynold Xin] Made dsl Java callable. 14b3c27 [Reynold Xin] Fix literal expression for symbols. 68b31cb [Reynold Xin] Literal. 4cfeb78 [Reynold Xin] [SPARK-5097][SQL] Address DataFrame code review feedback.
* [SPARK-4586][MLLIB] Python API for ML pipeline and parametersXiangrui Meng2015-01-281-0/+79
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR adds Python API for ML pipeline and parameters. The design doc can be found on the JIRA page. It includes transformers and an estimator to demo the simple text classification example code. TODO: - [x] handle parameters in LRModel - [x] unit tests - [x] missing some docs CC: davies jkbradley Author: Xiangrui Meng <meng@databricks.com> Author: Davies Liu <davies@databricks.com> Closes #4151 from mengxr/SPARK-4586 and squashes the following commits: 415268e [Xiangrui Meng] remove inherit_doc from __init__ edbd6fe [Xiangrui Meng] move Identifiable to ml.util 44c2405 [Xiangrui Meng] Merge pull request #2 from davies/ml dd1256b [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4586 14ae7e2 [Davies Liu] fix docs 54ca7df [Davies Liu] fix tests 78638df [Davies Liu] Merge branch 'SPARK-4586' of github.com:mengxr/spark into ml fc59a02 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4586 1dca16a [Davies Liu] refactor 090b3a3 [Davies Liu] Merge branch 'master' of github.com:apache/spark into ml 0882513 [Xiangrui Meng] update doc style a4f4dbf [Xiangrui Meng] add unit test for LR 7521d1c [Xiangrui Meng] add unit tests to HashingTF and Tokenizer ba0ba1e [Xiangrui Meng] add unit tests for pipeline 0586c7b [Xiangrui Meng] add more comments to the example 5153cff [Xiangrui Meng] simplify java models 036ca04 [Xiangrui Meng] gen numFeatures 46fa147 [Xiangrui Meng] update mllib/pom.xml to include python files in the assembly 1dcc17e [Xiangrui Meng] update code gen and make param appear in the doc f66ba0c [Xiangrui Meng] make params a property d5efd34 [Xiangrui Meng] update doc conf and move embedded param map to instance attribute f4d0fe6 [Xiangrui Meng] use LabeledDocument and Document in example 05e3e40 [Xiangrui Meng] update example d3e8dbe [Xiangrui Meng] more docs optimize pipeline.fit impl 56de571 [Xiangrui Meng] fix style d0c5bb8 [Xiangrui Meng] a working copy bce72f4 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-4586 17ecfb9 [Xiangrui Meng] code gen for shared params d9ea77c [Xiangrui Meng] update doc c18dca1 [Xiangrui Meng] make the example working dadd84e [Xiangrui Meng] add base classes and docs a3015cf [Xiangrui Meng] add Estimator and Transformer 46eea43 [Xiangrui Meng] a pipeline in python 33b68e0 [Xiangrui Meng] a working LR
* [SPARK-5447][SQL] Replaced reference to SchemaRDD with DataFrame.Reynold Xin2015-01-281-1/+1
| | | | | | | | | | | | | | and [SPARK-5448][SQL] Make CacheManager a concrete class and field in SQLContext Author: Reynold Xin <rxin@databricks.com> Closes #4242 from rxin/sqlCleanup and squashes the following commits: e351cb2 [Reynold Xin] Fixed toDataFrame. 6545c42 [Reynold Xin] More changes. 728c017 [Reynold Xin] [SPARK-5447][SQL] Replaced reference to SchemaRDD with DataFrame.
* [SPARK-4809] Rework Guava library shading.Marcelo Vanzin2015-01-281-69/+34
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The current way of shading Guava is a little problematic. Code that depends on "spark-core" does not see the transitive dependency, yet classes in "spark-core" actually depend on Guava. So it's a little tricky to run unit tests that use spark-core classes, since you need a compatible version of Guava in your dependencies when running the tests. This can become a little tricky, and is kind of a bad user experience. This change modifies the way Guava is shaded so that it's applied uniformly across the Spark build. This means Guava is shaded inside spark-core itself, so that the dependency issues above are solved. Aside from that, all Spark sub-modules have their Guava references relocated, so that they refer to the relocated classes now packaged inside spark-core. Before, this was only done by the time the assembly was built, so projects that did not end up inside the assembly (such as streaming backends) could still reference the original location of Guava classes. The Guava classes are added to the "first" artifact Spark generates (network-common), so that all downstream modules have the needed classes available. Since "network-common" is a dependency of spark-core, all Spark apps should get the relocated classes automatically. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #3658 from vanzin/SPARK-4809 and squashes the following commits: 3c93e42 [Marcelo Vanzin] Shade Guava in the network-common artifact. 5d69ec9 [Marcelo Vanzin] Merge branch 'master' into SPARK-4809 b3104fc [Marcelo Vanzin] Add comment. 941848f [Marcelo Vanzin] Merge branch 'master' into SPARK-4809 f78c48a [Marcelo Vanzin] Merge branch 'master' into SPARK-4809 8053dd4 [Marcelo Vanzin] Merge branch 'master' into SPARK-4809 107d7da [Marcelo Vanzin] Add fix for SPARK-5052 (PR #3874). 40b8723 [Marcelo Vanzin] Merge branch 'master' into SPARK-4809 4a4ed42 [Marcelo Vanzin] [SPARK-4809] Rework Guava library shading.
* [SPARK-5097][SQL] DataFrameReynold Xin2015-01-2712-67/+66
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This pull request redesigns the existing Spark SQL dsl, which already provides data frame like functionalities. TODOs: With the exception of Python support, other tasks can be done in separate, follow-up PRs. - [ ] Audit of the API - [ ] Documentation - [ ] More test cases to cover the new API - [x] Python support - [ ] Type alias SchemaRDD Author: Reynold Xin <rxin@databricks.com> Author: Davies Liu <davies@databricks.com> Closes #4173 from rxin/df1 and squashes the following commits: 0a1a73b [Reynold Xin] Merge branch 'df1' of github.com:rxin/spark into df1 23b4427 [Reynold Xin] Mima. 828f70d [Reynold Xin] Merge pull request #7 from davies/df 257b9e6 [Davies Liu] add repartition 6bf2b73 [Davies Liu] fix collect with UDT and tests e971078 [Reynold Xin] Missing quotes. b9306b4 [Reynold Xin] Remove removeColumn/updateColumn for now. a728bf2 [Reynold Xin] Example rename. e8aa3d3 [Reynold Xin] groupby -> groupBy. 9662c9e [Davies Liu] improve DataFrame Python API 4ae51ea [Davies Liu] python API for dataframe 1e5e454 [Reynold Xin] Fixed a bug with symbol conversion. 2ca74db [Reynold Xin] Couple minor fixes. ea98ea1 [Reynold Xin] Documentation & literal expressions. 2b22684 [Reynold Xin] Got rid of IntelliJ problems. 02bbfbc [Reynold Xin] Tightening imports. ffbce66 [Reynold Xin] Fixed compilation error. 59b6d8b [Reynold Xin] Style violation. b85edfb [Reynold Xin] ALS. 8c37f0a [Reynold Xin] Made MLlib and examples compile 6d53134 [Reynold Xin] Hive module. d35efd5 [Reynold Xin] Fixed compilation error. ce4a5d2 [Reynold Xin] Fixed test cases in SQL except ParquetIOSuite. 66d5ef1 [Reynold Xin] SQLContext minor patch. c9bcdc0 [Reynold Xin] Checkpoint: SQL module compiles!
* [SPARK-3541][MLLIB] New ALS implementation with improved storageXiangrui Meng2015-01-221-0/+174
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR adds a new ALS implementation to `spark.ml` using the pipeline API, which should be able to scale to billions of ratings. Compared with the ALS under `spark.mllib`, the new implementation 1. uses the same algorithm, 2. uses float type for ratings, 3. uses primitive arrays to avoid GC, 4. sorts and compresses ratings on each block so that we can solve least squares subproblems one by one using only one normal equation instance. The following figure shows performance comparison on copies of the Amazon Reviews dataset using a 16-node (m3.2xlarge) EC2 cluster (the same setup as in http://databricks.com/blog/2014/07/23/scalable-collaborative-filtering-with-spark-mllib.html): ![als-wip](https://cloud.githubusercontent.com/assets/829644/5659447/4c4ff8e0-96c7-11e4-87a9-73c1c63d07f3.png) I keep the `spark.mllib`'s ALS untouched for easy comparison. If the new implementation works well, I'm going to match the features of the ALS under `spark.mllib` and then make it a wrapper of the new implementation, in a separate PR. TODO: - [X] Add unit tests for implicit preferences. Author: Xiangrui Meng <meng@databricks.com> Closes #3720 from mengxr/SPARK-3541 and squashes the following commits: 1b9e852 [Xiangrui Meng] fix compile 5129be9 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-3541 dd0d0e8 [Xiangrui Meng] simplify test code c627de3 [Xiangrui Meng] add tests for implicit feedback b84f41c [Xiangrui Meng] address comments a76da7b [Xiangrui Meng] update ALS tests 2a8deb3 [Xiangrui Meng] add some ALS tests 857e876 [Xiangrui Meng] add tests for rating block and encoded block d3c1ac4 [Xiangrui Meng] rename some classes for better code readability add more doc and comments 213d163 [Xiangrui Meng] org imports 771baf3 [Xiangrui Meng] chol doc update ca9ad9d [Xiangrui Meng] add unit tests for chol b4fd17c [Xiangrui Meng] add unit tests for NormalEquation d0f99d3 [Xiangrui Meng] add tests for LocalIndexEncoder 80b8e61 [Xiangrui Meng] fix imports 4937fd4 [Xiangrui Meng] update ALS example 56c253c [Xiangrui Meng] rename product to item bce8692 [Xiangrui Meng] doc for parameters and project the output columns 3f2d81a [Xiangrui Meng] add doc 1efaecf [Xiangrui Meng] add example code 8ae86b5 [Xiangrui Meng] add a working copy of the new ALS implementation
* [SPARK-5233][Streaming] Fix error replaying of WAL introduced bugjerryshao2015-01-221-1/+1
| | | | | | | | | | | | | Because of lacking of `BlockAllocationEvent` in WAL recovery, the dangled event will mix into the new batch, which will lead to the wrong result. Details can be seen in [SPARK-5233](https://issues.apache.org/jira/browse/SPARK-5233). Author: jerryshao <saisai.shao@intel.com> Closes #4032 from jerryshao/SPARK-5233 and squashes the following commits: f0b0c0b [jerryshao] Further address the comments a237c75 [jerryshao] Address the comments e356258 [jerryshao] Fix bug in unit test 558bdc3 [jerryshao] Correctly replay the WAL log when recovering from failure
* SPARK-5019 [MLlib] - GaussianMixtureModel exposes instances of ↵Travis Galoppo2015-01-201-1/+1
| | | | | | | | | | | | | MultivariateGauss... This PR modifies GaussianMixtureModel to expose instances of MutlivariateGaussian rather than separate mean and covariance arrays. Author: Travis Galoppo <tjg2107@columbia.edu> Closes #4088 from tgaloppo/spark-5019 and squashes the following commits: 3ef6c7f [Travis Galoppo] In GaussianMixtureModel: Changed name of weight, gaussian to weights, gaussians. Other sources modified accordingly. 091e8da [Travis Galoppo] SPARK-5019 - GaussianMixtureModel exposes instances of MultivariateGaussian rather than mean/covariance matrices
* [SPARK-5193][SQL] Remove Spark SQL Java-specific API.Reynold Xin2015-01-164-40/+38
| | | | | | | | | | | | | | | | | | | | | | | | | After the following patches, the main (Scala) API is now usable for Java users directly. https://github.com/apache/spark/pull/4056 https://github.com/apache/spark/pull/4054 https://github.com/apache/spark/pull/4049 https://github.com/apache/spark/pull/4030 https://github.com/apache/spark/pull/3965 https://github.com/apache/spark/pull/3958 Author: Reynold Xin <rxin@databricks.com> Closes #4065 from rxin/sql-java-api and squashes the following commits: b1fd860 [Reynold Xin] Fix Mima 6d86578 [Reynold Xin] Ok one more attempt in fixing Python... e8f1455 [Reynold Xin] Fix Python again... 3e53f91 [Reynold Xin] Fixed Python. 83735da [Reynold Xin] Fix BigDecimal test. e9f1de3 [Reynold Xin] Use scala BigDecimal. 500d2c4 [Reynold Xin] Fix Decimal. ba3bfa2 [Reynold Xin] Updated javadoc for RowFactory. c4ae1c5 [Reynold Xin] [SPARK-5193][SQL] Remove Spark SQL Java-specific API.
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