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* [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.
* [SPARK-5234][ml]examples for ml don't have sparkContext.stopYuhao Yang2015-01-143-0/+6
| | | | | | | | | | | | JIRA issue: https://issues.apache.org/jira/browse/SPARK-5234 simply add the call. Author: Yuhao Yang <yuhao@yuhaodevbox.sh.intel.com> Closes #4044 from hhbyyh/addscStop and squashes the following commits: c1f75ac [Yuhao Yang] add SparkContext.stop to 3 ml examples
* SPARK-5172 [BUILD] spark-examples-***.jar shades a wrong Hadoop distributionSean Owen2015-01-121-23/+0
| | | | | | | | | | | | | | In addition to the `hadoop-2.x` profiles in the parent POM, there is actually another set of profiles in `examples` that has to be activated differently to get the right Hadoop 1 vs 2 flavor of HBase. This wasn't actually used in making Hadoop 2 distributions, hence the problem. To reduce complexity, I suggest merging them with the parent POM profiles, which is possible now. You'll see this changes appears to update the HBase version, but actually, the default 0.94 version was not being used. HBase is only used in examples, and the examples POM always chose one profile or the other that updated the version to 0.98.x anyway. Author: Sean Owen <sowen@cloudera.com> Closes #3992 from srowen/SPARK-5172 and squashes the following commits: 17830d9 [Sean Owen] Control hbase hadoop1/2 flavor in the parent POM with existing hadoop-2.x profiles
* [SPARK-4033][Examples]Input of the SparkPi too big causes the emption exceptionhuangzhaowei2015-01-111-2/+2
| | | | | | | | | | | | | | | If input of the SparkPi args is larger than the 25000, the integer 'n' inside the code will be overflow, and may be a negative number. And it causes the (0 until n) Seq as an empty seq, then doing the action 'reduce' will throw the UnsupportedOperationException("empty collection"). The max size of the input of sc.parallelize is Int.MaxValue - 1, not the Int.MaxValue. Author: huangzhaowei <carlmartinmax@gmail.com> Closes #2874 from SaintBacchus/SparkPi and squashes the following commits: 62d7cd7 [huangzhaowei] Add a commit to explain the modify 4cdc388 [huangzhaowei] Update SparkPi.scala 9a2fb7b [huangzhaowei] Input of the SparkPi is too big
* [SPARK-4048] Enhance and extend hadoop-provided profile.Marcelo Vanzin2015-01-081-162/+199
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This change does a few things to make the hadoop-provided profile more useful: - Create new profiles for other libraries / services that might be provided by the infrastructure - Simplify and fix the poms so that the profiles are only activated while building assemblies. - Fix tests so that they're able to run when the profiles are activated - Add a new env variable to be used by distributions that use these profiles to provide the runtime classpath for Spark jobs and daemons. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #2982 from vanzin/SPARK-4048 and squashes the following commits: 82eb688 [Marcelo Vanzin] Add a comment. eb228c0 [Marcelo Vanzin] Fix borked merge. 4e38f4e [Marcelo Vanzin] Merge branch 'master' into SPARK-4048 9ef79a3 [Marcelo Vanzin] Alternative way to propagate test classpath to child processes. 371ebee [Marcelo Vanzin] Review feedback. 52f366d [Marcelo Vanzin] Merge branch 'master' into SPARK-4048 83099fc [Marcelo Vanzin] Merge branch 'master' into SPARK-4048 7377e7b [Marcelo Vanzin] Merge branch 'master' into SPARK-4048 322f882 [Marcelo Vanzin] Fix merge fail. f24e9e7 [Marcelo Vanzin] Merge branch 'master' into SPARK-4048 8b00b6a [Marcelo Vanzin] Merge branch 'master' into SPARK-4048 9640503 [Marcelo Vanzin] Cleanup child process log message. 115fde5 [Marcelo Vanzin] Simplify a comment (and make it consistent with another pom). e3ab2da [Marcelo Vanzin] Fix hive-thriftserver profile. 7820d58 [Marcelo Vanzin] Fix CliSuite with provided profiles. 1be73d4 [Marcelo Vanzin] Restore flume-provided profile. d1399ed [Marcelo Vanzin] Restore jetty dependency. 82a54b9 [Marcelo Vanzin] Remove unused profile. 5c54a25 [Marcelo Vanzin] Fix HiveThriftServer2Suite with *-provided profiles. 1fc4d0b [Marcelo Vanzin] Update dependencies for hive-thriftserver. f7b3bbe [Marcelo Vanzin] Add snappy to hadoop-provided list. 9e4e001 [Marcelo Vanzin] Remove duplicate hive profile. d928d62 [Marcelo Vanzin] Redirect child stderr to parent's log. 4d67469 [Marcelo Vanzin] Propagate SPARK_DIST_CLASSPATH on Yarn. 417d90e [Marcelo Vanzin] Introduce "SPARK_DIST_CLASSPATH". 2f95f0d [Marcelo Vanzin] Propagate classpath to child processes during testing. 1adf91c [Marcelo Vanzin] Re-enable maven-install-plugin for a few projects. 284dda6 [Marcelo Vanzin] Rework the "hadoop-provided" profile, add new ones.
* SPARK-4159 [CORE] Maven build doesn't run JUnit test suitesSean Owen2015-01-061-5/+0
| | | | | | | | | | | | | | | | | | This PR: - Reenables `surefire`, and copies config from `scalatest` (which is itself an old fork of `surefire`, so similar) - Tells `surefire` to test only Java tests - Enables `surefire` and `scalatest` for all children, and in turn eliminates some duplication. For me this causes the Scala and Java tests to be run once each, it seems, as desired. It doesn't affect the SBT build but works for Maven. I still need to verify that all of the Scala tests and Java tests are being run. Author: Sean Owen <sowen@cloudera.com> Closes #3651 from srowen/SPARK-4159 and squashes the following commits: 2e8a0af [Sean Owen] Remove specialized SPARK_HOME setting for REPL, YARN tests as it appears to be obsolete 12e4558 [Sean Owen] Append to unit-test.log instead of overwriting, so that both surefire and scalatest output is preserved. Also standardize/correct comments a bit. e6f8601 [Sean Owen] Reenable Java tests by reenabling surefire with config cloned from scalatest; centralize test config in the parent
* [SPARK-1010] Clean up uses of System.setProperty in unit testsJosh Rosen2014-12-301-4/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Several of our tests call System.setProperty (or test code which implicitly sets system properties) and don't always reset/clear the modified properties, which can create ordering dependencies between tests and cause hard-to-diagnose failures. This patch removes most uses of System.setProperty from our tests, since in most cases we can use SparkConf to set these configurations (there are a few exceptions, including the tests of SparkConf itself). For the cases where we continue to use System.setProperty, this patch introduces a `ResetSystemProperties` ScalaTest mixin class which snapshots the system properties before individual tests and to automatically restores them on test completion / failure. See the block comment at the top of the ResetSystemProperties class for more details. Author: Josh Rosen <joshrosen@databricks.com> Closes #3739 from JoshRosen/cleanup-system-properties-in-tests and squashes the following commits: 0236d66 [Josh Rosen] Replace setProperty uses in two example programs / tools 3888fe3 [Josh Rosen] Remove setProperty use in LocalJavaStreamingContext 4f4031d [Josh Rosen] Add note on why SparkSubmitSuite needs ResetSystemProperties 4742a5b [Josh Rosen] Clarify ResetSystemProperties trait inheritance ordering. 0eaf0b6 [Josh Rosen] Remove setProperty call in TaskResultGetterSuite. 7a3d224 [Josh Rosen] Fix trait ordering 3fdb554 [Josh Rosen] Remove setProperty call in TaskSchedulerImplSuite bee20df [Josh Rosen] Remove setProperty calls in SparkContextSchedulerCreationSuite 655587c [Josh Rosen] Remove setProperty calls in JobCancellationSuite 3f2f955 [Josh Rosen] Remove System.setProperty calls in DistributedSuite cfe9cce [Josh Rosen] Remove use of system properties in SparkContextSuite 8783ab0 [Josh Rosen] Remove TestUtils.setSystemProperty, since it is subsumed by the ResetSystemProperties trait. 633a84a [Josh Rosen] Remove use of system properties in FileServerSuite 25bfce2 [Josh Rosen] Use ResetSystemProperties in UtilsSuite 1d1aa5a [Josh Rosen] Use ResetSystemProperties in SizeEstimatorSuite dd9492b [Josh Rosen] Use ResetSystemProperties in AkkaUtilsSuite b0daff2 [Josh Rosen] Use ResetSystemProperties in BlockManagerSuite e9ded62 [Josh Rosen] Use ResetSystemProperties in TaskSchedulerImplSuite 5b3cb54 [Josh Rosen] Use ResetSystemProperties in SparkListenerSuite 0995c4b [Josh Rosen] Use ResetSystemProperties in SparkContextSchedulerCreationSuite c83ded8 [Josh Rosen] Use ResetSystemProperties in SparkConfSuite 51aa870 [Josh Rosen] Use withSystemProperty in ShuffleSuite 60a63a1 [Josh Rosen] Use ResetSystemProperties in JobCancellationSuite 14a92e4 [Josh Rosen] Use withSystemProperty in FileServerSuite 628f46c [Josh Rosen] Use ResetSystemProperties in DistributedSuite 9e3e0dd [Josh Rosen] Add ResetSystemProperties test fixture mixin; use it in SparkSubmitSuite. 4dcea38 [Josh Rosen] Move withSystemProperty to TestUtils class.
* SPARK-4156 [MLLIB] EM algorithm for GMMsTravis Galoppo2014-12-291-0/+67
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Implementation of Expectation-Maximization for Gaussian Mixture Models. This is my maiden contribution to Apache Spark, so I apologize now if I have done anything incorrectly; having said that, this work is my own, and I offer it to the project under the project's open source license. Author: Travis Galoppo <tjg2107@columbia.edu> Author: Travis Galoppo <travis@localhost.localdomain> Author: tgaloppo <tjg2107@columbia.edu> Author: FlytxtRnD <meethu.mathew@flytxt.com> Closes #3022 from tgaloppo/master and squashes the following commits: aaa8f25 [Travis Galoppo] MLUtils: changed privacy of EPSILON from [util] to [mllib] 709e4bf [Travis Galoppo] fixed usage line to include optional maxIterations parameter acf1fba [Travis Galoppo] Fixed parameter comment in GaussianMixtureModel Made maximum iterations an optional parameter to DenseGmmEM 9b2fc2a [Travis Galoppo] Style improvements Changed ExpectationSum to a private class b97fe00 [Travis Galoppo] Minor fixes and tweaks. 1de73f3 [Travis Galoppo] Removed redundant array from array creation 578c2d1 [Travis Galoppo] Removed unused import 227ad66 [Travis Galoppo] Moved prediction methods into model class. 308c8ad [Travis Galoppo] Numerous changes to improve code cff73e0 [Travis Galoppo] Replaced accumulators with RDD.aggregate 20ebca1 [Travis Galoppo] Removed unusued code 42b2142 [Travis Galoppo] Added functionality to allow setting of GMM starting point. Added two cluster test to testing suite. 8b633f3 [Travis Galoppo] Style issue 9be2534 [Travis Galoppo] Style issue d695034 [Travis Galoppo] Fixed style issues c3b8ce0 [Travis Galoppo] Merge branch 'master' of https://github.com/tgaloppo/spark Adds predict() method 2df336b [Travis Galoppo] Fixed style issue b99ecc4 [tgaloppo] Merge pull request #1 from FlytxtRnD/predictBranch f407b4c [FlytxtRnD] Added predict() to return the cluster labels and membership values 97044cf [Travis Galoppo] Fixed style issues dc9c742 [Travis Galoppo] Moved MultivariateGaussian utility class e7d413b [Travis Galoppo] Moved multivariate Gaussian utility class to mllib/stat/impl Improved comments 9770261 [Travis Galoppo] Corrected a variety of style and naming issues. 8aaa17d [Travis Galoppo] Added additional train() method to companion object for cluster count and tolerance parameters. 676e523 [Travis Galoppo] Fixed to no longer ignore delta value provided on command line e6ea805 [Travis Galoppo] Merged with master branch; update test suite with latest context changes. Improved cluster initialization strategy. 86fb382 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' 719d8cc [Travis Galoppo] Added scala test suite with basic test c1a8e16 [Travis Galoppo] Made GaussianMixtureModel class serializable Modified sum function for better performance 5c96c57 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' c15405c [Travis Galoppo] SPARK-4156
* [SPARK-4608][Streaming] Reorganize StreamingContext implicit to improve API ↵zsxwing2014-12-2512-12/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | convenience There is only one implicit function `toPairDStreamFunctions` in `StreamingContext`. This PR did similar reorganization like [SPARK-4397](https://issues.apache.org/jira/browse/SPARK-4397). Compiled the following codes with Spark Streaming 1.1.0 and ran it with this PR. Everything is fine. ```Scala import org.apache.spark._ import org.apache.spark.streaming._ import org.apache.spark.streaming.StreamingContext._ object StreamingApp { def main(args: Array[String]) { val conf = new SparkConf().setMaster("local[2]").setAppName("FileWordCount") val ssc = new StreamingContext(conf, Seconds(10)) val lines = ssc.textFileStream("/some/path") val words = lines.flatMap(_.split(" ")) val pairs = words.map(word => (word, 1)) val wordCounts = pairs.reduceByKey(_ + _) wordCounts.print() ssc.start() ssc.awaitTermination() } } ``` Author: zsxwing <zsxwing@gmail.com> Closes #3464 from zsxwing/SPARK-4608 and squashes the following commits: aa6d44a [zsxwing] Fix a copy-paste error f74c190 [zsxwing] Merge branch 'master' into SPARK-4608 e6f9cc9 [zsxwing] Update the docs 27833bb [zsxwing] Remove `import StreamingContext._` c15162c [zsxwing] Reorganize StreamingContext implicit to improve API convenience
* [SPARK-4932] Add help comments in AnalyticsTakeshi Yamamuro2014-12-231-0/+4
| | | | | | | | | | Trivial modifications for usability. Author: Takeshi Yamamuro <linguin.m.s@gmail.com> Closes #3775 from maropu/AddHelpCommentInAnalytics and squashes the following commits: fbea8f5 [Takeshi Yamamuro] Add help comments in Analytics
* [Minor] Improve some code in BroadcastTest for shortcarlmartin2014-12-221-4/+1
| | | | | | | | | | | | | | | | | Using val arr1 = (0 until num).toArray instead of val arr1 = new Array[Int](num) for (i <- 0 until arr1.length) { arr1(i) = i } for short. Author: carlmartin <carlmartinmax@gmail.com> Closes #3750 from SaintBacchus/BroadcastTest and squashes the following commits: 43adb70 [carlmartin] Improve some code in BroadcastTest for short
* [SPARK-4880] remove spark.locality.wait in AnalyticsErnest2014-12-181-1/+1
| | | | | | | | | | | spark.locality.wait set to 100000 in examples/graphx/Analytics.scala. Should be left to the user. Author: Ernest <earneyzxl@gmail.com> Closes #3730 from Earne/SPARK-4880 and squashes the following commits: d79ed04 [Ernest] remove spark.locality.wait in Analytics
* [SPARK-4774] [SQL] Makes HiveFromSpark more portableKostas Sakellis2014-12-081-2/+11
| | | | | | | | | | | | HiveFromSpark read the kv1.txt file from SPARK_HOME/examples/src/main/resources/kv1.txt which assumed you had a source tree checked out. Now we copy the kv1.txt file to a temporary file and delete it when the jvm shuts down. This allows us to run this example outside of a spark source tree. Author: Kostas Sakellis <kostas@cloudera.com> Closes #3628 from ksakellis/kostas-spark-4774 and squashes the following commits: 6770f83 [Kostas Sakellis] [SPARK-4774] [SQL] Makes HiveFromSpark more portable
* [FIX][DOC] Fix broken links in ml-guide.mdXiangrui Meng2014-12-042-2/+1
| | | | | | | | | | | | and some minor changes in ScalaDoc. Author: Xiangrui Meng <meng@databricks.com> Closes #3601 from mengxr/SPARK-4575-fix and squashes the following commits: c559768 [Xiangrui Meng] minor code update ce94da8 [Xiangrui Meng] Java Bean -> JavaBean 0b5c182 [Xiangrui Meng] fix links in ml-guide
* [SPARK-4575] [mllib] [docs] spark.ml pipelines doc + bug fixesJoseph K. Bradley2014-12-046-5/+457
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Documentation: * Added ml-guide.md, linked from mllib-guide.md * Updated mllib-guide.md with small section pointing to ml-guide.md Examples: * CrossValidatorExample * SimpleParamsExample * (I copied these + the SimpleTextClassificationPipeline example into the ml-guide.md) Bug fixes: * PipelineModel: did not use ParamMaps correctly * UnaryTransformer: issues with TypeTag serialization (Thanks to mengxr for that fix!) CC: mengxr shivaram etrain Documentation for Pipelines: I know the docs are not complete, but the goal is to have enough to let interested people get started using spark.ml and to add more docs once the package is more established/complete. Author: Joseph K. Bradley <joseph@databricks.com> Author: jkbradley <joseph.kurata.bradley@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #3588 from jkbradley/ml-package-docs and squashes the following commits: d393b5c [Joseph K. Bradley] fixed bug in Pipeline (typo from last commit). updated examples for CV and Params for spark.ml c38469c [Joseph K. Bradley] Updated ml-guide with CV examples 99f88c2 [Joseph K. Bradley] Fixed bug in PipelineModel.transform* with usage of params. Updated CrossValidatorExample to use more training examples so it is less likely to get a 0-size fold. ea34dc6 [jkbradley] Merge pull request #4 from mengxr/ml-package-docs 3b83ec0 [Xiangrui Meng] replace TypeTag with explicit datatype 41ad9b1 [Joseph K. Bradley] Added examples for spark.ml: SimpleParamsExample + Java version, CrossValidatorExample + Java version. CrossValidatorExample not working yet. Added programming guide for spark.ml, but need to add CrossValidatorExample to it once CrossValidatorExample works.
* [SPARK-4580] [SPARK-4610] [mllib] [docs] Documentation for tree ensembles + ↵Joseph K. Bradley2014-12-046-10/+241
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | DecisionTree API fix Major changes: * Added programming guide sections for tree ensembles * Added examples for tree ensembles * Updated DecisionTree programming guide with more info on parameters * **API change**: Standardized the tree parameter for the number of classes (for classification) Minor changes: * Updated decision tree documentation * Updated existing tree and tree ensemble examples * Use train/test split, and compute test error instead of training error. * Fixed decision_tree_runner.py to actually use the number of classes it computes from data. (small bug fix) Note: I know this is a lot of lines, but most is covered by: * Programming guide sections for gradient boosting and random forests. (The changes are probably best viewed by generating the docs locally.) * New examples (which were copied from the programming guide) * The "numClasses" renaming I have run all examples and relevant unit tests. CC: mengxr manishamde codedeft Author: Joseph K. Bradley <joseph@databricks.com> Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #3461 from jkbradley/ensemble-docs and squashes the following commits: 70a75f3 [Joseph K. Bradley] updated forest vs boosting comparison d1de753 [Joseph K. Bradley] Added note about toString and toDebugString for DecisionTree to migration guide 8e87f8f [Joseph K. Bradley] Combined GBT and RandomForest guides into one ensembles guide 6fab846 [Joseph K. Bradley] small fixes based on review b9f8576 [Joseph K. Bradley] updated decision tree doc 375204c [Joseph K. Bradley] fixed python style 2b60b6e [Joseph K. Bradley] merged Java RandomForest examples into 1 file. added header. Fixed small bug in same example in the programming guide. 706d332 [Joseph K. Bradley] updated python DT runner to print full model if it is small c76c823 [Joseph K. Bradley] added migration guide for mllib abe5ed7 [Joseph K. Bradley] added examples for random forest in Java and Python to examples folder 07fc11d [Joseph K. Bradley] Renamed numClassesForClassification to numClasses everywhere in trees and ensembles. This is a breaking API change, but it was necessary to correct an API inconsistency in Spark 1.1 (where Python DecisionTree used numClasses but Scala used numClassesForClassification). cdfdfbc [Joseph K. Bradley] added examples for GBT 6372a2b [Joseph K. Bradley] updated decision tree examples to use random split. tested all of them. ad3e695 [Joseph K. Bradley] added gbt and random forest to programming guide. still need to update their examples
* [SPARK-4710] [mllib] Eliminate MLlib compilation warningsJoseph K. Bradley2014-12-032-8/+10
| | | | | | | | | | | | | | Renamed StreamingKMeans to StreamingKMeansExample to avoid warning about name conflict with StreamingKMeans class. Added import to DecisionTreeRunner to eliminate warning. CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #3568 from jkbradley/ml-compilation-warnings and squashes the following commits: 64d6bc4 [Joseph K. Bradley] Updated DecisionTreeRunner.scala and StreamingKMeans.scala to eliminate compilation warnings, including renaming StreamingKMeans to StreamingKMeansExample.
* [SQL] Minor fix for doc and commentwangfei2014-12-011-3/+4
| | | | | | | | Author: wangfei <wangfei1@huawei.com> Closes #3533 from scwf/sql-doc1 and squashes the following commits: 962910b [wangfei] doc and comment fix
* SPARK-4170 [CORE] Closure problems when running Scala app that "extends App"Sean Owen2014-11-271-34/+36
| | | | | | | | | | | Warn against subclassing scala.App, and remove one instance of this in examples Author: Sean Owen <sowen@cloudera.com> Closes #3497 from srowen/SPARK-4170 and squashes the following commits: 4a6131f [Sean Owen] Restore multiline string formatting a8ca895 [Sean Owen] Warn against subclassing scala.App, and remove one instance of this in examples
* [SPARK-4535][Streaming] Fix the error in commentsq002515982014-11-252-2/+2
| | | | | | | | | | | change `NetworkInputDStream` to `ReceiverInputDStream` change `ReceiverInputTracker` to `ReceiverTracker` Author: q00251598 <qiyadong@huawei.com> Closes #3400 from watermen/fix-comments and squashes the following commits: 75d795c [q00251598] change 'NetworkInputDStream' to 'ReceiverInputDStream' && change 'ReceiverInputTracker' to 'ReceiverTracker'
* [SQL] Fix path in HiveFromSparkscwf2014-11-241-1/+2
| | | | | | | | | | | | It require us to run ```HiveFromSpark``` in specified dir because ```HiveFromSpark``` use relative path, this leads to ```run-example``` error(http://apache-spark-developers-list.1001551.n3.nabble.com/src-main-resources-kv1-txt-not-found-in-example-of-HiveFromSpark-td9100.html). Author: scwf <wangfei1@huawei.com> Closes #3415 from scwf/HiveFromSpark and squashes the following commits: ed3d6c9 [scwf] revert no need change b00e20c [scwf] fix path usring spark_home dbd321b [scwf] fix path in hivefromspark
* [SPARK-4486][MLLIB] Improve GradientBoosting APIs and docXiangrui Meng2014-11-203-32/+22
| | | | | | | | | | | | | | | | | | | | | | | | | | | There are some inconsistencies in the gradient boosting APIs. The target is a general boosting meta-algorithm, but the implementation is attached to trees. This was partially due to the delay of SPARK-1856. But for the 1.2 release, we should make the APIs consistent. 1. WeightedEnsembleModel -> private[tree] TreeEnsembleModel and renamed members accordingly. 1. GradientBoosting -> GradientBoostedTrees 1. Add RandomForestModel and GradientBoostedTreesModel and hide CombiningStrategy 1. Slightly refactored TreeEnsembleModel (Vote takes weights into consideration.) 1. Remove `trainClassifier` and `trainRegressor` from `GradientBoostedTrees` because they are the same as `train` 1. Rename class `train` method to `run` because it hides the static methods with the same name in Java. Deprecated `DecisionTree.train` class method. 1. Simplify BoostingStrategy and make sure the input strategy is not modified. Users should put algo and numClasses in treeStrategy. We create ensembleStrategy inside boosting. 1. Fix a bug in GradientBoostedTreesSuite with AbsoluteError 1. doc updates manishamde jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #3374 from mengxr/SPARK-4486 and squashes the following commits: 7097251 [Xiangrui Meng] address joseph's comments 98dea09 [Xiangrui Meng] address manish's comments 4aae3b7 [Xiangrui Meng] add RandomForestModel and GradientBoostedTreesModel, hide CombiningStrategy ea4c467 [Xiangrui Meng] fix unit tests 751da4e [Xiangrui Meng] rename class method train -> run 19030a5 [Xiangrui Meng] update boosting public APIs
* SPARK-4455 Exclude dependency on hbase-annotations moduletedyu2014-11-191-0/+22
| | | | | | | | | | | | | pwendell Please take a look Author: tedyu <yuzhihong@gmail.com> Closes #3286 from tedyu/master and squashes the following commits: e61e610 [tedyu] SPARK-4455 Exclude dependency on hbase-annotations module 7e3a57a [tedyu] Merge branch 'master' of https://git-wip-us.apache.org/repos/asf/spark 2f28b08 [tedyu] Exclude dependency on hbase-annotations module
* Bumping version to 1.3.0-SNAPSHOT.Marcelo Vanzin2014-11-181-1/+1
| | | | | | | | | | | | Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #3277 from vanzin/version-1.3 and squashes the following commits: 7c3c396 [Marcelo Vanzin] Added temp repo to sbt build. 5f404ff [Marcelo Vanzin] Add another exclusion. 19457e7 [Marcelo Vanzin] Update old version to 1.2, add temporary 1.2 repo. 3c8d705 [Marcelo Vanzin] Workaround for MIMA checks. e940810 [Marcelo Vanzin] Bumping version to 1.3.0-SNAPSHOT.
* SPARK-2811 upgrade algebird to 0.8.1Adam Pingel2014-11-173-7/+7
| | | | | | | | | Author: Adam Pingel <adam@axle-lang.org> Closes #3282 from adampingel/master and squashes the following commits: 70c8d3c [Adam Pingel] relocate the algebird example back to example/src 7a9d8be [Adam Pingel] SPARK-2811 upgrade algebird to 0.8.1
* [SPARK-2321] Several progress API improvements / refactoringsJosh Rosen2014-11-141-3/+3
| | | | | | | | | | | | | | | | | | | | This PR refactors / extends the status API introduced in #2696. - Change StatusAPI from a mixin trait to a class. Before, the new status API methods were directly accessible through SparkContext, whereas now they're accessed through a `sc.statusAPI` field. As long as we were going to add these methods directly to SparkContext, the mixin trait seemed like a good idea, but this might be simpler to reason about and may avoid pitfalls that I've run into while attempting to refactor other parts of SparkContext to use mixins (see #3071, for example). - Change the name from SparkStatusAPI to SparkStatusTracker. - Make `getJobIdsForGroup(null)` return ids for jobs that aren't associated with any job group. - Add `getActiveStageIds()` and `getActiveJobIds()` methods that return the ids of whatever's currently active in this SparkContext. This should simplify davies's progress bar code. Author: Josh Rosen <joshrosen@databricks.com> Closes #3197 from JoshRosen/progress-api-improvements and squashes the following commits: 30b0afa [Josh Rosen] Rename SparkStatusAPI to SparkStatusTracker. d1b08d8 [Josh Rosen] Add missing newlines 2cc7353 [Josh Rosen] Add missing file. d5eab1f [Josh Rosen] Add getActive[Stage|Job]Ids() methods. a227984 [Josh Rosen] getJobIdsForGroup(null) should return jobs for default group c47e294 [Josh Rosen] Remove StatusAPI mixin trait.
* SPARK-4375. no longer require -Pscala-2.10Sandy Ryza2014-11-141-62/+3
| | | | | | | | | | | | It seems like the winds might have moved away from this approach, but wanted to post the PR anyway because I got it working and to show what it would look like. Author: Sandy Ryza <sandy@cloudera.com> Closes #3239 from sryza/sandy-spark-4375 and squashes the following commits: 0ffbe95 [Sandy Ryza] Enable -Dscala-2.11 in sbt cd42d94 [Sandy Ryza] Update doc f6644c3 [Sandy Ryza] SPARK-4375 take 2
* [SPARK-4372][MLLIB] Make LR and SVM's default parameters consistent in Scala ↵Xiangrui Meng2014-11-132-2/+2
| | | | | | | | | | | | | | | | | | and Python The current default regParam is 1.0 and regType is claimed to be none in Python (but actually it is l2), while regParam = 0.0 and regType is L2 in Scala. We should make the default values consistent. This PR sets the default regType to L2 and regParam to 0.01. Note that the default regParam value in LIBLINEAR (and hence scikit-learn) is 1.0. However, we use average loss instead of total loss in our formulation. Hence regParam=1.0 is definitely too heavy. In LinearRegression, we set regParam=0.0 and regType=None, because we have separate classes for Lasso and Ridge, both of which use regParam=0.01 as the default. davies atalwalkar Author: Xiangrui Meng <meng@databricks.com> Closes #3232 from mengxr/SPARK-4372 and squashes the following commits: 9979837 [Xiangrui Meng] update Ridge/Lasso to use default regParam 0.01 cast input arguments d3ba096 [Xiangrui Meng] change 'none' back to None 1909a6e [Xiangrui Meng] change default regParam to 0.01 and regType to L2 in LR and SVM
generated by cgit v1.2.3 (git 2.39.1) at 2024-07-23 07:04:23 +0000