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* [SPARK-6113] [ml] Stabilize DecisionTree APIJoseph K. Bradley2015-04-1732-263/+2104
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This is a PR for cleaning up and finalizing the DecisionTree API. PRs for ensembles will follow once this is merged. ### Goal Here is the description copied from the JIRA (for both trees and ensembles): > **Issue**: The APIs for DecisionTree and ensembles (RandomForests and GradientBoostedTrees) have been experimental for a long time. The API has become very convoluted because trees and ensembles have many, many variants, some of which we have added incrementally without a long-term design. > **Proposal**: This JIRA is for discussing changes required to finalize the APIs. After we discuss, I will make a PR to update the APIs and make them non-Experimental. This will require making many breaking changes; see the design doc for details. > **[Design doc](https://docs.google.com/document/d/1rJ_DZinyDG3PkYkAKSsQlY0QgCeefn4hUv7GsPkzBP4)** : This outlines current issues and the proposed API. Overall code layout: * The old API in mllib.tree.* will remain the same. * The new API will reside in ml.classification.* and ml.regression.* ### Summary of changes Old API * Exactly the same, except I made 1 method in Loss private (but that is not a breaking change since that method was introduced after the Spark 1.3 release). New APIs * Under Pipeline API * The new API preserves functionality, except: * New API does NOT store prob (probability of label in classification). I want to have it store the full vector of probabilities but feel that should be in a later PR. * Use abstractions for parameters, estimators, and models to avoid code duplication * Limit parameters to relevant algorithms * For enum-like types, only expose Strings * We can make these pluggable later on by adding new parameters. That is a far-future item. Test suites * I organized DecisionTreeSuite, but I made absolutely no changes to the tests themselves. * The test suites for the new API only test (a) similarity with the results of the old API and (b) elements of the new API. * After code is moved to this new API, we should move the tests from the old suites which test the internals. ### Details #### Changed names Parameters * useNodeIdCache -> cacheNodeIds #### Other changes * Split: Changed categories to set instead of list #### Non-decision tree changes * AttributeGroup * Added parentheses to toMetadata, toStructField methods (These were removed in a previous PR, but I ran into 1 issue with the Scala compiler not being able to disambiguate between a toMetadata method with no parentheses and a toMetadata method which takes 1 argument.) * Attributes * Renamed: toMetadata -> toMetadataImpl * Added toMetadata methods which return ML metadata (keyed with “ML_ATTR”) * NominalAttribute: Added getNumValues method which examines both numValues and values. * Params.inheritValues: Checks whether the parent param really belongs to the child (to allow Estimator-Model pairs with different sets of parameters) ### Questions for reviewers * Is "DecisionTreeClassificationModel" too long a name? * Is this OK in the docs? ``` class DecisionTreeRegressor extends TreeRegressor[DecisionTreeRegressionModel] with DecisionTreeParams[DecisionTreeRegressor] with TreeRegressorParams[DecisionTreeRegressor] ``` ### Future We should open up the abstractions at some point. E.g., it would be useful to be able to set tree-related parameters in 1 place and then pass those to multiple tree-based algorithms. Follow-up JIRAs will be (in this order): * Tree ensembles * Deprecate old tree code * Move DecisionTree implementation code to new API. * Move tests from the old suites which test the internals. * Update programming guide * Python API * Change RandomForest* to always use bootstrapping, even when numTrees = 1 * Provide the probability of the predicted label for classification. After we move code to the new API and update it to maintain probabilities for all labels, then we can add the probabilities to the new API. CC: mengxr manishamde codedeft chouqin MechCoder Author: Joseph K. Bradley <joseph@databricks.com> Closes #5530 from jkbradley/dt-api-dt and squashes the following commits: 6aae255 [Joseph K. Bradley] Changed tree abstractions not to take type parameters, and for setters to return this.type instead ec17947 [Joseph K. Bradley] Updates based on code review. Main changes were: moving public types from ml.impl.tree to ml.tree, modifying CategoricalSplit to take an Array of categories but store a Set internally, making more types sealed or final 5626c81 [Joseph K. Bradley] style fixes f8fbd24 [Joseph K. Bradley] imported reorg of DecisionTreeSuite from old PR. small cleanups 7ef63ed [Joseph K. Bradley] Added DecisionTreeRegressor, test suites, and example (for real this time) e11673f [Joseph K. Bradley] Added DecisionTreeRegressor, test suites, and example 119f407 [Joseph K. Bradley] added DecisionTreeClassifier example 0bdc486 [Joseph K. Bradley] fixed issues after param PR was merged f9fbb60 [Joseph K. Bradley] Done with DecisionTreeClassifier, but no save/load yet. Need to add example as well 2532c9a [Joseph K. Bradley] partial move to spark.ml API, not done yet c72c1a0 [Joseph K. Bradley] Copied changes for common items, plus DecisionTreeClassifier from original PR
* [SPARK-4897] [PySpark] Python 3 supportDavies Liu2015-04-162-18/+30
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR update PySpark to support Python 3 (tested with 3.4). Known issue: unpickle array from Pyrolite is broken in Python 3, those tests are skipped. TODO: ec2/spark-ec2.py is not fully tested with python3. Author: Davies Liu <davies@databricks.com> Author: twneale <twneale@gmail.com> Author: Josh Rosen <joshrosen@databricks.com> Closes #5173 from davies/python3 and squashes the following commits: d7d6323 [Davies Liu] fix tests 6c52a98 [Davies Liu] fix mllib test 99e334f [Davies Liu] update timeout b716610 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 cafd5ec [Davies Liu] adddress comments from @mengxr bf225d7 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 179fc8d [Davies Liu] tuning flaky tests 8c8b957 [Davies Liu] fix ResourceWarning in Python 3 5c57c95 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 4006829 [Davies Liu] fix test 2fc0066 [Davies Liu] add python3 path 71535e9 [Davies Liu] fix xrange and divide 5a55ab4 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 125f12c [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ed498c8 [Davies Liu] fix compatibility with python 3 820e649 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 e8ce8c9 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ad7c374 [Davies Liu] fix mllib test and warning ef1fc2f [Davies Liu] fix tests 4eee14a [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 20112ff [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 59bb492 [Davies Liu] fix tests 1da268c [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ca0fdd3 [Davies Liu] fix code style 9563a15 [Davies Liu] add imap back for python 2 0b1ec04 [Davies Liu] make python examples work with Python 3 d2fd566 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 a716d34 [Davies Liu] test with python 3.4 f1700e8 [Davies Liu] fix test in python3 671b1db [Davies Liu] fix test in python3 692ff47 [Davies Liu] fix flaky test 7b9699f [Davies Liu] invalidate import cache for Python 3.3+ 9c58497 [Davies Liu] fix kill worker 309bfbf [Davies Liu] keep compatibility 5707476 [Davies Liu] cleanup, fix hash of string in 3.3+ 8662d5b [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 f53e1f0 [Davies Liu] fix tests 70b6b73 [Davies Liu] compile ec2/spark_ec2.py in python 3 a39167e [Davies Liu] support customize class in __main__ 814c77b [Davies Liu] run unittests with python 3 7f4476e [Davies Liu] mllib tests passed d737924 [Davies Liu] pass ml tests 375ea17 [Davies Liu] SQL tests pass 6cc42a9 [Davies Liu] rename 431a8de [Davies Liu] streaming tests pass 78901a7 [Davies Liu] fix hash of serializer in Python 3 24b2f2e [Davies Liu] pass all RDD tests 35f48fe [Davies Liu] run future again 1eebac2 [Davies Liu] fix conflict in ec2/spark_ec2.py 6e3c21d [Davies Liu] make cloudpickle work with Python3 2fb2db3 [Josh Rosen] Guard more changes behind sys.version; still doesn't run 1aa5e8f [twneale] Turned out `pickle.DictionaryType is dict` == True, so swapped it out 7354371 [twneale] buffer --> memoryview I'm not super sure if this a valid change, but the 2.7 docs recommend using memoryview over buffer where possible, so hoping it'll work. b69ccdf [twneale] Uses the pure python pickle._Pickler instead of c-extension _pickle.Pickler. It appears pyspark 2.7 uses the pure python pickler as well, so this shouldn't degrade pickling performance (?). f40d925 [twneale] xrange --> range e104215 [twneale] Replaces 2.7 types.InstsanceType with 3.4 `object`....could be horribly wrong depending on how types.InstanceType is used elsewhere in the package--see http://bugs.python.org/issue8206 79de9d0 [twneale] Replaces python2.7 `file` with 3.4 _io.TextIOWrapper 2adb42d [Josh Rosen] Fix up some import differences between Python 2 and 3 854be27 [Josh Rosen] Run `futurize` on Python code: 7c5b4ce [Josh Rosen] Remove Python 3 check in shell.py.
* [SPARK-6893][ML] default pipeline parameter handling in pythonXiangrui Meng2015-04-152-7/+4
| | | | | | | | | | | | | | Same as #5431 but for Python. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #5534 from mengxr/SPARK-6893 and squashes the following commits: d3b519b [Xiangrui Meng] address comments ebaccc6 [Xiangrui Meng] style update fce244e [Xiangrui Meng] update explainParams with test 4d6b07a [Xiangrui Meng] add tests 5294500 [Xiangrui Meng] update default param handling in python
* SPARK-6938: All require statements now have an informative error message.Juliet Hougland2015-04-151-5/+10
| | | | | | | | | | | This pr adds informative error messages to all require statements in the Vectors class that did not previously have them. This references [SPARK-6938](https://issues.apache.org/jira/browse/SPARK-6938). Author: Juliet Hougland <juliet@cloudera.com> Closes #5532 from jhlch/SPARK-6938 and squashes the following commits: ab321bb [Juliet Hougland] Remove braces from string interpolation when not required. 1221f94 [Juliet Hougland] All require statements now have an informative error message.
* [SPARK-5957][ML] better handling of parametersXiangrui Meng2015-04-1325-391/+815
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The design doc was posted on the JIRA page. Python changes will be in a follow-up PR. jkbradley 1. Use codegen for shared params. 1. Move shared params to package `ml.param.shared`. 1. Set default values in `Params` instead of in `Param`. 1. Add a few methods to `Params` and `ParamMap`. 1. Move schema handling to `SchemaUtils` from `Params`. - [x] check visibility of the methods added Author: Xiangrui Meng <meng@databricks.com> Closes #5431 from mengxr/SPARK-5957 and squashes the following commits: d19236d [Xiangrui Meng] fix test 26ae2d7 [Xiangrui Meng] re-gen code and mark clear protected 38b78c7 [Xiangrui Meng] update Param.toString and remove Params.explain() 409e2d5 [Xiangrui Meng] address comments 2d637bd [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5957 eec2264 [Xiangrui Meng] make get* public in Params 4090d95 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5957 4fee9e7 [Xiangrui Meng] re-gen shared params 2737c2d [Xiangrui Meng] rename SharedParamCodeGen to SharedParamsCodeGen e938f81 [Xiangrui Meng] update code to set default parameter values 28ed322 [Xiangrui Meng] merge master 55be1f3 [Xiangrui Meng] merge master d63b5cc [Xiangrui Meng] fix examples 29b004c [Xiangrui Meng] update ParamsSuite 94fd98e [Xiangrui Meng] fix explain params 48d0e84 [Xiangrui Meng] add remove and update explainParams 4ac6348 [Xiangrui Meng] move schema utils to SchemaUtils add a few methods to Params 0d9594e [Xiangrui Meng] add getOrElse to ParamMap eeeffe8 [Xiangrui Meng] map ++ paramMap => extractValues 0d3fc5b [Xiangrui Meng] setDefault after param a9dbf59 [Xiangrui Meng] minor updates d9302b8 [Xiangrui Meng] generate default values 1c72579 [Xiangrui Meng] pass test compile abb7a3b [Xiangrui Meng] update default values handling dcab97a [Xiangrui Meng] add codegen for shared params
* [SPARK-5972] [MLlib] Cache residuals and gradient in GBT during training and ↵MechCoder2015-04-136-53/+105
| | | | | | | | | | | | | | | | | | validation The previous PR https://github.com/apache/spark/pull/4906 helped to extract the learning curve giving the error for each iteration. This continues the work refactoring some code and extending the same logic during training and validation. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5330 from MechCoder/spark-5972 and squashes the following commits: 0b5d659 [MechCoder] minor 32d409d [MechCoder] EvaluateeachIteration and training cache should follow different paths d542bb0 [MechCoder] Remove unused imports and docs 58f4932 [MechCoder] Remove unpersist 70d3b4c [MechCoder] Broadcast for each tree 5869533 [MechCoder] Access broadcasted values locally and other minor changes 923dbf6 [MechCoder] [SPARK-5972] Cache residuals and gradient in GBT during training and validation
* [SPARK-5988][MLlib] add save/load for PowerIterationClusteringModelXusen Yin2015-04-132-5/+97
| | | | | | | | | | | | See JIRA issue [SPARK-5988](https://issues.apache.org/jira/browse/SPARK-5988). Author: Xusen Yin <yinxusen@gmail.com> Closes #5450 from yinxusen/SPARK-5988 and squashes the following commits: cb1ecfa [Xusen Yin] change Assignment into case class b1dd24c [Xusen Yin] add test suite 63c3923 [Xusen Yin] add save load for power iteration clustering
* [SPARK-6765] Enable scalastyle on test code.Reynold Xin2015-04-131-1/+2
| | | | | | | | | | | | | | | | | | | Turn scalastyle on for all test code. Most of the violations have been resolved in my previous pull requests: Core: https://github.com/apache/spark/pull/5484 SQL: https://github.com/apache/spark/pull/5412 MLlib: https://github.com/apache/spark/pull/5411 GraphX: https://github.com/apache/spark/pull/5410 Streaming: https://github.com/apache/spark/pull/5409 Author: Reynold Xin <rxin@databricks.com> Closes #5486 from rxin/test-style-enable and squashes the following commits: 01683de [Reynold Xin] Fixed new code. a4ab46e [Reynold Xin] Fixed tests. 20adbc8 [Reynold Xin] Missed one violation. 5e36521 [Reynold Xin] [SPARK-6765] Enable scalastyle on test code.
* [SPARK-5885][MLLIB] Add VectorAssembler as a feature transformerXiangrui Meng2015-04-124-1/+185
| | | | | | | | | | | | | | | | | | | | VectorAssembler merges multiple columns into a vector column. This PR contains content from #5195. ~~carry ML attributes~~ (moved to a follow-up PR) Author: Xiangrui Meng <meng@databricks.com> Closes #5196 from mengxr/SPARK-5885 and squashes the following commits: a52b101 [Xiangrui Meng] recognize more types 35daac2 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5885 bb5e64b [Xiangrui Meng] add TODO for null 976a3d6 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5885 0859311 [Xiangrui Meng] Revert "add CreateStruct" 29fb6ac [Xiangrui Meng] use CreateStruct adb71c4 [Xiangrui Meng] Merge branch 'SPARK-6542' into SPARK-5885 85f3106 [Xiangrui Meng] add CreateStruct 4ff16ce [Xiangrui Meng] add VectorAssembler
* [SPARK-5886][ML] Add StringIndexer as a feature transformerXiangrui Meng2015-04-122-0/+178
| | | | | | | | | | | | | | | | | | | | | This PR adds string indexer, which takes a column of string labels and outputs a double column with labels indexed by their frequency. TODOs: - [x] store feature to index map in output metadata Author: Xiangrui Meng <meng@databricks.com> Closes #4735 from mengxr/SPARK-5886 and squashes the following commits: d82575f [Xiangrui Meng] fix test 700e70f [Xiangrui Meng] rename LabelIndexer to StringIndexer 16a6f8c [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5886 457166e [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5886 f8b30f4 [Xiangrui Meng] update label indexer to output metadata e81ec28 [Xiangrui Meng] Merge branch 'openhashmap-contains' into SPARK-5886-2 d6e6f1f [Xiangrui Meng] add contains to primitivekeyopenhashmap 748a69b [Xiangrui Meng] add contains to OpenHashMap def3c5c [Xiangrui Meng] add LabelIndexer
* [SPARK-4081] [mllib] VectorIndexerJoseph K. Bradley2015-04-129-19/+818
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | **Ready for review!** Since the original PR, I moved the code to the spark.ml API and renamed this to VectorIndexer. This introduces a VectorIndexer class which does the following: * VectorIndexer.fit(): collect statistics about how many values each feature in a dataset (RDD[Vector]) can take (limited by maxCategories) * Feature which exceed maxCategories are declared continuous, and the Model will treat them as such. * VectorIndexerModel.transform(): Convert categorical feature values to corresponding 0-based indices Design notes: * This maintains sparsity in vectors by ensuring that categorical feature value 0.0 gets index 0. * This does not yet support transforming data with new (unknown) categorical feature values. That can be added later. * This is necessary for DecisionTree and tree ensembles. Reviewers: Please check my use of metadata and my unit tests for it; I'm not sure if I covered everything in the tests. Other notes: * This also adds a public toMetadata method to AttributeGroup (for simpler construction of metadata). CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #3000 from jkbradley/indexer and squashes the following commits: 5956d91 [Joseph K. Bradley] minor cleanups f5c57a8 [Joseph K. Bradley] added Java test suite 643b444 [Joseph K. Bradley] removed FeatureTests 02236c3 [Joseph K. Bradley] Updated VectorIndexer, ready for PR 286d221 [Joseph K. Bradley] Reworked DatasetIndexer for spark.ml API, and renamed it to VectorIndexer 12e6cf2 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into indexer 6d8f3f1 [Joseph K. Bradley] Added partly done DatasetIndexer to spark.ml 6a2f553 [Joseph K. Bradley] Updated TODO for allowUnknownCategories 3f041f8 [Joseph K. Bradley] Final cleanups for DatasetIndexer 038b9e3 [Joseph K. Bradley] DatasetIndexer now maintains sparsity in SparseVector 3a4a0bd [Joseph K. Bradley] Added another test for DatasetIndexer 2006923 [Joseph K. Bradley] DatasetIndexer now passes tests f409987 [Joseph K. Bradley] partly done with DatasetIndexerSuite 5e7c874 [Joseph K. Bradley] working on DatasetIndexer
* [SPARK-6643][MLLIB] Implement StandardScalerModel missing methodslewuathe2015-04-121-2/+2
| | | | | | | | | | | | | | | | This is the sub-task of SPARK-6254. Wrap missing method for `StandardScalerModel`. Author: lewuathe <lewuathe@me.com> Closes #5310 from Lewuathe/SPARK-6643 and squashes the following commits: fafd690 [lewuathe] Fix for lint-python bd31a64 [lewuathe] Merge branch 'master' into SPARK-6643 578f5ee [lewuathe] Remove unnecessary class a38f155 [lewuathe] Merge master 66bb2ab [lewuathe] Fix typos 82683a0 [lewuathe] [SPARK-6643] Implement StandardScalerModel missing methods
* [SQL] [SPARK-6620] Speed up toDF() and rdd() functions by constructing ↵Volodymyr Lyubinets2015-04-101-10/+7
| | | | | | | | | | | | | | | | | | | | converters in ScalaReflection cc marmbrus Author: Volodymyr Lyubinets <vlyubin@gmail.com> Closes #5279 from vlyubin/speedup and squashes the following commits: e75a387 [Volodymyr Lyubinets] Changes to ScalaUDF 11a20ec [Volodymyr Lyubinets] Avoid creating a tuple c327bc9 [Volodymyr Lyubinets] Moved the only remaining function from DataTypeConversions to DateUtils dec6802 [Volodymyr Lyubinets] Addresed review feedback 74301fa [Volodymyr Lyubinets] Addressed review comments afa3aa5 [Volodymyr Lyubinets] Minor refactoring, added license, removed debug output 881dc60 [Volodymyr Lyubinets] Moved to a separate module; addressed review comments; one extra place of usage; changed behaviour for Java 8cad6e2 [Volodymyr Lyubinets] Addressed review commments 41b2aa9 [Volodymyr Lyubinets] Creating converters for ScalaReflection stuff, and more
* [Spark-6693][MLlib]add tostring with max lines and width for matrixYuhao Yang2015-04-092-0/+19
| | | | | | | | | | | | | | | | | | | | | | | | | jira: https://issues.apache.org/jira/browse/SPARK-6693 It's kind of annoying when debugging and found you cannot print out the matrix as you want. original toString of Matrix only print like following, 0.17810102596909183 0.5616906241468385 ... (10 total) 0.9692861997823815 0.015558159784155756 ... 0.8513015122819192 0.031523763918528847 ... 0.5396875653953941 0.3267864552779176 ... The def toString(maxLines : Int, maxWidth : Int) is useful when debuging, logging and saving matrix to files. Author: Yuhao Yang <hhbyyh@gmail.com> Closes #5344 from hhbyyh/addToString and squashes the following commits: 19a6836 [Yuhao Yang] remove extra line 6314b21 [Yuhao Yang] add exclude 736c324 [Yuhao Yang] add ut and exclude 420da39 [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into addToString c22f352 [Yuhao Yang] style change 64a9e0f [Yuhao Yang] add specific to string to matrix
* [SPARK-6264] [MLLIB] Support FPGrowth algorithm in Python APIYanbo Liang2015-04-092-3/+53
| | | | | | | | | | | | | | | | | | | Support FPGrowth algorithm in Python API. Should we remove "Experimental" which were marked for FPGrowth and FPGrowthModel in Scala? jkbradley Author: Yanbo Liang <ybliang8@gmail.com> Closes #5213 from yanboliang/spark-6264 and squashes the following commits: ed62ead [Yanbo Liang] trigger jenkins 8ce0359 [Yanbo Liang] fix docstring style 544c725 [Yanbo Liang] address comments a2d7cf7 [Yanbo Liang] add doc for FPGrowth.train() dcf7d73 [Yanbo Liang] add python doc b18fd07 [Yanbo Liang] trigger jenkins 2c951b8 [Yanbo Liang] fix typos 7f62c8f [Yanbo Liang] add fpm to __init__.py b96206a [Yanbo Liang] Support FPGrowth algorithm in Python API
* [SPARK-6758]block the right jetty package in logWangTaoTheTonic2015-04-091-1/+1
| | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-6758 I am not sure if it is ok to block them in test resources too (as we shade jetty in assembly?). Author: WangTaoTheTonic <wangtao111@huawei.com> Closes #5406 from WangTaoTheTonic/SPARK-6758 and squashes the following commits: e09605b [WangTaoTheTonic] block the right jetty package
* [SPARK-6765] Fix test code style for mllib.Reynold Xin2015-04-0812-28/+40
| | | | | | | | | | So we can turn style checker on for test code. Author: Reynold Xin <rxin@databricks.com> Closes #5411 from rxin/test-style-mllib and squashes the following commits: d8a2569 [Reynold Xin] [SPARK-6765] Fix test code style for mllib.
* [SPARK-6705][MLLIB] Add fit intercept api to ml logisticregressionOmede Firouz2015-04-073-2/+27
| | | | | | | | | | | | | | | | | | | | | | | | I have the fit intercept enabled by default for logistic regression, I wonder what others think here. I understand that it enables allocation by default which is undesirable, but one needs to have a very strong reason for not having an intercept term enabled so it is the safer default from a statistical sense. Explicitly modeling the intercept by adding a column of all 1s does not work. I believe the reason is that since the API for LogisticRegressionWithLBFGS forces column normalization, and a column of all 1s has 0 variance so dividing by 0 kills it. Author: Omede Firouz <ofirouz@palantir.com> Closes #5301 from oefirouz/addIntercept and squashes the following commits: 9f1286b [Omede Firouz] [SPARK-6705][MLLIB] Add fitInterceptTerm to LogisticRegression 1d6bd6f [Omede Firouz] [SPARK-6705][MLLIB] Add a fit intercept term to ML LogisticRegression 9963509 [Omede Firouz] [MLLIB] Add fitIntercept to LogisticRegression 2257fca [Omede Firouz] [MLLIB] Add fitIntercept param to logistic regression 329c1e2 [Omede Firouz] [MLLIB] Add fit intercept term bd9663c [Omede Firouz] [MLLIB] Add fit intercept api to ml logisticregression
* [SPARK-6733][ Scheduler]Added scala.language.existentialsVinod K C2015-04-071-0/+1
| | | | | | | | Author: Vinod K C <vinod.kc@huawei.com> Closes #5384 from vinodkc/Suppression_Scala_existential_code and squashes the following commits: 82a3a1f [Vinod K C] Added scala.language.existentials
* [MLlib] [SPARK-6713] Iterators in columnSimilarities for mapPartitionsWithIndexReza Zadeh2015-04-061-10/+9
| | | | | | | | | | | | Use Iterators in columnSimilarities to allow mapPartitionsWithIndex to spill to disk. This could happen in a dense and large column - this way Spark can spill the pairs onto disk instead of building all the pairs before handing them to Spark. Another PR coming to update documentation. Author: Reza Zadeh <reza@databricks.com> Closes #5364 from rezazadeh/optmemsim and squashes the following commits: 47c90ba [Reza Zadeh] Iterators in columnSimilarities for flatMap
* [SPARK-6615][MLLIB] Python API for Word2Veclewuathe2015-04-031-1/+7
| | | | | | | | | | | | | | This is the sub-task of SPARK-6254. Wrap missing method for `Word2Vec` and `Word2VecModel`. Author: lewuathe <lewuathe@me.com> Closes #5296 from Lewuathe/SPARK-6615 and squashes the following commits: f14c304 [lewuathe] Reorder tests 1d326b9 [lewuathe] Merge master e2bedfb [lewuathe] Modify test cases afb866d [lewuathe] [SPARK-6615] Python API for Word2Vec
* [MLLIB] Remove println in LogisticRegression.scalaOmede Firouz2015-04-031-1/+0
| | | | | | | | | | There's no corresponding printing in linear regression. Here was my previous PR (something weird happened and I can't reopen it) https://github.com/apache/spark/pull/5272 Author: Omede Firouz <ofirouz@palantir.com> Closes #5338 from oefirouz/println and squashes the following commits: 3f3dbf4 [Omede Firouz] [MLLIB] Remove println
* [SPARK-6428] Turn on explicit type checking for public methods.Reynold Xin2015-04-031-1/+1
| | | | | | | | | | | | | | This builds on my earlier pull requests and turns on the explicit type checking in scalastyle. Author: Reynold Xin <rxin@databricks.com> Closes #5342 from rxin/SPARK-6428 and squashes the following commits: 7b531ab [Reynold Xin] import ordering 2d9a8a5 [Reynold Xin] jl e668b1c [Reynold Xin] override 9b9e119 [Reynold Xin] Parenthesis. 82e0cf5 [Reynold Xin] [SPARK-6428] Turn on explicit type checking for public methods.
* [SPARK-6345][STREAMING][MLLIB] Fix for training with predictionfreeman2015-04-025-3/+62
| | | | | | | | | | | | | This patch fixes a reported bug causing model updates to not properly propagate to model predictions during streaming regression. These minor changes in model declaration fix the problem, and I expanded the tests to include the scenario in which the bug was arising. The two new tests failed prior to the patch and now pass. cc mengxr Author: freeman <the.freeman.lab@gmail.com> Closes #5037 from freeman-lab/train-predict-fix and squashes the following commits: 3af953e [freeman] Expand test coverage to include combined training and prediction 8f84fc8 [freeman] Move model declaration
* [SPARK-6660][MLLIB] pythonToJava doesn't recognize object arraysXiangrui Meng2015-04-011-1/+4
| | | | | | | | | | | davies Author: Xiangrui Meng <meng@databricks.com> Closes #5318 from mengxr/SPARK-6660 and squashes the following commits: 0f66ec2 [Xiangrui Meng] recognize object arrays ad8c42f [Xiangrui Meng] add a test for SPARK-6660
* [SPARK-6580] [MLLIB] Optimize LogisticRegressionModel.predictPointYanbo Liang2015-04-011-29/+26
| | | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-6580 Author: Yanbo Liang <ybliang8@gmail.com> Closes #5249 from yanboliang/spark-6580 and squashes the following commits: 6f47f21 [Yanbo Liang] address comments 4e0bd0f [Yanbo Liang] fix typos 04e2e2a [Yanbo Liang] trigger jenkins cad5bcd [Yanbo Liang] Optimize LogisticRegressionModel.predictPoint
* [SPARK-6642][MLLIB] use 1.2 lambda scaling and remove addImplicit from ↵Xiangrui Meng2015-04-012-81/+57
| | | | | | | | | | | | | NormalEquation This PR changes lambda scaling from number of users/items to number of explicit ratings. The latter is the behavior in 1.2. Slight refactor of NormalEquation to make it independent of ALS models. srowen codexiang Author: Xiangrui Meng <meng@databricks.com> Closes #5314 from mengxr/SPARK-6642 and squashes the following commits: dc655a1 [Xiangrui Meng] relax python tests f410df2 [Xiangrui Meng] use 1.2 scaling and remove addImplicit from NormalEquation
* [SPARK-5692] [MLlib] Word2Vec save/loadMechCoder2015-03-312-3/+110
| | | | | | | | | | | | | | Word2Vec model now supports saving and loading. a] The Metadata stored in JSON format consists of "version", "classname", "vectorSize" and "numWords" b] The data stored in Parquet file format consists of an Array of rows with each row consisting of 2 columns, first being the word: String and the second, an Array of Floats. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5291 from MechCoder/spark-5692 and squashes the following commits: 1142f3a [MechCoder] Add numWords to metaData bfe4c39 [MechCoder] [SPARK-5692] Word2Vec save/load
* [SPARK-6255] [MLLIB] Support multiclass classification in Python APIYanbo Liang2015-03-311-4/+18
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | Python API parity check for classification and multiclass classification support, major disparities need to be added for Python: ```scala LogisticRegressionWithLBFGS setNumClasses setValidateData LogisticRegressionModel getThreshold numClasses numFeatures SVMWithSGD setValidateData SVMModel getThreshold ``` For users the greatest benefit in this PR is multiclass classification was supported by Python API. Users can train multiclass classification model and use it to predict in pyspark. Author: Yanbo Liang <ybliang8@gmail.com> Closes #5137 from yanboliang/spark-6255 and squashes the following commits: 0bd531e [Yanbo Liang] address comments 444d5e2 [Yanbo Liang] LogisticRegressionModel.predict() optimization fc7990b [Yanbo Liang] address comments b0d9c63 [Yanbo Liang] Support Mulinomial LR model predict in Python API ded847c [Yanbo Liang] Python API parity check for classification (support multiclass classification)
* [SPARK-4894][mllib] Added Bernoulli option to NaiveBayes model in mllibleahmcguire2015-03-313-84/+312
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Added optional model type parameter for NaiveBayes training. Can be either Multinomial or Bernoulli. When Bernoulli is given the Bernoulli smoothing is used for fitting and for prediction as per: http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html. Default for model is original Multinomial fit and predict. Added additional testing for Bernoulli and Multinomial models. Author: leahmcguire <lmcguire@salesforce.com> Author: Joseph K. Bradley <joseph@databricks.com> Author: Leah McGuire <lmcguire@salesforce.com> Closes #4087 from leahmcguire/master and squashes the following commits: f3c8994 [leahmcguire] changed checks on model type to requires acb69af [leahmcguire] removed enum type and replaces all modelType parameters with strings 2224b15 [Leah McGuire] Merge pull request #2 from jkbradley/leahmcguire-master 9ad89ca [Joseph K. Bradley] removed old code 6a8f383 [Joseph K. Bradley] Added new model save/load format 2.0 for NaiveBayesModel after modelType parameter was added. Updated tests. Also updated ModelType enum-like type. 852a727 [leahmcguire] merged with upstream master a22d670 [leahmcguire] changed NaiveBayesModel modelType parameter back to NaiveBayes.ModelType, made NaiveBayes.ModelType serializable, fixed getter method in NavieBayes 18f3219 [leahmcguire] removed private from naive bayes constructor for lambda only bea62af [leahmcguire] put back in constructor for NaiveBayes 01baad7 [leahmcguire] made fixes from code review fb0a5c7 [leahmcguire] removed typo e2d925e [leahmcguire] fixed nonserializable error that was causing naivebayes test failures 2d0c1ba [leahmcguire] fixed typo in NaiveBayes c298e78 [leahmcguire] fixed scala style errors b85b0c9 [leahmcguire] Merge remote-tracking branch 'upstream/master' 900b586 [leahmcguire] fixed model call so that uses type argument ea09b28 [leahmcguire] Merge remote-tracking branch 'upstream/master' e016569 [leahmcguire] updated test suite with model type fix 85f298f [leahmcguire] Merge remote-tracking branch 'upstream/master' dc65374 [leahmcguire] integrated model type fix 7622b0c [leahmcguire] added comments and fixed style as per rb b93aaf6 [Leah McGuire] Merge pull request #1 from jkbradley/nb-model-type 3730572 [Joseph K. Bradley] modified NB model type to be more Java-friendly b61b5e2 [leahmcguire] added back compatable constructor to NaiveBayesModel to fix MIMA test failure 5a4a534 [leahmcguire] fixed scala style error in NaiveBayes 3891bf2 [leahmcguire] synced with apache spark and resolved merge conflict d9477ed [leahmcguire] removed old inaccurate comment from test suite for mllib naive bayes 76e5b0f [leahmcguire] removed unnecessary sort from test 0313c0c [leahmcguire] fixed style error in NaiveBayes.scala 4a3676d [leahmcguire] Updated changes re-comments. Got rid of verbose populateMatrix method. Public api now has string instead of enumeration. Docs are updated." ce73c63 [leahmcguire] added Bernoulli option to niave bayes model in mllib, added optional model type parameter for training. When Bernoulli is given the Bernoulli smoothing is used for fitting and for prediction http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html
* [SPARK-6571][MLLIB] use wrapper in MatrixFactorizationModel.loadXiangrui Meng2015-03-282-18/+40
| | | | | | | | | | This fixes `predictAll` after load. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #5243 from mengxr/SPARK-6571 and squashes the following commits: 82dcaa7 [Xiangrui Meng] use wrapper in MatrixFactorizationModel.load
* [SPARK-6526][ML] Add Normalizer transformer in ML packageXusen Yin2015-03-272-0/+162
| | | | | | | | | | | | | | | | See [SPARK-6526](https://issues.apache.org/jira/browse/SPARK-6526). mengxr Should we add test suite for this transformer? There is no test suite for all feature transformers in ML package now. Author: Xusen Yin <yinxusen@gmail.com> Closes #5181 from yinxusen/SPARK-6526 and squashes the following commits: 6faa7bf [Xusen Yin] fix style 8a462da [Xusen Yin] remove duplications ab35ab0 [Xusen Yin] add test suite bc8cd0f [Xusen Yin] fix comment 79774c9 [Xusen Yin] add Normalizer transformer in ML package
* [SPARK-6341][mllib] Upgrade breeze from 0.11.1 to 0.11.2Yu ISHIKAWA2015-03-271-1/+1
| | | | | | | | | | | | | There are any bugs of breeze's SparseVector at 0.11.1. You know, Spark 1.3 depends on breeze 0.11.1. So I think we should upgrade it to 0.11.2. https://issues.apache.org/jira/browse/SPARK-6341 And thanks you for your great cooperation, David Hall(dlwh) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #5222 from yu-iskw/upgrade-breeze and squashes the following commits: ad8a688 [Yu ISHIKAWA] Upgrade breeze from 0.11.1 to 0.11.2 because of a bug of SparseVector. Thanks you for your great cooperation, David Hall(@dlwh)
* [MLlib]remove unused importYuhao Yang2015-03-261-1/+1
| | | | | | | | | | minor thing. Let me know if jira is required. Author: Yuhao Yang <hhbyyh@gmail.com> Closes #5207 from hhbyyh/adjustImport and squashes the following commits: 2240121 [Yuhao Yang] remove unused import
* [SPARK-5987] [MLlib] Save/load for GaussianMixtureModelsMechCoder2015-03-252-20/+128
| | | | | | | | | | | | | | | | Should be self explanatory. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #4986 from MechCoder/spark-5987 and squashes the following commits: 7d2cd56 [MechCoder] Iterate over dataframe in a better way e7a14cb [MechCoder] Minor 33c84f9 [MechCoder] Store as Array[Data] instead of Data[Array] 505bd57 [MechCoder] Rebased over master and used MatrixUDT 7422bb4 [MechCoder] Store sigmas as Array[Double] instead of Array[Array[Double]] b9794e4 [MechCoder] Minor cb77095 [MechCoder] [SPARK-5987] Save/load for GaussianMixtureModels
* [SPARK-6256] [MLlib] MLlib Python API parity check for regressionYanbo Liang2015-03-251-3/+13
| | | | | | | | | | | | | | | | | | | | | | | MLlib Python API parity check for Regression, major disparities need to be added for Python list following: ```scala LinearRegressionWithSGD setValidateData LassoWithSGD setIntercept setValidateData RidgeRegressionWithSGD setIntercept setValidateData ``` setFeatureScaling is mllib private function which is not needed to expose in pyspark. Author: Yanbo Liang <ybliang8@gmail.com> Closes #4997 from yanboliang/spark-6256 and squashes the following commits: 102f498 [Yanbo Liang] fix intercept issue & add doc test 1fb7b4f [Yanbo Liang] change 'intercept' to 'addIntercept' de5ecbc [Yanbo Liang] MLlib Python API parity check for regression
* [ML][FEATURE] SPARK-5566: RegEx TokenizerAugustin Borsu2015-03-253-1/+221
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Added a Regex based tokenizer for ml. Currently the regex is fixed but if I could add a regex type paramater to the paramMap, changing the tokenizer regex could be a parameter used in the crossValidation. Also I wonder what would be the best way to add a stop word list. Author: Augustin Borsu <augustin@sagacify.com> Author: Augustin Borsu <a.borsu@gmail.com> Author: Augustin Borsu <aborsu@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #4504 from aborsu985/master and squashes the following commits: 716d257 [Augustin Borsu] Merge branch 'mengxr-SPARK-5566' cb07021 [Augustin Borsu] Merge branch 'SPARK-5566' of git://github.com/mengxr/spark into mengxr-SPARK-5566 5f09434 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' a164800 [Xiangrui Meng] remove tabs 556aa27 [Xiangrui Meng] Merge branch 'aborsu985-master' into SPARK-5566 9651aec [Xiangrui Meng] update test f96526d [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5566 2338da5 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' e88d7b8 [Xiangrui Meng] change pattern to a StringParameter; update tests 148126f [Augustin Borsu] Added return type to public functions 12dddb4 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' daf685e [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 6a85982 [Augustin Borsu] Style corrections 38b95a1 [Augustin Borsu] Added Java unit test for RegexTokenizer b66313f [Augustin Borsu] Modified the pattern Param so it is compiled when given to the Tokenizer e262bac [Augustin Borsu] Added unit tests in scala cd6642e [Augustin Borsu] Changed regex to pattern 132b00b [Augustin Borsu] Changed matching to gaps and removed case folding 201a107 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' cb9c9a7 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' d3ef6d3 [Augustin Borsu] Added doc to RegexTokenizer 9082fc3 [Augustin Borsu] Removed stopwords parameters and updated doc 19f9e53 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' f6a5002 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 7f930bb [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 77ff9ca [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 2e89719 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 196cd7a [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 11ca50f [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 9f8685a [Augustin Borsu] RegexTokenizer 9e07a78 [Augustin Borsu] Merge remote-tracking branch 'upstream/master' 9547e9d [Augustin Borsu] RegEx Tokenizer 01cd26f [Augustin Borsu] RegExTokenizer
* [SPARK-6496] [MLLIB] GeneralizedLinearAlgorithm.run(input, initialWeights) ↵Yanbo Liang2015-03-252-0/+10
| | | | | | | | | | | | | | should initialize numFeatures In GeneralizedLinearAlgorithm ```numFeatures``` is default to -1, we need to update it to correct value when we call run() to train a model. ```LogisticRegressionWithLBFGS.run(input)``` works well, but when we call ```LogisticRegressionWithLBFGS.run(input, initialWeights)``` to train multiclass classification model, it will throw exception due to the numFeatures is not updated. In this PR, we just update numFeatures at the beginning of GeneralizedLinearAlgorithm.run(input, initialWeights) and add test case. Author: Yanbo Liang <ybliang8@gmail.com> Closes #5167 from yanboliang/spark-6496 and squashes the following commits: 8131c48 [Yanbo Liang] LogisticRegressionWithLBFGS.run(input, initialWeights) should initialize numFeatures
* [SPARK-6308] [MLlib] [Sql] Override TypeName in VectorUDT and MatrixUDTMechCoder2015-03-234-0/+8
| | | | | | | | | Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5118 from MechCoder/spark-6308 and squashes the following commits: 6c8ffab [MechCoder] Add test for simpleString b966242 [MechCoder] [SPARK-6308] [MLlib][Sql] VectorUDT is displayed as vecto in dtypes
* [SPARK-6337][Documentation, SQL]Spark 1.3 doc fixesvinodkc2015-03-221-1/+1
| | | | | | | | Author: vinodkc <vinod.kc.in@gmail.com> Closes #5112 from vinodkc/spark_1.3_doc_fixes and squashes the following commits: 2c6aee6 [vinodkc] Spark 1.3 doc fixes
* [SPARK-6025] [MLlib] Add helper method evaluateEachIteration to extract ↵MechCoder2015-03-206-44/+94
| | | | | | | | | | | | | | | | learning curve Added evaluateEachIteration to allow the user to manually extract the error for each iteration of GradientBoosting. The internal optimisation can be dealt with later. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #4906 from MechCoder/spark-6025 and squashes the following commits: 67146ab [MechCoder] Minor 352001f [MechCoder] Minor 6e8aa10 [MechCoder] Made the following changes Used mapPartition instead of map Refactored computeError and unpersisted broadcast variables bc99ac6 [MechCoder] Refactor the method and stuff dbda033 [MechCoder] [SPARK-6025] Add helper method evaluateEachIteration to extract learning curve
* [SPARK-6309] [SQL] [MLlib] Implement MatrixUDTMechCoder2015-03-202-0/+103
| | | | | | | | | | | | | Utilities to serialize and deserialize Matrices in MLlib Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5048 from MechCoder/spark-6309 and squashes the following commits: 05dc6f2 [MechCoder] Hashcode and organize imports 16d5d47 [MechCoder] Test some more 6e67020 [MechCoder] TST: Test using Array conversion instead of equals 7fa7a2c [MechCoder] [SPARK-6309] [SQL] [MLlib] Implement MatrixUDT
* [SPARK-5955][MLLIB] add checkpointInterval to ALSXiangrui Meng2015-03-204-5/+82
| | | | | | | | | | | | | | | | | | Add checkpiontInterval to ALS to prevent: 1. StackOverflow exceptions caused by long lineage, 2. large shuffle files generated during iterations, 3. slow recovery when some node fail. srowen coderxiang Author: Xiangrui Meng <meng@databricks.com> Closes #5076 from mengxr/SPARK-5955 and squashes the following commits: df56791 [Xiangrui Meng] update impl to reuse code 29affcb [Xiangrui Meng] do not materialize factors in implicit 20d3f7f [Xiangrui Meng] add checkpointInterval to ALS
* [Spark 6096][MLlib] Add Naive Bayes load save methods in PythonXusen Yin2015-03-201-0/+11
| | | | | | | | | | | | | | See [SPARK-6096](https://issues.apache.org/jira/browse/SPARK-6096). Author: Xusen Yin <yinxusen@gmail.com> Closes #5090 from yinxusen/SPARK-6096 and squashes the following commits: bd0fea5 [Xusen Yin] fix style problem, etc. 3fd41f2 [Xusen Yin] use hanging indent in Python style e83803d [Xusen Yin] fix Python style d6dbde5 [Xusen Yin] fix python call java error a054bb3 [Xusen Yin] add save load for NaiveBayes python
* [MLlib] SPARK-5954: Top by keyShuo Xiang2015-03-202-0/+96
| | | | | | | | | | | | | | | | | | | | | | | | This PR implements two functions - `topByKey(num: Int): RDD[(K, Array[V])]` finds the top-k values for each key in a pair RDD. This can be used, e.g., in computing top recommendations. - `takeOrderedByKey(num: Int): RDD[(K, Array[V])] ` does the opposite of `topByKey` The `sorted` is used here as the `toArray` method of the PriorityQueue does not return a necessarily sorted array. Author: Shuo Xiang <shuoxiangpub@gmail.com> Closes #5075 from coderxiang/topByKey and squashes the following commits: 1611c37 [Shuo Xiang] code clean up 6f565c0 [Shuo Xiang] naming a80e0ec [Shuo Xiang] typo and warning 82dded9 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into topByKey d202745 [Shuo Xiang] move to MLPairRDDFunctions 901b0af [Shuo Xiang] style check 70c6e35 [Shuo Xiang] remove takeOrderedByKey, update doc and test 0895c17 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into topByKey b10e325 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into topByKey debccad [Shuo Xiang] topByKey
* [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 Xin2015-03-2021-58/+97
| | | | | | | | | | | | | 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-6291] [MLLIB] GLM toString & toDebugStringYanbo Liang2015-03-193-1/+14
| | | | | | | | | | | | | | GLM toString prints out intercept, numFeatures. For LogisticRegression and SVM model, toString also prints out numClasses, threshold. GLM toDebugString prints out the whole weights, intercept. Author: Yanbo Liang <ybliang8@gmail.com> Closes #5038 from yanboliang/spark-6291 and squashes the following commits: 2f578b0 [Yanbo Liang] code format 78b33f2 [Yanbo Liang] fix typos 1e8a023 [Yanbo Liang] GLM toString & toDebugString
* [SPARK-6374] [MLlib] add get for GeneralizedLinearAlgoYuhao Yang2015-03-181-0/+10
| | | | | | | | | | I find it's better to have getter for NumFeatures and addIntercept within GeneralizedLinearAlgorithm during actual usage, otherwise I 'll have to get the value through debug. Author: Yuhao Yang <hhbyyh@gmail.com> Closes #5058 from hhbyyh/addGetLinear and squashes the following commits: 9dc90e8 [Yuhao Yang] add get for GeneralizedLinearAlgo
* [SPARK-6226][MLLIB] add save/load in PySpark's KMeansModelXiangrui Meng2015-03-171-0/+5
| | | | | | | | | | | Use `_py2java` and `_java2py` to convert Python model to/from Java model. yinxusen Author: Xiangrui Meng <meng@databricks.com> Closes #5049 from mengxr/SPARK-6226-mengxr and squashes the following commits: 570ba81 [Xiangrui Meng] fix python style b10b911 [Xiangrui Meng] add save/load in PySpark's KMeansModel
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