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* [SPARK-6263] [MLLIB] Python MLlib API missing items: Utilslewuathe2015-07-011-0/+43
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Implement missing API in pyspark. MLUtils * appendBias * loadVectors `kFold` is also missing however I am not sure `ClassTag` can be passed or restored through python. Author: lewuathe <lewuathe@me.com> Closes #5707 from Lewuathe/SPARK-6263 and squashes the following commits: 16863ea [lewuathe] Merge master 3fc27e7 [lewuathe] Merge branch 'master' into SPARK-6263 6084e9c [lewuathe] Resolv conflict d2aa2a0 [lewuathe] Resolv conflict 9c329d8 [lewuathe] Fix efficiency 3a12a2d [lewuathe] Merge branch 'master' into SPARK-6263 1d4714b [lewuathe] Fix style b29e2bc [lewuathe] Remove scipy dependencies e32eb40 [lewuathe] Merge branch 'master' into SPARK-6263 25d3c9d [lewuathe] Remove unnecessary imports 7ec04db [lewuathe] Resolv conflict 1502d13 [lewuathe] Resolv conflict d6bd416 [lewuathe] Check existence of scipy.sparse 5d555b1 [lewuathe] Construct scipy.sparse matrix c345a44 [lewuathe] Merge branch 'master' into SPARK-6263 b8b5ef7 [lewuathe] Fix unnecessary sort method d254be7 [lewuathe] Merge branch 'master' into SPARK-6263 62a9c7e [lewuathe] Fix appendBias return type 454c73d [lewuathe] Merge branch 'master' into SPARK-6263 a353354 [lewuathe] Remove unnecessary appendBias implementation 44295c2 [lewuathe] Merge branch 'master' into SPARK-6263 64f72ad [lewuathe] Merge branch 'master' into SPARK-6263 c728046 [lewuathe] Fix style 2980569 [lewuathe] [SPARK-6263] Python MLlib API missing items: Utils
* [SPARK-4127] [MLLIB] [PYSPARK] Python bindings for ↵MechCoder2015-06-301-2/+122
| | | | | | | | | | | | | | | | | | | StreamingLinearRegressionWithSGD Python bindings for StreamingLinearRegressionWithSGD Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6744 from MechCoder/spark-4127 and squashes the following commits: d8f6457 [MechCoder] Moved StreamingLinearAlgorithm to pyspark.mllib.regression d47cc24 [MechCoder] Inherit from StreamingLinearAlgorithm 1b4ddd6 [MechCoder] minor 4de6c68 [MechCoder] Minor refactor 5e85a3b [MechCoder] Add tests for simultaneous training and prediction fb27889 [MechCoder] Add example and docs 505380b [MechCoder] Add tests d42bdae [MechCoder] [SPARK-4127] Python bindings for StreamingLinearRegressionWithSGD
* [SPARK-7633] [MLLIB] [PYSPARK] Python bindings for ↵MechCoder2015-06-241-1/+134
| | | | | | | | | | | | | | | | StreamingLogisticRegressionwithSGD Add Python bindings to StreamingLogisticRegressionwithSGD. No Java wrappers are needed as models are updated directly using train. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6849 from MechCoder/spark-3258 and squashes the following commits: b4376a5 [MechCoder] minor d7e5fc1 [MechCoder] Refactor into StreamingLinearAlgorithm Better docs 9c09d4e [MechCoder] [SPARK-7633] Python bindings for StreamingLogisticRegressionwithSGD
* [SPARK-8265] [MLLIB] [PYSPARK] Add LinearDataGenerator to pyspark.mllib.utilsMechCoder2015-06-231-2/+20
| | | | | | | | | | | | It is useful to generate linear data for easy testing of linear models and in general. Scala already has it. This is just a wrapper around the Scala code. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6715 from MechCoder/generate_linear_input and squashes the following commits: 6182884 [MechCoder] Minor changes 8bda047 [MechCoder] Minor style fixes 0f1053c [MechCoder] [SPARK-8265] Add LinearDataGenerator to pyspark.mllib.utils
* [SPARK-7781] [MLLIB] gradient boosted trees.train regressor missing max binsHolden Karau2015-06-221-0/+7
| | | | | | | | | | | Author: Holden Karau <holden@pigscanfly.ca> Closes #6331 from holdenk/SPARK-7781-GradientBoostedTrees.trainRegressor-missing-max-bins and squashes the following commits: 2894695 [Holden Karau] remove extra blank line 2573e8d [Holden Karau] Update the scala side of the pythonmllibapi and make the test a bit nicer too 3a09170 [Holden Karau] add maxBins to to the train method as well af7f274 [Holden Karau] Add maxBins to GradientBoostedTrees.trainRegressor and correctly mention the default of 32 in other places where it mentioned 100
* [SPARK-8511] [PYSPARK] Modify a test to remove a saved model in `regression.py`Yu ISHIKAWA2015-06-221-1/+2
| | | | | | | | | | | [[SPARK-8511] Modify a test to remove a saved model in `regression.py` - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-8511) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #6926 from yu-iskw/SPARK-8511 and squashes the following commits: 7cd0948 [Yu ISHIKAWA] Use `shutil.rmtree()` to temporary directories for saving model testings, instead of `os.removedirs()` 4a01c9e [Yu ISHIKAWA] [SPARK-8511][pyspark] Modify a test to remove a saved model in `regression.py`
* [SPARK-4118] [MLLIB] [PYSPARK] Python bindings for StreamingKMeansMechCoder2015-06-191-1/+149
| | | | | | | | | | | | | | | | | | | | | | Python bindings for StreamingKMeans Will change status to MRG once docs, tests and examples are updated. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6499 from MechCoder/spark-4118 and squashes the following commits: 7722d16 [MechCoder] minor style fixes 51052d3 [MechCoder] Doc fixes 2061a76 [MechCoder] Add tests for simultaneous training and prediction Minor style fixes 81482fd [MechCoder] minor 5d9fe61 [MechCoder] predictOn should take into account the latest model 8ab9e89 [MechCoder] Fix Python3 error a9817df [MechCoder] Better tests and minor fixes c80e451 [MechCoder] Add ignore_unicode_prefix ee8ce16 [MechCoder] Update tests, doc and examples 4b1481f [MechCoder] Some changes and tests d8b066a [MechCoder] [SPARK-4118] [MLlib] [PySpark] Python bindings for StreamingKMeans
* [SPARK-7605] [MLLIB] [PYSPARK] Python API for ElementwiseProductMechCoder2015-06-171-0/+13
| | | | | | | | | | | Python API for org.apache.spark.mllib.feature.ElementwiseProduct Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6346 from MechCoder/spark-7605 and squashes the following commits: 79d1ef5 [MechCoder] Consistent and support list / array types 5f81d81 [MechCoder] [SPARK-7605] [MLlib] Python API for ElementwiseProduct
* [SPARK-6390] [SQL] [MLlib] Port MatrixUDT to PySparkMechCoder2015-06-171-1/+33
| | | | | | | | | | | | | MatrixUDT was recently coded in scala. This has been ported to PySpark Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6354 from MechCoder/spark-6390 and squashes the following commits: fc4dc1e [MechCoder] Better error message c940a44 [MechCoder] Added test aa9c391 [MechCoder] Add pyUDT to MatrixUDT 62a2a7d [MechCoder] [SPARK-6390] Port MatrixUDT to PySpark
* [SPARK-7328] [MLLIB] [PYSPARK] Pyspark.mllib.linalg.Vectors: Missing itemsMechCoder2015-05-071-1/+24
| | | | | | | | | | | | | | | | | | | | Add 1. Class methods squared_dist 3. parse 4. norm 5. numNonzeros 6. copy I made a few vectorizations wrt squared_dist and dot as well. I have added support for SparseMatrix serialization in a separate PR (https://github.com/apache/spark/pull/5775) and plan to complete support for Matrices in another PR. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5872 from MechCoder/local_linalg_api and squashes the following commits: a8ff1e0 [MechCoder] minor ce3e53e [MechCoder] Add error message for parser 1bd3c04 [MechCoder] Robust parser and removed unnecessary methods f779561 [MechCoder] [SPARK-7328] Pyspark.mllib.linalg.Vectors: Missing items
* [SPARK-6612] [MLLIB] [PYSPARK] Python KMeans parityHrishikesh Subramonian2015-05-051-3/+6
| | | | | | | | | | | | | | | | | The following items are added to Python kmeans: kmeans - setEpsilon, setInitializationSteps KMeansModel - computeCost, k Author: Hrishikesh Subramonian <hrishikesh.subramonian@flytxt.com> Closes #5647 from FlytxtRnD/newPyKmeansAPI and squashes the following commits: b9e451b [Hrishikesh Subramonian] set seed to fixed value in doc test 5fd3ced [Hrishikesh Subramonian] doc test corrections 20b3c68 [Hrishikesh Subramonian] python 3 fixes 4d4e695 [Hrishikesh Subramonian] added arguments in python tests 21eb84c [Hrishikesh Subramonian] Python Kmeans - setEpsilon, setInitializationSteps, k and computeCost added.
* [SPARK-7202] [MLLIB] [PYSPARK] Add SparseMatrixPickler to SerDeMechCoder2015-05-051-0/+3
| | | | | | | | | | Utilities for pickling and unpickling SparseMatrices using SerDe Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5775 from MechCoder/spark-7202 and squashes the following commits: 7e689dc [MechCoder] [SPARK-7202] Add SparseMatrixPickler to SerDe
* [SPARK-6953] [PySpark] speed up python testsReynold Xin2015-04-211-33/+36
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR try to speed up some python tests: ``` tests.py 144s -> 103s -41s mllib/classification.py 24s -> 17s -7s mllib/regression.py 27s -> 15s -12s mllib/tree.py 27s -> 13s -14s mllib/tests.py 64s -> 31s -33s streaming/tests.py 185s -> 84s -101s ``` Considering python3, the total saving will be 558s (almost 10 minutes) (core, and streaming run three times, mllib runs twice). During testing, it will show used time for each test file: ``` Run core tests ... Running test: pyspark/rdd.py ... ok (22s) Running test: pyspark/context.py ... ok (16s) Running test: pyspark/conf.py ... ok (4s) Running test: pyspark/broadcast.py ... ok (4s) Running test: pyspark/accumulators.py ... ok (4s) Running test: pyspark/serializers.py ... ok (6s) Running test: pyspark/profiler.py ... ok (5s) Running test: pyspark/shuffle.py ... ok (1s) Running test: pyspark/tests.py ... ok (103s) 144s ``` Author: Reynold Xin <rxin@databricks.com> Author: Xiangrui Meng <meng@databricks.com> Closes #5605 from rxin/python-tests-speed and squashes the following commits: d08542d [Reynold Xin] Merge pull request #14 from mengxr/SPARK-6953 89321ee [Xiangrui Meng] fix seed in tests 3ad2387 [Reynold Xin] Merge pull request #5427 from davies/python_tests
* [SPARK-6845] [MLlib] [PySpark] Add isTranposed flag to DenseMatrixMechCoder2015-04-211-0/+16
| | | | | | | | | | | | | Since sparse matrices now support a isTransposed flag for row major data, DenseMatrices should do the same. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5455 from MechCoder/spark-6845 and squashes the following commits: 525c370 [MechCoder] minor 004a37f [MechCoder] Cast boolean to int 151f3b6 [MechCoder] [WIP] Add isTransposed to pickle DenseMatrix cc0b90a [MechCoder] [SPARK-6845] Add isTranposed flag to DenseMatrix
* [SPARK-6661] Python type errors should print type, not objectElisey Zanko2015-04-201-2/+4
| | | | | | | | Author: Elisey Zanko <elisey.zanko@gmail.com> Closes #5361 from 31z4/spark-6661 and squashes the following commits: 73c5d79 [Elisey Zanko] Python type errors should print type, not object
* [SPARK-4897] [PySpark] Python 3 supportDavies Liu2015-04-161-10/+10
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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-6643][MLLIB] Implement StandardScalerModel missing methodslewuathe2015-04-121-0/+24
| | | | | | | | | | | | | | | | 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
* [SPARK-6577] [MLlib] [PySpark] SparseMatrix should be supported in PySparkMechCoder2015-04-091-2/+50
| | | | | | | | | | | | | | | Supporting of SparseMatrix in PySpark. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5355 from MechCoder/spark-6577 and squashes the following commits: 7492190 [MechCoder] More readable code for densifying ea2c54b [MechCoder] Check bounds for indexing 454ef2c [MechCoder] Made the following changes 1. Used convert_to_array for array conversion. 2. Used F order for toArray 3. Minor improvements in speed. db76caf [MechCoder] Add support for CSR matrix 29653e7 [MechCoder] Renamed indices to rowIndices and indptr to colPtrs b6384fe [MechCoder] [SPARK-6577] SparseMatrix should be supported in PySpark
* [SPARK-6720][MLLIB] PySpark MultivariateStatisticalSummary unit test for ↵lewuathe2015-04-071-0/+7
| | | | | | | | | | | | | | | | normL1... ... and normL2. Add test cases to insufficient unit test for `normL1` and `normL2`. Ref: https://github.com/apache/spark/pull/5359 Author: lewuathe <lewuathe@me.com> Closes #5374 from Lewuathe/SPARK-6720 and squashes the following commits: 5541b24 [lewuathe] More accurate tests dc5718c [lewuathe] [SPARK-6720] PySpark MultivariateStatisticalSummary unit test for normL1 and normL2
* [SPARK-6262][MLLIB]Implement missing methods for MultivariateStatisticalSummarylewuathe2015-04-051-0/+6
| | | | | | | | | | | | Add below methods in pyspark for MultivariateStatisticalSummary - normL1 - normL2 Author: lewuathe <lewuathe@me.com> Closes #5359 from Lewuathe/SPARK-6262 and squashes the following commits: cbe439e [lewuathe] Implement missing methods for MultivariateStatisticalSummary
* [SPARK-6615][MLLIB] Python API for Word2Veclewuathe2015-04-031-5/+40
| | | | | | | | | | | | | | 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
* [SPARK-6660][MLLIB] pythonToJava doesn't recognize object arraysXiangrui Meng2015-04-011-0/+8
| | | | | | | | | | | 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-6576] [MLlib] [PySpark] DenseMatrix in PySpark should support indexingMechCoder2015-04-011-0/+7
| | | | | | | | | | | | Support indexing in DenseMatrices in PySpark Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5232 from MechCoder/SPARK-6576 and squashes the following commits: a735078 [MechCoder] Change bounds a062025 [MechCoder] Matrices are stored in column order 7917bc1 [MechCoder] [SPARK-6576] DenseMatrix in PySpark should support indexing
* [SPARK-6598][MLLIB] Python API for IDFModellewuathe2015-03-311-0/+14
| | | | | | | | | | | This is the sub-task of SPARK-6254. Wrapping IDFModel `idf` member function for pyspark. Author: lewuathe <lewuathe@me.com> Closes #5264 from Lewuathe/SPARK-6598 and squashes the following commits: 1dc522c [lewuathe] [SPARK-6598] Python API for IDFModel
* [SPARK-6421][MLLIB] _regression_train_wrapper does not test initialWeights ↵lewuathe2015-03-201-0/+7
| | | | | | | | | | | | | correctly Weight parameters must be initialized correctly even when numpy array is passed as initial weights. Author: lewuathe <lewuathe@me.com> Closes #5101 from Lewuathe/SPARK-6421 and squashes the following commits: 7795201 [lewuathe] Fix lint-python errors 21d4fe3 [lewuathe] Fix init logic of weights
* [SPARK-6097][MLLIB] Support tree model save/load in PySpark/MLlibXiangrui Meng2015-03-021-1/+26
| | | | | | | | | | | | | | | | Similar to `MatrixFactorizaionModel`, we only need wrappers to support save/load for tree models in Python. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #4854 from mengxr/SPARK-6097 and squashes the following commits: 4586a4d [Xiangrui Meng] fix more typos 8ebcac2 [Xiangrui Meng] fix python style 91172d8 [Xiangrui Meng] fix typos 201b3b9 [Xiangrui Meng] update user guide b5158e2 [Xiangrui Meng] support tree model save/load in PySpark/MLlib
* [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFramesReynold Xin2015-02-131-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - The old implicit would convert RDDs directly to DataFrames, and that added too many methods. - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed Python changes: - toDataFrame -> toDF - Dsl -> functions package - addColumn -> withColumn - renameColumn -> withColumnRenamed - add toDF functions to RDD on SQLContext init - add flatMap to DataFrame Author: Reynold Xin <rxin@databricks.com> Author: Davies Liu <davies@databricks.com> Closes #4556 from rxin/SPARK-5752 and squashes the following commits: 5ef9910 [Reynold Xin] More fix 61d3fca [Reynold Xin] Merge branch 'df5' of github.com:davies/spark into SPARK-5752 ff5832c [Reynold Xin] Fix python 749c675 [Reynold Xin] count(*) fixes. 5806df0 [Reynold Xin] Fix build break again. d941f3d [Reynold Xin] Fixed explode compilation break. fe1267a [Davies Liu] flatMap c4afb8e [Reynold Xin] style d9de47f [Davies Liu] add comment b783994 [Davies Liu] add comment for toDF e2154e5 [Davies Liu] schema() -> schema 3a1004f [Davies Liu] Dsl -> functions, toDF() fb256af [Reynold Xin] - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed 0dd74eb [Reynold Xin] [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames 97dd47c [Davies Liu] fix mistake 6168f74 [Davies Liu] fix test 1fc0199 [Davies Liu] fix test a075cd5 [Davies Liu] clean up, toPandas 663d314 [Davies Liu] add test for agg('*') 9e214d5 [Reynold Xin] count(*) fixes. 1ed7136 [Reynold Xin] Fix build break again. 921b2e3 [Reynold Xin] Fixed explode compilation break. 14698d4 [Davies Liu] flatMap ba3e12d [Reynold Xin] style d08c92d [Davies Liu] add comment 5c8b524 [Davies Liu] add comment for toDF a4e5e66 [Davies Liu] schema() -> schema d377fc9 [Davies Liu] Dsl -> functions, toDF() 6b3086c [Reynold Xin] - toDataFrame -> toDF - Dsl -> functions - implicits moved into SQLContext.implicits - addColumn -> withColumn - renameColumn -> withColumnRenamed 807e8b1 [Reynold Xin] [SPARK-5752][SQL] Don't implicitly convert RDDs directly to DataFrames
* [SPARK-5585] Flaky test in MLlib pythonDavies Liu2015-02-041-1/+1
| | | | | | | | | | | Add a seed for tests. Author: Davies Liu <davies@databricks.com> Closes #4358 from davies/flaky_test and squashes the following commits: 02371c3 [Davies Liu] Merge branch 'master' of github.com:apache/spark into flaky_test ced499b [Davies Liu] add seed for test
* [SPARK-5012][MLLib][PySpark]Python API for Gaussian Mixture ModelFlytxtRnD2015-02-021-0/+26
| | | | | | | | | | | | | | | | | | | | | | | | | | | 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-5094][MLlib] Add Python API for Gradient Boosted TreesKazuki Taniguchi2015-01-301-7/+34
| | | | | | | | | | 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-4749] [mllib]: Allow initializing KMeans clusters using a seednate.crosswhite2015-01-211-1/+16
| | | | | | | | | | | | | | | | | | | This implements the functionality for SPARK-4749 and provides units tests in Scala and PySpark Author: nate.crosswhite <nate.crosswhite@stresearch.com> Author: nxwhite-str <nxwhite-str@users.noreply.github.com> Author: Xiangrui Meng <meng@databricks.com> Closes #3610 from nxwhite-str/master and squashes the following commits: a2ebbd3 [nxwhite-str] Merge pull request #1 from mengxr/SPARK-4749-kmeans-seed 7668124 [Xiangrui Meng] minor updates f8d5928 [nate.crosswhite] Addressing PR issues 277d367 [nate.crosswhite] Merge remote-tracking branch 'upstream/master' 9156a57 [nate.crosswhite] Merge remote-tracking branch 'upstream/master' 5d087b4 [nate.crosswhite] Adding KMeans train with seed and Scala unit test 616d111 [nate.crosswhite] Merge remote-tracking branch 'upstream/master' 35c1884 [nate.crosswhite] Add kmeans initial seed to pyspark API
* [SPARK-2909] [MLlib] [PySpark] SparseVector in pyspark now supports indexingMechCoder2015-01-141-0/+12
| | | | | | | | | | | | | Slightly different than the scala code which converts the sparsevector into a densevector and then checks the index. I also hope I've added tests in the right place. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #4025 from MechCoder/spark-2909 and squashes the following commits: 07d0f26 [MechCoder] STY: Rename item to index f02148b [MechCoder] [SPARK-2909] [Mlib] SparseVector in pyspark now supports indexing
* [SPARK-5089][PYSPARK][MLLIB] Fix vector convertfreeman2015-01-051-0/+10
| | | | | | | | | | | | | | | This is a small change addressing a potentially significant bug in how PySpark + MLlib handles non-float64 numpy arrays. The automatic conversion to `DenseVector` that occurs when passing RDDs to MLlib algorithms in PySpark should automatically upcast to float64s, but currently this wasn't actually happening. As a result, non-float64 would be silently parsed inappropriately during SerDe, yielding erroneous results when running, for example, KMeans. The PR includes the fix, as well as a new test for the correct conversion behavior. davies Author: freeman <the.freeman.lab@gmail.com> Closes #3902 from freeman-lab/fix-vector-convert and squashes the following commits: 764db47 [freeman] Add a test for proper conversion behavior 704f97e [freeman] Return array after changing type
* [SPARK-4855][mllib] testing the Chi-squared hypothesis testjbencook2014-12-161-1/+99
| | | | | | | | | | | | | | | | | | This PR tests the pyspark Chi-squared hypothesis test from this commit: c8abddc5164d8cf11cdede6ab3d5d1ea08028708 and moves some of the error messaging in to python. It is a port of the Scala tests here: [HypothesisTestSuite.scala](https://github.com/apache/spark/blob/master/mllib/src/test/scala/org/apache/spark/mllib/stat/HypothesisTestSuite.scala) Hopefully, SPARK-2980 can be closed. Author: jbencook <jbenjamincook@gmail.com> Closes #3679 from jbencook/master and squashes the following commits: 44078e0 [jbencook] checking that bad input throws the correct exceptions f12ee10 [jbencook] removing checks for ValueError since input tests are on the Scala side 7536cf1 [jbencook] removing python checks for invalid input a17ee84 [jbencook] [SPARK-2980][mllib] adding unit tests for the pyspark chi-squared test 3aeb0d9 [jbencook] [SPARK-2980][mllib] bringing Chi-squared error messages to the python side
* [SPARK-4562] [MLlib] speedup vectorDavies Liu2014-11-241-1/+5
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR change the underline array of DenseVector to numpy.ndarray to avoid the conversion, because most of the users will using numpy.array. It also improve the serialization of DenseVector. Before this change: trial | trainingTime | testTime -------|--------|-------- 0 | 5.126 | 1.786 1 |2.698 |1.693 After the change: trial | trainingTime | testTime -------|--------|-------- 0 |4.692 |0.554 1 |2.307 |0.525 This could partially fix the performance regression during test. Author: Davies Liu <davies@databricks.com> Closes #3420 from davies/ser2 and squashes the following commits: 0e1e6f3 [Davies Liu] fix tests 426f5db [Davies Liu] impove toArray() 44707ec [Davies Liu] add name for ISO-8859-1 fa7d791 [Davies Liu] address comments 1cfb137 [Davies Liu] handle zero sparse vector 2548ee2 [Davies Liu] fix tests 9e6389d [Davies Liu] bugfix 470f702 [Davies Liu] speed up DenseMatrix f0d3c40 [Davies Liu] speedup SparseVector ef6ce70 [Davies Liu] speed up dense vector
* [SPARK-3573][MLLIB] Make MLlib's Vector compatible with SQL's SchemaRDDXiangrui Meng2014-11-031-3/+36
| | | | | | | | | | | | | | | Register MLlib's Vector as a SQL user-defined type (UDT) in both Scala and Python. With this PR, we can easily map a RDD[LabeledPoint] to a SchemaRDD, and then select columns or save to a Parquet file. Examples in Scala/Python are attached. The Scala code was copied from jkbradley. ~~This PR contains the changes from #3068 . I will rebase after #3068 is merged.~~ marmbrus jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #3070 from mengxr/SPARK-3573 and squashes the following commits: 3a0b6e5 [Xiangrui Meng] organize imports 236f0a0 [Xiangrui Meng] register vector as UDT and provide dataset examples
* [SPARK-4023] [MLlib] [PySpark] convert rdd into RDD of VectorDavies Liu2014-10-211-0/+19
| | | | | | | | | | | | | Convert the input rdd to RDD of Vector. cc mengxr Author: Davies Liu <davies@databricks.com> Closes #2870 from davies/fix4023 and squashes the following commits: 1eac767 [Davies Liu] address comments 0871576 [Davies Liu] convert rdd into RDD of Vector
* [SPARK-3867][PySpark] ./python/run-tests failed when it run with Python 2.6 ↵cocoatomo2014-10-111-1/+5
| | | | | | | | | | | | | and unittest2 is not installed ./python/run-tests search a Python 2.6 executable on PATH and use it if available. When using Python 2.6, it is going to import unittest2 module which is not a standard library in Python 2.6, so it fails with ImportError. Author: cocoatomo <cocoatomo77@gmail.com> Closes #2759 from cocoatomo/issues/3867-unittest2-import-error and squashes the following commits: f068eb5 [cocoatomo] [SPARK-3867] ./python/run-tests failed when it run with Python 2.6 and unittest2 is not installed
* [SPARK-3786] [PySpark] speedup testsDavies Liu2014-10-061-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | This patch try to speed up tests of PySpark, re-use the SparkContext in tests.py and mllib/tests.py to reduce the overhead of create SparkContext, remove some test cases, which did not make sense. It also improve the performance of some cases, such as MergerTests and SortTests. before this patch: real 21m27.320s user 4m42.967s sys 0m17.343s after this patch: real 9m47.541s user 2m12.947s sys 0m14.543s It almost cut the time by half. Author: Davies Liu <davies.liu@gmail.com> Closes #2646 from davies/tests and squashes the following commits: c54de60 [Davies Liu] revert change about memory limit 6a2a4b0 [Davies Liu] refactor of tests, speedup 100%
* [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlibDavies Liu2014-09-191-45/+54
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Currently, we serialize the data between JVM and Python case by case manually, this cannot scale to support so many APIs in MLlib. This patch will try to address this problem by serialize the data using pickle protocol, using Pyrolite library to serialize/deserialize in JVM. Pickle protocol can be easily extended to support customized class. All the modules are refactored to use this protocol. Known issues: There will be some performance regression (both CPU and memory, the serialized data increased) Author: Davies Liu <davies.liu@gmail.com> Closes #2378 from davies/pickle_mllib and squashes the following commits: dffbba2 [Davies Liu] Merge branch 'master' of github.com:apache/spark into pickle_mllib 810f97f [Davies Liu] fix equal of matrix 032cd62 [Davies Liu] add more type check and conversion for user_product bd738ab [Davies Liu] address comments e431377 [Davies Liu] fix cache of rdd, refactor 19d0967 [Davies Liu] refactor Picklers 2511e76 [Davies Liu] cleanup 1fccf1a [Davies Liu] address comments a2cc855 [Davies Liu] fix tests 9ceff73 [Davies Liu] test size of serialized Rating 44e0551 [Davies Liu] fix cache a379a81 [Davies Liu] fix pickle array in python2.7 df625c7 [Davies Liu] Merge commit '154d141' into pickle_mllib 154d141 [Davies Liu] fix autobatchedpickler 44736d7 [Davies Liu] speed up pickling array in Python 2.7 e1d1bfc [Davies Liu] refactor 708dc02 [Davies Liu] fix tests 9dcfb63 [Davies Liu] fix style 88034f0 [Davies Liu] rafactor, address comments 46a501e [Davies Liu] choose batch size automatically df19464 [Davies Liu] memorize the module and class name during pickleing f3506c5 [Davies Liu] Merge branch 'master' into pickle_mllib 722dd96 [Davies Liu] cleanup _common.py 0ee1525 [Davies Liu] remove outdated tests b02e34f [Davies Liu] remove _common.py 84c721d [Davies Liu] Merge branch 'master' into pickle_mllib 4d7963e [Davies Liu] remove muanlly serialization 6d26b03 [Davies Liu] fix tests c383544 [Davies Liu] classification f2a0856 [Davies Liu] mllib/regression d9f691f [Davies Liu] mllib/util cccb8b1 [Davies Liu] mllib/tree 8fe166a [Davies Liu] Merge branch 'pickle' into pickle_mllib aa2287e [Davies Liu] random f1544c4 [Davies Liu] refactor clustering 52d1350 [Davies Liu] use new protocol in mllib/stat b30ef35 [Davies Liu] use pickle to serialize data for mllib/recommendation f44f771 [Davies Liu] enable tests about array 3908f5c [Davies Liu] Merge branch 'master' into pickle c77c87b [Davies Liu] cleanup debugging code 60e4e2f [Davies Liu] support unpickle array.array for Python 2.6
* [PySpark] [SPARK-2954] [SPARK-2948] [SPARK-2910] [SPARK-2101] Python 2.6 FixesJosh Rosen2014-08-111-1/+6
| | | | | | | | | | | | | | | | | - Modify python/run-tests to test with Python 2.6 - Use unittest2 when running on Python 2.6. - Fix issue with namedtuple. - Skip TestOutputFormat.test_newhadoop on Python 2.6 until SPARK-2951 is fixed. - Fix MLlib _deserialize_double on Python 2.6. Closes #1868. Closes #1042. Author: Josh Rosen <joshrosen@apache.org> Closes #1874 from JoshRosen/python2.6 and squashes the following commits: 983d259 [Josh Rosen] [SPARK-2954] Fix MLlib _deserialize_double on Python 2.6. 5d18fd7 [Josh Rosen] [SPARK-2948] [SPARK-2910] [SPARK-2101] Python 2.6 fixes
* [SPARK-2627] [PySpark] have the build enforce PEP 8 automaticallyNicholas Chammas2014-08-061-4/+7
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | As described in [SPARK-2627](https://issues.apache.org/jira/browse/SPARK-2627), we'd like Python code to automatically be checked for PEP 8 compliance by Jenkins. This pull request aims to do that. Notes: * We may need to install [`pep8`](https://pypi.python.org/pypi/pep8) on the build server. * I'm expecting tests to fail now that PEP 8 compliance is being checked as part of the build. I'm fine with cleaning up any remaining PEP 8 violations as part of this pull request. * I did not understand why the RAT and scalastyle reports are saved to text files. I did the same for the PEP 8 check, but only so that the console output style can match those for the RAT and scalastyle checks. The PEP 8 report is removed right after the check is complete. * Updates to the ["Contributing to Spark"](https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark) guide will be submitted elsewhere, as I don't believe that text is part of the Spark repo. Author: Nicholas Chammas <nicholas.chammas@gmail.com> Author: nchammas <nicholas.chammas@gmail.com> Closes #1744 from nchammas/master and squashes the following commits: 274b238 [Nicholas Chammas] [SPARK-2627] [PySpark] minor indentation changes 983d963 [nchammas] Merge pull request #5 from apache/master 1db5314 [nchammas] Merge pull request #4 from apache/master 0e0245f [Nicholas Chammas] [SPARK-2627] undo erroneous whitespace fixes bf30942 [Nicholas Chammas] [SPARK-2627] PEP8: comment spacing 6db9a44 [nchammas] Merge pull request #3 from apache/master 7b4750e [Nicholas Chammas] merge upstream changes 91b7584 [Nicholas Chammas] [SPARK-2627] undo unnecessary line breaks 44e3e56 [Nicholas Chammas] [SPARK-2627] use tox.ini to exclude files b09fae2 [Nicholas Chammas] don't wrap comments unnecessarily bfb9f9f [Nicholas Chammas] [SPARK-2627] keep up with the PEP 8 fixes 9da347f [nchammas] Merge pull request #2 from apache/master aa5b4b5 [Nicholas Chammas] [SPARK-2627] follow Spark bash style for if blocks d0a83b9 [Nicholas Chammas] [SPARK-2627] check that pep8 downloaded fine dffb5dd [Nicholas Chammas] [SPARK-2627] download pep8 at runtime a1ce7ae [Nicholas Chammas] [SPARK-2627] space out test report sections 21da538 [Nicholas Chammas] [SPARK-2627] it's PEP 8, not PEP8 6f4900b [Nicholas Chammas] [SPARK-2627] more misc PEP 8 fixes fe57ed0 [Nicholas Chammas] removing merge conflict backups 9c01d4c [nchammas] Merge pull request #1 from apache/master 9a66cb0 [Nicholas Chammas] resolving merge conflicts a31ccc4 [Nicholas Chammas] [SPARK-2627] miscellaneous PEP 8 fixes beaa9ac [Nicholas Chammas] [SPARK-2627] fail check on non-zero status 723ed39 [Nicholas Chammas] always delete the report file 0541ebb [Nicholas Chammas] [SPARK-2627] call Python linter from run-tests 12440fa [Nicholas Chammas] [SPARK-2627] add Scala linter 61c07b9 [Nicholas Chammas] [SPARK-2627] add Python linter 75ad552 [Nicholas Chammas] make check output style consistent
* [SPARK-2478] [mllib] DecisionTree Python APIJoseph K. Bradley2014-08-021-0/+36
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Added experimental Python API for Decision Trees. API: * class DecisionTreeModel ** predict() for single examples and RDDs, taking both feature vectors and LabeledPoints ** numNodes() ** depth() ** __str__() * class DecisionTree ** trainClassifier() ** trainRegressor() ** train() Examples and testing: * Added example testing classification and regression with batch prediction: examples/src/main/python/mllib/tree.py * Have also tested example usage in doc of python/pyspark/mllib/tree.py which tests single-example prediction with dense and sparse vectors Also: Small bug fix in python/pyspark/mllib/_common.py: In _linear_predictor_typecheck, changed check for RDD to use isinstance() instead of type() in order to catch RDD subclasses. CC mengxr manishamde Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #1727 from jkbradley/decisiontree-python-new and squashes the following commits: 3744488 [Joseph K. Bradley] Renamed test tree.py to decision_tree_runner.py Small updates based on github review. 6b86a9d [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new affceb9 [Joseph K. Bradley] * Fixed bug in doc tests in pyspark/mllib/util.py caused by change in loadLibSVMFile behavior. (It used to threshold labels at 0 to make them 0/1, but it now leaves them as they are.) * Fixed small bug in loadLibSVMFile: If a data file had no features, then loadLibSVMFile would create a single all-zero feature. 67a29bc [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new cf46ad7 [Joseph K. Bradley] Python DecisionTreeModel * predict(empty RDD) returns an empty RDD instead of an error. * Removed support for calling predict() on LabeledPoint and RDD[LabeledPoint] * predict() does not cache serialized RDD any more. aa29873 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new bf21be4 [Joseph K. Bradley] removed old run() func from DecisionTree fa10ea7 [Joseph K. Bradley] Small style update 7968692 [Joseph K. Bradley] small braces typo fix e34c263 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 4801b40 [Joseph K. Bradley] Small style update to DecisionTreeSuite db0eab2 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix2' into decisiontree-python-new 6873fa9 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 225822f [Joseph K. Bradley] Bug: In DecisionTree, the method sequentialBinSearchForOrderedCategoricalFeatureInClassification() indexed bins from 0 to (math.pow(2, featureCategories.toInt - 1) - 1). This upper bound is the bound for unordered categorical features, not ordered ones. The upper bound should be the arity (i.e., max value) of the feature. 93953f1 [Joseph K. Bradley] Likely done with Python API. 6df89a9 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 4562c08 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 665ba78 [Joseph K. Bradley] Small updates towards Python DecisionTree API 188cb0d [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 6622247 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new b8fac57 [Joseph K. Bradley] Finished Python DecisionTree API and example but need to test a bit more. 2b20c61 [Joseph K. Bradley] Small doc and style updates 1b29c13 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 584449a [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new dab0b67 [Joseph K. Bradley] Added documentation for DecisionTree internals 8bb8aa0 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 978cfcf [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 6eed482 [Joseph K. Bradley] In DecisionTree: Changed from using procedural syntax for functions returning Unit to explicitly writing Unit return type. 376dca2 [Joseph K. Bradley] Updated meaning of maxDepth by 1 to fit scikit-learn and rpart. * In code, replaced usages of maxDepth <-- maxDepth + 1 * In params, replace settings of maxDepth <-- maxDepth - 1 e06e423 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new bab3f19 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 59750f8 [Joseph K. Bradley] * Updated Strategy to check numClassesForClassification only if algo=Classification. * Updates based on comments: ** DecisionTreeRunner *** Made dataFormat arg default to libsvm ** Small cleanups ** tree.Node: Made recursive helper methods private, and renamed them. 52e17c5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix f5a036c [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new da50db7 [Joseph K. Bradley] Added one more test to DecisionTreeSuite: stump with 2 continuous variables for binary classification. Caused problems in past, but fixed now. 8e227ea [Joseph K. Bradley] Changed Strategy so it only requires numClassesForClassification >= 2 for classification cd1d933 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 8ea8750 [Joseph K. Bradley] Bug fix: Off-by-1 when finding thresholds for splits for continuous features. 8a758db [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 5fe44ed [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 2283df8 [Joseph K. Bradley] 2 bug fixes. 73fbea2 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 5f920a1 [Joseph K. Bradley] Demonstration of bug before submitting fix: Updated DecisionTreeSuite so that 3 tests fail. Will describe bug in next commit. f825352 [Joseph K. Bradley] Wrote Python API and example for DecisionTree. Also added toString, depth, and numNodes methods to DecisionTreeModel.
* Fix PEP8 violations in Python mllib.Reynold Xin2014-05-251-17/+10
| | | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #871 from rxin/mllib-pep8 and squashes the following commits: 848416f [Reynold Xin] Fixed a typo in the previous cleanup (c -> sc). a8db4cd [Reynold Xin] Fix PEP8 violations in Python mllib.
* fix bugs of dot in pythonXusen Yin2014-04-221-4/+4
| | | | | | | | | | | | | | If there are no `transpose()` in `self.theta`, a *ValueError: matrices are not aligned* is occurring. The former test case just ignore this situation. Author: Xusen Yin <yinxusen@gmail.com> Closes #463 from yinxusen/python-naive-bayes and squashes the following commits: fcbe3bc [Xusen Yin] fix bugs of dot in python
* [WIP] SPARK-1430: Support sparse data in Python MLlibMatei Zaharia2014-04-151-0/+302
This PR adds a SparseVector class in PySpark and updates all the regression, classification and clustering algorithms and models to support sparse data, similar to MLlib. I chose to add this class because SciPy is quite difficult to install in many environments (more so than NumPy), but I plan to add support for SciPy sparse vectors later too, and make the methods work transparently on objects of either type. On the Scala side, we keep Python sparse vectors sparse and pass them to MLlib. We always return dense vectors from our models. Some to-do items left: - [x] Support SciPy's scipy.sparse matrix objects when SciPy is available. We can easily add a function to convert these to our own SparseVector. - [x] MLlib currently uses a vector with one extra column on the left to represent what we call LabeledPoint in Scala. Do we really want this? It may get annoying once you deal with sparse data since you must add/subtract 1 to each feature index when training. We can remove this API in 1.0 and use tuples for labeling. - [x] Explain how to use these in the Python MLlib docs. CC @mengxr, @joshrosen Author: Matei Zaharia <matei@databricks.com> Closes #341 from mateiz/py-ml-update and squashes the following commits: d52e763 [Matei Zaharia] Remove no-longer-needed slice code and handle review comments ea5a25a [Matei Zaharia] Fix remaining uses of copyto() after merge b9f97a3 [Matei Zaharia] Fix test 1e1bd0f [Matei Zaharia] Add MLlib logistic regression example in Python 88bc01f [Matei Zaharia] Clean up inheritance of LinearModel in Python, and expose its parametrs 37ab747 [Matei Zaharia] Fix some examples and docs due to changes in MLlib API da0f27e [Matei Zaharia] Added a MLlib K-means example and updated docs to discuss sparse data c48e85a [Matei Zaharia] Added some tests for passing lists as input, and added mllib/tests.py to run-tests script. a07ba10 [Matei Zaharia] Fix some typos and calculation of initial weights 74eefe7 [Matei Zaharia] Added LabeledPoint class in Python 889dde8 [Matei Zaharia] Support scipy.sparse matrices in all our algorithms and models ab244d1 [Matei Zaharia] Allow SparseVectors to be initialized using a dict a5d6426 [Matei Zaharia] Add linalg.py to run-tests script 0e7a3d8 [Matei Zaharia] Keep vectors sparse in Java when reading LabeledPoints eaee759 [Matei Zaharia] Update regression, classification and clustering models for sparse data 2abbb44 [Matei Zaharia] Further work to get linear models working with sparse data 154f45d [Matei Zaharia] Update docs, name some magic values 881fef7 [Matei Zaharia] Added a sparse vector in Python and made Java-Python format more compact
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