DateType should not be restricted to `datetime.date` but accept `datetime.datetime` objects as well. Could someone with a little more insight verify this?
Author: ksonj <kson@siberie.de>
Closes#6057 from ksonj/dates and squashes the following commits:
68a158e [ksonj] DateType should find datetime.datetime acceptable too
The missing pieces in ml.classification for Python!
cc mengxr
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#6106 from brkyvz/ml-class and squashes the following commits:
dd78237 [Burak Yavuz] fix style
1048e29 [Burak Yavuz] ready for PR
Added `ml.feature.Bucketizer` to PySpark.
cc mengxr
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#6124 from brkyvz/ml-bucket and squashes the following commits:
05285be [Burak Yavuz] added sphinx doc
6abb6ed [Burak Yavuz] added support for Bucketizer
This builds on https://github.com/apache/spark/pull/5932 and should close https://github.com/apache/spark/pull/5932 as well.
As an example:
```python
df.select(when(df['age'] == 2, 3).otherwise(4).alias("age")).collect()
```
Author: Reynold Xin <rxin@databricks.com>
Author: kaka1992 <kaka_1992@163.com>
Closes#6072 from rxin/when-expr and squashes the following commits:
8f49201 [Reynold Xin] Throw exception if otherwise is applied twice.
0455eda [Reynold Xin] Reset run-tests.
bfb9d9f [Reynold Xin] Updated documentation and test cases.
762f6a5 [Reynold Xin] Merge pull request #5932 from kaka1992/IFCASE
95724c6 [kaka1992] Update
8218d0a [kaka1992] Update
801009e [kaka1992] Update
76d6346 [kaka1992] [SPARK-7321][SQL] Add Column expression for conditional statements (if, case)
Remove `Param` and `Params` from `pyspark.ml` and add a section in the doc. brkyvz
Author: Xiangrui Meng <meng@databricks.com>
Closes#6094 from mengxr/SPARK-7572 and squashes the following commits:
022abd6 [Xiangrui Meng] do not import Param/Params under spark.ml
Added LinearRegression Python API
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#6016 from brkyvz/ml-reg and squashes the following commits:
11c9ef9 [Burak Yavuz] address comments
1027a40 [Burak Yavuz] fix typo
4c699ad [Burak Yavuz] added tree regressor api
8afead2 [Burak Yavuz] made mixin for DT
fa51c74 [Burak Yavuz] save additions
0640d48 [Burak Yavuz] added ml.regression
82aac48 [Burak Yavuz] added linear regression
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#6003 from adrian-wang/pynareplace and squashes the following commits:
672efba [Daoyuan Wang] remove py2.7 feature
4a148f7 [Daoyuan Wang] to_replace support dict, value support single value, and add full tests
9e232e7 [Daoyuan Wang] rename scala map
af0268a [Daoyuan Wang] remove na
63ac579 [Daoyuan Wang] add na.replace in pyspark
Author: Reynold Xin <rxin@databricks.com>
Closes#6068 from rxin/drop-column and squashes the following commits:
9d7d5ec [Reynold Xin] [SPARK-7509][SQL] DataFrame.drop in Python for dropping columns.
This should also close https://github.com/apache/spark/pull/5870
Author: Reynold Xin <rxin@databricks.com>
Closes#6066 from rxin/dropDups and squashes the following commits:
130692f [Reynold Xin] [SPARK-7324][SQL] DataFrame.dropDuplicates
Author: Reynold Xin <rxin@databricks.com>
Closes#6062 from rxin/agg-retain-doc and squashes the following commits:
43e511e [Reynold Xin] [SPARK-7462][SQL] Update documentation for retaining grouping columns in DataFrames.
Updated Java, Scala, Python, and R.
Author: Reynold Xin <rxin@databricks.com>
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes#5996 from rxin/groupby-retain and squashes the following commits:
aac7119 [Reynold Xin] Merge branch 'groupby-retain' of github.com:rxin/spark into groupby-retain
f6858f6 [Reynold Xin] Merge branch 'master' into groupby-retain
5f923c0 [Reynold Xin] Merge pull request #15 from shivaram/sparkr-groupby-retrain
c1de670 [Shivaram Venkataraman] Revert workaround in SparkR to retain grouped cols Based on reverting code added in commit 9a6be746ef
b8b87e1 [Reynold Xin] Fixed DataFrameJoinSuite.
d910141 [Reynold Xin] Updated rest of the files
1e6e666 [Reynold Xin] [SPARK-7462] By default retain group by columns in aggregate
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#6044 from yanboliang/spark-6092 and squashes the following commits:
726a9b1 [Yanbo Liang] add newRankingMetrics
33f649c [Yanbo Liang] Add RankingMetrics in PySpark/MLlib
Modified 2 files:
python/pyspark/ml/param/_shared_params_code_gen.py
python/pyspark/ml/param/shared.py
Generated shared.py on Linux using Python 2.6.6 on Redhat Enterprise Linux Server 6.6.
python _shared_params_code_gen.py > shared.py
Only changed maxIter, regParam, rawPredictionCol based on strings from SharedParamsCodeGen.scala. Note warning was displayed when committing shared.py:
warning: LF will be replaced by CRLF in python/pyspark/ml/param/shared.py.
Author: Glenn Weidner <gweidner@us.ibm.com>
Closes#6023 from gweidner/br-7427 and squashes the following commits:
db72e32 [Glenn Weidner] [SPARK-7427] [PySpark] Make sharedParams match in Scala, Python
825e4a9 [Glenn Weidner] [SPARK-7427] [PySpark] Make sharedParams match in Scala, Python
e6a865e [Glenn Weidner] [SPARK-7427] [PySpark] Make sharedParams match in Scala, Python
1eee702 [Glenn Weidner] Merge remote-tracking branch 'upstream/master'
1ac10e5 [Glenn Weidner] Merge remote-tracking branch 'upstream/master'
cafd104 [Glenn Weidner] Merge remote-tracking branch 'upstream/master'
9bea1eb [Glenn Weidner] Merge remote-tracking branch 'upstream/master'
4a35c20 [Glenn Weidner] Merge remote-tracking branch 'upstream/master'
9790cbe [Glenn Weidner] Merge remote-tracking branch 'upstream/master'
d9c30f4 [Glenn Weidner] [SPARK-7275] [SQL] [WIP] Make LogicalRelation public
Fixes bug with PySpark cvModel not having UID
Also made small PySpark fixes: Evaluator should inherit from Params. MockModel should inherit from Model.
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#5968 from jkbradley/pyspark-cv-uid and squashes the following commits:
57f13cd [Joseph K. Bradley] Made CrossValidatorModel call parent init in PySpark
Author: Vinod K C <vinod.kc@huawei.com>
Closes#5974 from vinodkc/fix_countApproxDistinct_Validation and squashes the following commits:
3a3d59c [Vinod K C] Reverted removal of validation relativeSD<0.000017
799976e [Vinod K C] Removed testcase to assert IAE when relativeSD>3.7
8ddbfae [Vinod K C] Remove blank line
b1b00a3 [Vinod K C] Removed relativeSD validation from python API,RDD.scala will do validation
122d378 [Vinod K C] Fixed validation of relativeSD in countApproxDistinct
Adds Python Api for `ALS` under `ml.recommendation` in PySpark. Also adds seed as a settable parameter in the Scala Implementation of ALS.
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#6015 from brkyvz/ml-rec and squashes the following commits:
be6e931 [Burak Yavuz] addressed comments
eaed879 [Burak Yavuz] readd numFeatures
0bd66b1 [Burak Yavuz] fixed seed
7f6d964 [Burak Yavuz] merged master
52e2bda [Burak Yavuz] added ALS
Add a Python API for mllib.feature.ChiSqSelector
https://issues.apache.org/jira/browse/SPARK-5913
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5939 from yanboliang/spark-5913 and squashes the following commits:
cdaac99 [Yanbo Liang] Python API for ChiSqSelector
It's the first step: generalize UnresolvedGetField to support all map, struct, and array
TODO: add `apply` in Scala and `__getitem__` in Python, and unify the `getItem` and `getField` methods to one single API(or should we keep them for compatibility?).
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#5744 from cloud-fan/generalize and squashes the following commits:
715c589 [Wenchen Fan] address comments
7ea5b31 [Wenchen Fan] fix python test
4f0833a [Wenchen Fan] add python test
f515d69 [Wenchen Fan] add apply method and test cases
8df6199 [Wenchen Fan] fix python test
239730c [Wenchen Fan] fix test compile
2a70526 [Wenchen Fan] use _bin_op in dataframe.py
6bf72bc [Wenchen Fan] address comments
3f880c3 [Wenchen Fan] add java doc
ab35ab5 [Wenchen Fan] fix python test
b5961a9 [Wenchen Fan] fix style
c9d85f5 [Wenchen Fan] generalize UnresolvedGetField to support all map, struct, and array
Implemented python wrappers for Scala functions that don't exist in `ml.features`
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5991 from brkyvz/ml-feat-PR and squashes the following commits:
adcca55 [Burak Yavuz] add regex tokenizer to __all__
b91cb44 [Burak Yavuz] addressed comments
bd39fd2 [Burak Yavuz] remove addition
b82bd7c [Burak Yavuz] Parity in PySpark for ml.features
The compression is based on storage. brkyvz
Author: Xiangrui Meng <meng@databricks.com>
Closes#5985 from mengxr/SPARK-6948 and squashes the following commits:
df56a00 [Xiangrui Meng] update python tests
6d90d45 [Xiangrui Meng] compress vectors in VectorAssembler
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
https://issues.apache.org/jira/browse/SPARK-6093
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5941 from yanboliang/spark-6093 and squashes the following commits:
6934af3 [Yanbo Liang] change to @property
aac3bc5 [Yanbo Liang] Add RegressionMetrics in PySpark/MLlib
This patch adds a proxy call from PySpark to the Spark SQL coalesce function and this patch comes out of a discussion on devspark with rxin
This contribution is my original work and i license the work to the project under the project's open source license.
Olivier.
Author: Olivier Girardot <o.girardot@lateral-thoughts.com>
Closes#5698 from ogirardot/master and squashes the following commits:
d9a4439 [Olivier Girardot] SPARK-7118 Add the coalesce Spark SQL function available in PySpark
The wrapper required the implementation of the `ArrayParam`, because `Array[T]` is hard to obtain from Python. `ArrayParam` has an extra function called `wCast` which is an internal function to obtain `Array[T]` from `Seq[T]`
Author: Burak Yavuz <brkyvz@gmail.com>
Author: Xiangrui Meng <meng@databricks.com>
Closes#5930 from brkyvz/ml-feat and squashes the following commits:
73e745f [Burak Yavuz] Merge pull request #3 from mengxr/SPARK-7388
c221db9 [Xiangrui Meng] overload StringArrayParam.w
c81072d [Burak Yavuz] addressed comments
99c2ebf [Burak Yavuz] add to python_shared_params
39ecb07 [Burak Yavuz] fix scalastyle
7f7ea2a [Burak Yavuz] [SPARK-7388][SPARK-7383] wrapper for VectorAssembler in Python
Author: Shiti <ssaxena.ece@gmail.com>
Closes#5867 from Shiti/spark-7295 and squashes the following commits:
71a9913 [Shiti] implementation for bitwise and,or, not and xor on Column with tests and docs
Temporarily disable flaky doctest for CrossValidator. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#5962 from mengxr/disable-pyspark-cv-test and squashes the following commits:
5db7e5b [Xiangrui Meng] disable cv doctest
Since CrossValidator is a meta algorithm, we copy the implementation in Python. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#5926 from mengxr/SPARK-6940 and squashes the following commits:
6af181f [Xiangrui Meng] add TODOs
8285134 [Xiangrui Meng] update doc
060f7c3 [Xiangrui Meng] update doctest
acac727 [Xiangrui Meng] add keyword args
cdddecd [Xiangrui Meng] add CrossValidator in Python
After a discussion on the user mailing list, it was decided to put all UDF's under `o.a.s.sql.functions`
cc rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5923 from brkyvz/move-math-funcs and squashes the following commits:
a8dc3f7 [Burak Yavuz] address comments
cf7a7bb [Burak Yavuz] [SPARK-7358] Move DataFrame mathfunctions into functions
This PR adds `BinaryClassificationEvaluator` to Python ML Pipelines API, which is a simple wrapper of the Scala implementation. oefirouz
Author: Xiangrui Meng <meng@databricks.com>
Closes#5885 from mengxr/SPARK-7333 and squashes the following commits:
25d7451 [Xiangrui Meng] fix tests in python 3
babdde7 [Xiangrui Meng] fix doc
cb51e6a [Xiangrui Meng] add BinaryClassificationEvaluator in PySpark
Reduced take size from 1e8 to 1e6.
cc rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5900 from brkyvz/df-cont-followup and squashes the following commits:
c11e762 [Burak Yavuz] fix grammar
b30ace2 [Burak Yavuz] address comments
a417ba5 [Burak Yavuz] [SPARK-7243][SQL] Reduce size for Contingency Tables in DataFrames
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.
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
Computes a pair-wise frequency table of the given columns. Also known as cross-tabulation.
cc mengxr rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5842 from brkyvz/df-cont and squashes the following commits:
a07c01e [Burak Yavuz] addressed comments v4.1
ae9e01d [Burak Yavuz] fix test
9106585 [Burak Yavuz] addressed comments v4.0
bced829 [Burak Yavuz] fix merge conflicts
a63ad00 [Burak Yavuz] addressed comments v3.0
a0cad97 [Burak Yavuz] addressed comments v3.0
6805df8 [Burak Yavuz] addressed comments and fixed test
939b7c4 [Burak Yavuz] lint python
7f098bc [Burak Yavuz] add crosstab pyTest
fd53b00 [Burak Yavuz] added python support for crosstab
27a5a81 [Burak Yavuz] implemented crosstab
Author: 云峤 <chensong.cs@alibaba-inc.com>
Closes#5865 from kaka1992/df.show and squashes the following commits:
c79204b [云峤] Update
a1338f6 [云峤] Update python dataFrame show test and add empty df unit test.
734369c [云峤] Update python dataFrame show test and add empty df unit test.
84aec3e [云峤] Update python dataFrame show test and add empty df unit test.
159b3d5 [云峤] update
03ef434 [云峤] update
7394fd5 [云峤] update test show
ced487a [云峤] update pep8
b6e690b [云峤] Merge remote-tracking branch 'upstream/master' into df.show
30ac311 [云峤] [SPARK-7294] ADD BETWEEN
7d62368 [云峤] [SPARK-7294] ADD BETWEEN
baf839b [云峤] [SPARK-7294] ADD BETWEEN
d11d5b9 [云峤] [SPARK-7294] ADD BETWEEN
submitting this PR from a phone, excuse the brevity.
adds Pearson correlation to Dataframes, reusing the covariance calculation code
cc mengxr rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5858 from brkyvz/df-corr and squashes the following commits:
285b838 [Burak Yavuz] addressed comments v2.0
d10babb [Burak Yavuz] addressed comments v0.2
4b74b24 [Burak Yavuz] Merge branch 'master' of github.com:apache/spark into df-corr
4fe693b [Burak Yavuz] addressed comments v0.1
a682d06 [Burak Yavuz] ready for PR
as suggested by justinuang on #5601.
Author: Xiangrui Meng <meng@databricks.com>
Closes#5873 from mengxr/SPARK-7329 and squashes the following commits:
d08f9cf [Xiangrui Meng] simplify tests
b7a7b9b [Xiangrui Meng] simplify grid build
Author: Omede Firouz <ofirouz@palantir.com>
Author: Omede <omedefirouz@gmail.com>
Closes#5601 from oefirouz/paramgrid and squashes the following commits:
c9e2481 [Omede Firouz] Make test a doctest
9a8ce22 [Omede] Fix linter issues
8b8a6d2 [Omede Firouz] [SPARK-7022][PySpark][ML] Add ML.Tuning.ParamGridBuilder to PySpark
Author: Dean Chen <deanchen5@gmail.com>
Closes#5866 from deanchen/patch-1 and squashes the following commits:
0028bc4 [Dean Chen] Fix typo in Dataframes.py introduced in [SPARK-3444]
The python api for DataFrame's plus addressed your comments from previous PR.
rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5859 from brkyvz/df-freq-py2 and squashes the following commits:
f9aa9ce [Burak Yavuz] addressed comments v0.1
4b25056 [Burak Yavuz] added python api for freqItems
Add support for changing the log level at run time through the SparkContext. Based on an earlier PR, #2433 includes CR feedback from pwendel & davies
Author: Holden Karau <holden@pigscanfly.ca>
Closes#5791 from holdenk/SPARK-3444-provide-an-easy-way-to-change-log-level-r2 and squashes the following commits:
3bf3be9 [Holden Karau] fix exception
42ba873 [Holden Karau] fix exception
9117244 [Holden Karau] Only allow valid log levels, throw exception if invalid log level.
338d7bf [Holden Karau] rename setLoggingLevel to setLogLevel
fac14a0 [Holden Karau] Fix style errors
d9d03f3 [Holden Karau] Add support for changing the log level at run time through the SparkContext. Based on an earlier PR, #2433 includes CR feedback from @pwendel & @davies
i don't think this should be merged until after 1.3.0 is final
Author: cody koeninger <cody@koeninger.org>
Author: Helena Edelson <helena.edelson@datastax.com>
Closes#4537 from koeninger/wip-2808-kafka-0.8.2-upgrade and squashes the following commits:
803aa2c [cody koeninger] [SPARK-2808][Streaming][Kafka] code cleanup per TD
e6dfaf6 [cody koeninger] [SPARK-2808][Streaming][Kafka] pointless whitespace change to trigger jenkins again
1770abc [cody koeninger] [SPARK-2808][Streaming][Kafka] make waitUntilLeaderOffset easier to call, call it from python tests as well
d4267e9 [cody koeninger] [SPARK-2808][Streaming][Kafka] fix stderr redirect in python test script
30d991d [cody koeninger] [SPARK-2808][Streaming][Kafka] remove stderr prints since it breaks python 3 syntax
1d896e2 [cody koeninger] [SPARK-2808][Streaming][Kafka] add even even more logging to python test
4c4557f [cody koeninger] [SPARK-2808][Streaming][Kafka] add even more logging to python test
115aeee [cody koeninger] Merge branch 'master' into wip-2808-kafka-0.8.2-upgrade
2712649 [cody koeninger] [SPARK-2808][Streaming][Kafka] add more logging to python test, see why its timing out in jenkins
2b92d3f [cody koeninger] [SPARK-2808][Streaming][Kafka] wait for leader offsets in the java test as well
3824ce3 [cody koeninger] [SPARK-2808][Streaming][Kafka] naming / comments per tdas
61b3464 [cody koeninger] [SPARK-2808][Streaming][Kafka] delay for second send in boundary condition test
af6f3ec [cody koeninger] [SPARK-2808][Streaming][Kafka] delay test until latest leader offset matches expected value
9edab4c [cody koeninger] [SPARK-2808][Streaming][Kafka] more shots in the dark on jenkins failing test
c70ee43 [cody koeninger] [SPARK-2808][Streaming][Kafka] add more asserts to test, try to figure out why it fails on jenkins but not locally
1d10751 [cody koeninger] Merge branch 'master' into wip-2808-kafka-0.8.2-upgrade
ed02d2c [cody koeninger] [SPARK-2808][Streaming][Kafka] move default argument for api version to overloaded method, for binary compat
407382e [cody koeninger] [SPARK-2808][Streaming][Kafka] update kafka to 0.8.2.1
77de6c2 [cody koeninger] Merge branch 'master' into wip-2808-kafka-0.8.2-upgrade
6953429 [cody koeninger] [SPARK-2808][Streaming][Kafka] update kafka to 0.8.2
2e67c66 [Helena Edelson] #SPARK-2808 Update to Kafka 0.8.2.0 GA from beta.
d9dc2bc [Helena Edelson] Merge remote-tracking branch 'upstream/master' into wip-2808-kafka-0.8.2-upgrade
e768164 [Helena Edelson] #2808 update kafka to version 0.8.2
Adds
rank, recommendUsers and RecommendProducts to MatrixFactorizationModel in PySpark.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#5807 from MechCoder/spark-6257 and squashes the following commits:
09629c6 [MechCoder] doc
953b326 [MechCoder] [SPARK-6257] MLlib API missing items in Recommendation
Adds the functions `rand` (Uniform Dist) and `randn` (Normal Dist.) as expressions to DataFrames.
cc mengxr rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5819 from brkyvz/df-rng and squashes the following commits:
50d69d4 [Burak Yavuz] add seed for test that failed
4234c3a [Burak Yavuz] fix Rand expression
13cad5c [Burak Yavuz] couple fixes
7d53953 [Burak Yavuz] waiting for hive tests
b453716 [Burak Yavuz] move radn with seed down
03637f0 [Burak Yavuz] fix broken hive func
c5909eb [Burak Yavuz] deleted old implementation of Rand
6d43895 [Burak Yavuz] implemented random generators
small fixes regarding comments in PR #5761
cc rxin
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5795 from brkyvz/split-followup and squashes the following commits:
369c522 [Burak Yavuz] changed wording a little
1ea456f [Burak Yavuz] Addressed follow up comments
This is built on top of kaka1992 's PR #5711 using Logical plans.
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5761 from brkyvz/random-sample and squashes the following commits:
a1fb0aa [Burak Yavuz] remove unrelated file
69669c3 [Burak Yavuz] fix broken test
1ddb3da [Burak Yavuz] copy base
6000328 [Burak Yavuz] added python api and fixed test
3c11d1b [Burak Yavuz] fixed broken test
f400ade [Burak Yavuz] fix build errors
2384266 [Burak Yavuz] addressed comments v0.1
e98ebac [Burak Yavuz] [SPARK-7156][SQL] support RandomSplit in DataFrames
I believe column access via `__getattr__` is bad and shouldn't be implicitly encouraged by the error message when accessing a non-existing attribute on DataFrame. This patch changes the error message from 'no such column' to the more generic 'no such attribute', which is also what Pandas DFs will throw.
Author: ksonj <kson@siberie.de>
Closes#5771 from ksonj/master and squashes the following commits:
bcc2220 [ksonj] Better error message on access to non-existing attribute
Adds support for the math functions for DataFrames in PySpark.
rxin I love Davies.
Author: Burak Yavuz <brkyvz@gmail.com>
Closes#5750 from brkyvz/python-math-udfs and squashes the following commits:
7c4f563 [Burak Yavuz] removed is_math
3c4adde [Burak Yavuz] cleanup imports
d5dca3f [Burak Yavuz] moved math functions to mathfunctions
25e6534 [Burak Yavuz] addressed comments v2.0
d3f7e0f [Burak Yavuz] addressed comments and added tests
7b7d7c4 [Burak Yavuz] remove tests for removed methods
33c2c15 [Burak Yavuz] fixed python style
3ee0c05 [Burak Yavuz] added python functions
Added Matrix, SparseMatrix to __all__ list in linalg.py
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#5759 from jkbradley/SPARK-7208 and squashes the following commits:
deb51a2 [Joseph K. Bradley] Added Matrix, SparseMatrix to __all__ list in linalg.py
Currently only added `createDirectStream` API, I'm not sure if `createRDD` is also needed, since some Java object needs to be wrapped in Python. Please help to review, thanks a lot.
Author: jerryshao <saisai.shao@intel.com>
Author: Saisai Shao <saisai.shao@intel.com>
Closes#4723 from jerryshao/direct-kafka-python-api and squashes the following commits:
a1fe97c [jerryshao] Fix rebase issue
eebf333 [jerryshao] Address the comments
da40f4e [jerryshao] Fix Python 2.6 Syntax error issue
5c0ee85 [jerryshao] Style fix
4aeac18 [jerryshao] Fix bug in example code
7146d86 [jerryshao] Add unit test
bf3bdd6 [jerryshao] Add more APIs and address the comments
f5b3801 [jerryshao] Small style fix
8641835 [Saisai Shao] Rebase and update the code
589c05b [Saisai Shao] Fix the style
d6fcb6a [Saisai Shao] Address the comments
dfda902 [Saisai Shao] Style fix
0f7d168 [Saisai Shao] Add the doc and fix some style issues
67e6880 [Saisai Shao] Fix test bug
917b0db [Saisai Shao] Add Python createRDD API for Kakfa direct stream
c3fc11d [jerryshao] Modify the docs
2c00936 [Saisai Shao] address the comments
3360f44 [jerryshao] Fix code style
e0e0f0d [jerryshao] Code clean and bug fix
338c41f [Saisai Shao] Add python API and example for direct kafka stream
Author: Reynold Xin <rxin@databricks.com>
Closes#5705 from rxin/df-pid and squashes the following commits:
401018f [Reynold Xin] [SPARK-7152][SQL] Add a Column expression for partition ID.
This pr tries to provide a way to let python users workaround https://issues.apache.org/jira/browse/SPARK-6231.
Author: Yin Huai <yhuai@databricks.com>
Closes#5634 from yhuai/pythonDFAlias and squashes the following commits:
8465acd [Yin Huai] Add an alias to a Python DF.
Make PySpark ```FPGrowthModel.freqItemsets``` consistent with Java/Scala API like ```MatrixFactorizationModel.userFeatures```
It return a RDD with each tuple is composed of an array and a long value.
I think it's difficult to implement namedtuples to wrap the output because items of freqItemsets can be any type with arbitrary length which is tedious to impelement corresponding SerDe function.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5614 from yanboliang/spark-6827 and squashes the following commits:
da8c404 [Yanbo Liang] use namedtuple
5532e78 [Yanbo Liang] Wrap FPGrowthModel.freqItemsets and make it consistent with Java API
Author: Reynold Xin <rxin@databricks.com>
Closes#5638 from rxin/joinUsing and squashes the following commits:
13e9cc9 [Reynold Xin] Code review + Python.
b1bd914 [Reynold Xin] [SPARK-7059][SQL] Create a DataFrame join API to facilitate equijoin and self join.
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
SchemaRDD works with ALS.train in 1.2, so we should continue support DataFrames for compatibility. coderxiang
Author: Xiangrui Meng <meng@databricks.com>
Closes#5619 from mengxr/SPARK-7036 and squashes the following commits:
dfcaf5a [Xiangrui Meng] ALS.train should support DataFrames in PySpark
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
This PR enable auto_convert in JavaGateway, then we could register a converter for a given types, for example, date and datetime.
There are two bugs related to auto_convert, see [1] and [2], we workaround it in this PR.
[1] https://github.com/bartdag/py4j/issues/160
[2] https://github.com/bartdag/py4j/issues/161
cc rxin JoshRosen
Author: Davies Liu <davies@databricks.com>
Closes#5570 from davies/py4j_date and squashes the following commits:
eb4fa53 [Davies Liu] fix tests in python 3
d17d634 [Davies Liu] rollback changes in mllib
2e7566d [Davies Liu] convert tuple into ArrayList
ceb3779 [Davies Liu] Update rdd.py
3c373f3 [Davies Liu] support date and datetime by auto_convert
cb094ff [Davies Liu] enable auto convert
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
As a follow up PR to #5544.
cc davies
Author: Reynold Xin <rxin@databricks.com>
Closes#5558 from rxin/sort-doc-improvement and squashes the following commits:
f4c276f [Reynold Xin] Review feedback.
d2dcf24 [Reynold Xin] Minor fix to SPARK-6958: Improve Python docstring for DataFrame.sort.
```
select(['cola', 'colb'])
groupby(['colA', 'colB'])
groupby([df.colA, df.colB])
df.sort('A', ascending=True)
df.sort(['A', 'B'], ascending=True)
df.sort(['A', 'B'], ascending=[1, 0])
```
cc rxin
Author: Davies Liu <davies@databricks.com>
Closes#5544 from davies/compatibility and squashes the following commits:
4944058 [Davies Liu] add docstrings
adb2816 [Davies Liu] Merge branch 'master' of github.com:apache/spark into compatibility
bcbbcab [Davies Liu] support ascending as list
8dabdf0 [Davies Liu] improve API compatibility to pandas
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.
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
This PR change the internal representation for StringType from java.lang.String to UTF8String, which is implemented use ArrayByte.
This PR should not break any public API, Row.getString() will still return java.lang.String.
This is the first step of improve the performance of String in SQL.
cc rxin
Author: Davies Liu <davies@databricks.com>
Closes#5350 from davies/string and squashes the following commits:
3b7bfa8 [Davies Liu] fix schema of AddJar
2772f0d [Davies Liu] fix new test failure
6d776a9 [Davies Liu] Merge branch 'master' of github.com:apache/spark into string
59025c8 [Davies Liu] address comments from @marmbrus
341ec2c [Davies Liu] turn off scala style check in UTF8StringSuite
744788f [Davies Liu] Merge branch 'master' of github.com:apache/spark into string
b04a19c [Davies Liu] add comment for getString/setString
08d897b [Davies Liu] Merge branch 'master' of github.com:apache/spark into string
5116b43 [Davies Liu] rollback unrelated changes
1314a37 [Davies Liu] address comments from Yin
867bf50 [Davies Liu] fix String filter push down
13d9d42 [Davies Liu] Merge branch 'master' of github.com:apache/spark into string
2089d24 [Davies Liu] add hashcode check back
ac18ae6 [Davies Liu] address comment
fd11364 [Davies Liu] optimize UTF8String
8d17f21 [Davies Liu] fix hive compatibility tests
e5fa5b8 [Davies Liu] remove clone in UTF8String
28f3d81 [Davies Liu] Merge branch 'master' of github.com:apache/spark into string
28d6f32 [Davies Liu] refactor
537631c [Davies Liu] some comment about Date
9f4c194 [Davies Liu] convert data type for data source
956b0a4 [Davies Liu] fix hive tests
73e4363 [Davies Liu] Merge branch 'master' of github.com:apache/spark into string
9dc32d1 [Davies Liu] fix some hive tests
23a766c [Davies Liu] refactor
8b45864 [Davies Liu] fix codegen with UTF8String
bb52e44 [Davies Liu] fix scala style
c7dd4d2 [Davies Liu] fix some catalyst tests
38c303e [Davies Liu] fix python sql tests
5f9e120 [Davies Liu] fix sql tests
6b499ac [Davies Liu] fix style
a85fb27 [Davies Liu] refactor
d32abd1 [Davies Liu] fix utf8 for python api
4699c3a [Davies Liu] use Array[Byte] in UTF8String
21f67c6 [Davies Liu] cleanup
685fd07 [Davies Liu] use UTF8String instead of String for StringType
Currently, the created broadcast object will have same life cycle as RDD in Python. For multistage jobs, an PythonRDD will be created in JVM and the RDD in Python may be GCed, then the broadcast will be destroyed in JVM before the PythonRDD.
This PR change to use PythonRDD to track the lifecycle of the broadcast object. It also have a refactor about getNumPartitions() to avoid unnecessary creation of PythonRDD, which could be heavy.
cc JoshRosen
Author: Davies Liu <davies@databricks.com>
Closes#5496 from davies/big_closure and squashes the following commits:
9a0ea4c [Davies Liu] fix big closure with shuffle
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
It's possible to have two DataType object with same id (memory address) at different time, we should check the cached classes to verify that it's generated by given datatype.
This PR also change `__FIELDS__` and `__DATATYPE__` to lower case to match Python code style.
Author: Davies Liu <davies@databricks.com>
Closes#5445 from davies/fix_type_cache and squashes the following commits:
63b3238 [Davies Liu] typo
47bdede [Davies Liu] fix cached classes
Author: Davies Liu <davies@databricks.com>
Closes#5404 from davies/check_version and squashes the following commits:
e559248 [Davies Liu] add tests
ec33b5f [Davies Liu] check the python version in worker
The samples should always be sorted in ascending order, because bisect.bisect_left is used on it. The reverse order of the result is already achieved in rangePartitioner by reversing the found index.
The current implementation also work, but always uses only two partitions -- the first one and the last one (because the bisect_left return returns either "beginning" or "end" for a descending sequence).
Author: Milan Straka <fox@ucw.cz>
This patch had conflicts when merged, resolved by
Committer: Josh Rosen <joshrosen@databricks.com>
Closes#4761 from foxik/fix-descending-sort and squashes the following commits:
95896b5 [Milan Straka] Add regression test for SPARK-5969.
5757490 [Milan Straka] Fix descending pyspark.rdd.sortByKey.
Refactor the Kafka unit test and add Python API support. CC tdas davies please help to review, thanks a lot.
Author: jerryshao <saisai.shao@intel.com>
Author: Saisai Shao <saisai.shao@intel.com>
Closes#4961 from jerryshao/SPARK-6211 and squashes the following commits:
ee4b919 [jerryshao] Fixed newly merged issue
82c756e [jerryshao] Address the comments
92912d1 [jerryshao] Address the commits
0708bb1 [jerryshao] Fix rebase issue
40b47a3 [Saisai Shao] Style fix
f889657 [Saisai Shao] Update the code according
8a2f3e2 [jerryshao] Address the issues
0f1b7ce [jerryshao] Still fix the bug
61a04f0 [jerryshao] Fix bugs and address the issues
64d9877 [jerryshao] Fix rebase bugs
8ad442f [jerryshao] Add kafka-assembly in run-tests
6020b00 [jerryshao] Add more debug info in Shell
8102d6e [jerryshao] Fix bug in Jenkins test
fde1213 [jerryshao] Code style changes
5536f95 [jerryshao] Refactor the Kafka unit test and add Python Kafka unittest support
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
This patch change groupByKey() to use external sort based approach, so it can support single huge key.
For example, it can group by a dataset including one hot key with 40 millions values (strings), using 500M memory for Python worker, finished in about 2 minutes. (it will need 6G memory in hash based approach).
During groupByKey(), it will do in-memory groupBy first. If the dataset can not fit in memory, then data will be partitioned by hash. If one partition still can not fit in memory, it will switch to sort based groupBy().
Author: Davies Liu <davies.liu@gmail.com>
Author: Davies Liu <davies@databricks.com>
Closes#1977 from davies/groupby and squashes the following commits:
af3713a [Davies Liu] make sure it's iterator
67772dd [Davies Liu] fix tests
e78c15c [Davies Liu] address comments
0b0fde8 [Davies Liu] address comments
0dcf320 [Davies Liu] address comments, rollback changes in ResultIterable
e3b8eab [Davies Liu] fix narrow dependency
2a1857a [Davies Liu] typo
d2f053b [Davies Liu] add repr for FlattedValuesSerializer
c6a2f8d [Davies Liu] address comments
9e2df24 [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
2b9c261 [Davies Liu] fix typo in comments
70aadcd [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
a14b4bd [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
ab5515b [Davies Liu] Merge branch 'master' into groupby
651f891 [Davies Liu] simplify GroupByKey
1578f2e [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
1f69f93 [Davies Liu] fix tests
0d3395f [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
341f1e0 [Davies Liu] add comments, refactor
47918b8 [Davies Liu] remove unused code
6540948 [Davies Liu] address comments:
17f4ec6 [Davies Liu] Merge branch 'master' of github.com:apache/spark into groupby
4d4bc86 [Davies Liu] bugfix
8ef965e [Davies Liu] Merge branch 'master' into groupby
fbc504a [Davies Liu] Merge branch 'master' into groupby
779ed03 [Davies Liu] fix merge conflict
2c1d05b [Davies Liu] refactor, minor turning
b48cda5 [Davies Liu] Merge branch 'master' into groupby
85138e6 [Davies Liu] Merge branch 'master' into groupby
acd8e1b [Davies Liu] fix memory when groupByKey().count()
905b233 [Davies Liu] Merge branch 'sort' into groupby
1f075ed [Davies Liu] Merge branch 'master' into sort
4b07d39 [Davies Liu] compress the data while spilling
0a081c6 [Davies Liu] Merge branch 'master' into groupby
f157fe7 [Davies Liu] Merge branch 'sort' into groupby
eb53ca6 [Davies Liu] Merge branch 'master' into sort
b2dc3bf [Davies Liu] Merge branch 'sort' into groupby
644abaf [Davies Liu] add license in LICENSE
19f7873 [Davies Liu] improve tests
11ba318 [Davies Liu] typo
085aef8 [Davies Liu] Merge branch 'master' into groupby
3ee58e5 [Davies Liu] switch to sort based groupBy, based on size of data
1ea0669 [Davies Liu] choose sort based groupByKey() automatically
b40bae7 [Davies Liu] bugfix
efa23df [Davies Liu] refactor, add spark.shuffle.sort=False
250be4e [Davies Liu] flatten the combined values when dumping into disks
d05060d [Davies Liu] group the same key before shuffle, reduce the comparison during sorting
083d842 [Davies Liu] sorted based groupByKey()
55602ee [Davies Liu] use external sort in sortBy() and sortByKey()
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
<!-- Reviewable:start -->
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Author: Cheng Lian <lian@databricks.com>
Closes#5349 from liancheng/py-refresh-table and squashes the following commits:
004bec0 [Cheng Lian] Adds HiveContext.refreshTable to PySpark
Use `sqlContext` in PySpark shell, make it consistent with SQL programming guide. `sqlCtx` is also kept for compatibility.
Author: Davies Liu <davies@databricks.com>
Closes#5425 from davies/sqlCtx and squashes the following commits:
af67340 [Davies Liu] sqlCtx -> sqlContext
15a278f [Davies Liu] use sqlContext in python shell
....
In particular, this makes pyspark in yarn-cluster mode fail unless
SPARK_HOME is set, when it's not really needed.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#5405 from vanzin/SPARK-6506 and squashes the following commits:
e184507 [Marcelo Vanzin] [SPARK-6506] [pyspark] Do not try to retrieve SPARK_HOME when not needed.
... 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
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
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
The reused address on server side had caused the server can not acknowledge the connected connections, remove it.
This PR will retry once after timeout, it also add a timeout at client side.
Author: Davies Liu <davies@databricks.com>
Closes#5324 from davies/collect_hang and squashes the following commits:
e5a51a2 [Davies Liu] remove setReuseAddress
7977c2f [Davies Liu] do retry on client side
b838f35 [Davies Liu] retry after timeout
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
Use `f.__repr__()` instead of `f.__name__` when instantiating `UserDefinedFunction`s, so `functools.partial`s may be used.
Author: ksonj <kson@siberie.de>
Closes#5206 from ksonj/partials and squashes the following commits:
ea66f3d [ksonj] Inserted blank lines for PEP8 compliance
d81b02b [ksonj] added tests for udf with partial function and callable object
2c76100 [ksonj] Makes UDFs work with all types of callables
b814a12 [ksonj] support functools.partial as udf
(cherry picked from commit 98f72dfc17)
Signed-off-by: Josh Rosen <joshrosen@databricks.com>
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
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
fixed python doc build warnings
CC whomever wants to review: rxin mengxr davies
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#5317 from jkbradley/python-doc-warnings and squashes the following commits:
4cd43c2 [Joseph K. Bradley] fixed python doc build warnings
Users should be able to use numpy operators directly on dense vectors. davies atalwalkar
Author: Xiangrui Meng <meng@databricks.com>
Closes#5312 from mengxr/SPARK-6651 and squashes the following commits:
e665c5c [Xiangrui Meng] wrap the result in a dense vector
23dfca3 [Xiangrui Meng] delegate dense vector arithmetics to the underlying numpy array
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)
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
To maintain consistency with the Scala API.
Author: Reynold Xin <rxin@databricks.com>
Closes#5284 from rxin/df-na-alias and squashes the following commits:
19f46b7 [Reynold Xin] Show DataFrameNaFunctions in docs.
6618118 [Reynold Xin] [SPARK-6623][SQL] Alias DataFrame.na.drop and DataFrame.na.fill in Python.
This pull request adds variants of DataFrame.na.drop and DataFrame.na.fill to the Scala/Java API, and DataFrame.fillna and DataFrame.dropna to the Python API.
Author: Reynold Xin <rxin@databricks.com>
Closes#5274 from rxin/df-missing-value and squashes the following commits:
4ee1b98 [Reynold Xin] Improve error reporting in Python.
33a330c [Reynold Xin] Remove replace for now.
bc4fdbb [Reynold Xin] Added documentation for replace.
d56f5a5 [Reynold Xin] Added replace for Scala/Java.
2385d00 [Reynold Xin] Feedback from Xiangrui on "how".
914a374 [Reynold Xin] fill with map.
185c67e [Reynold Xin] Allow specifying column subsets in fill.
749eb47 [Reynold Xin] fillna
249b94e [Reynold Xin] Removing undefined functions.
6a73c68 [Reynold Xin] Missing file.
67d7003 [Reynold Xin] [SPARK-6119][SQL] DataFrame.na.drop (Scala/Java) and DataFrame.dropna (Python)
This PR create an alias for `registerFunction` as `udf.register`, to be consistent with Scala API.
It also deprecated inferSchema() and applySchema(), show an warning for them.
cc rxin
Author: Davies Liu <davies@databricks.com>
Closes#5273 from davies/udf and squashes the following commits:
476e947 [Davies Liu] address comments
c096fdb [Davies Liu] add SQLContext.udf and deprecate inferSchema() and applySchema
