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12992 commits

Author SHA1 Message Date
Jacek Laskowski 416003b264 [DOCS] Small fixes to Spark on Yarn doc
* a follow-up to 16b6d18613 as `--num-executors` flag is not suppported.
* links + formatting

Author: Jacek Laskowski <jacek.laskowski@deepsense.io>

Closes #8762 from jaceklaskowski/docs-spark-on-yarn.
2015-09-15 20:42:33 +01:00
Xiangrui Meng 0d9ab01675 Closes #8738
Closes #8767
Closes #2491
Closes #6795
Closes #2096
Closes #7722
2015-09-15 12:25:31 -07:00
noelsmith 7ca30b505c [PYSPARK] [MLLIB] [DOCS] Replaced addversion with versionadded in mllib.random
Missed this when reviewing `pyspark.mllib.random` for SPARK-10275.

Author: noelsmith <mail@noelsmith.com>

Closes #8773 from noel-smith/mllib-random-versionadded-fix.
2015-09-15 12:23:20 -07:00
Marcelo Vanzin 8abef21dac [SPARK-10300] [BUILD] [TESTS] Add support for test tags in run-tests.py.
This change does two things:

- tag a few tests and adds the mechanism in the build to be able to disable those tags,
  both in maven and sbt, for both junit and scalatest suites.
- add some logic to run-tests.py to disable some tags depending on what files have
  changed; that's used to disable expensive tests when a module hasn't explicitly
  been changed, to speed up testing for changes that don't directly affect those
  modules.

Author: Marcelo Vanzin <vanzin@cloudera.com>

Closes #8437 from vanzin/test-tags.
2015-09-15 10:45:02 -07:00
Yuhao Yang c35fdcb7e9 [SPARK-10491] [MLLIB] move RowMatrix.dspr to BLAS
jira: https://issues.apache.org/jira/browse/SPARK-10491

We implemented dspr with sparse vector support in `RowMatrix`. This method is also used in WeightedLeastSquares and other places. It would be useful to move it to `linalg.BLAS`.

Let me know if new UT needed.

Author: Yuhao Yang <hhbyyh@gmail.com>

Closes #8663 from hhbyyh/movedspr.
2015-09-15 09:58:49 -07:00
Reynold Xin 09b7e7c198 Update version to 1.6.0-SNAPSHOT.
Author: Reynold Xin <rxin@databricks.com>

Closes #8350 from rxin/1.6.
2015-09-15 00:54:20 -07:00
Robin East 6503c4b5f3 [SPARK-10598] [DOCS]
Comments preceding toMessage method state: "The edge partition is encoded in the lower
   * 30 bytes of the Int, and the position is encoded in the upper 2 bytes of the Int.". References to bytes should be changed to bits.

This contribution is my original work and I license the work to the Spark project under it's open source license.

Author: Robin East <robin.east@xense.co.uk>

Closes #8756 from insidedctm/master.
2015-09-14 23:41:06 -07:00
Jacek Laskowski 833be73314 Small fixes to docs
Links work now properly + consistent use of *Spark standalone cluster* (Spark uppercase + lowercase the rest -- seems agreed in the other places in the docs).

Author: Jacek Laskowski <jacek.laskowski@deepsense.io>

Closes #8759 from jaceklaskowski/docs-submitting-apps.
2015-09-14 23:40:29 -07:00
Yu ISHIKAWA a2249359d5 [SPARK-10275] [MLLIB] Add @since annotation to pyspark.mllib.random
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>

Closes #8666 from yu-iskw/SPARK-10275.
2015-09-14 21:59:40 -07:00
noelsmith 610971ecfe [SPARK-10273] Add @since annotation to pyspark.mllib.feature
Duplicated the since decorator from pyspark.sql into pyspark (also tweaked to handle functions without docstrings).

Added since to methods + "versionadded::" to classes (derived from the git file history in pyspark).

Author: noelsmith <mail@noelsmith.com>

Closes #8633 from noel-smith/SPARK-10273-since-mllib-feature.
2015-09-14 21:58:52 -07:00
Yanbo Liang 4ae4d54794 [SPARK-9793] [MLLIB] [PYSPARK] PySpark DenseVector, SparseVector implement __eq__ and __hash__ correctly
PySpark DenseVector, SparseVector ```__eq__``` method should use semantics equality, and DenseVector can compared with SparseVector.
Implement PySpark DenseVector, SparseVector ```__hash__``` method based on the first 16 entries. That will make PySpark Vector objects can be used in collections.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #8166 from yanboliang/spark-9793.
2015-09-14 21:37:43 -07:00
Davies Liu 5520418100 [SPARK-10542] [PYSPARK] fix serialize namedtuple
Author: Davies Liu <davies@databricks.com>

Closes #8707 from davies/fix_namedtuple.
2015-09-14 19:46:34 -07:00
Matei Zaharia 1a0955250b [SPARK-9851] Support submitting map stages individually in DAGScheduler
This patch adds support for submitting map stages in a DAG individually so that we can make downstream decisions after seeing statistics about their output, as part of SPARK-9850. I also added more comments to many of the key classes in DAGScheduler. By itself, the patch is not super useful except maybe to switch between a shuffle and broadcast join, but with the other subtasks of SPARK-9850 we'll be able to do more interesting decisions.

The main entry point is SparkContext.submitMapStage, which lets you run a map stage and see stats about the map output sizes. Other stats could also be collected through accumulators. See AdaptiveSchedulingSuite for a short example.

Author: Matei Zaharia <matei@databricks.com>

Closes #8180 from mateiz/spark-9851.
2015-09-14 21:47:40 -04:00
Andrew Or 7b6c856367 [SPARK-10564] ThreadingSuite: assertion failures in threads don't fail the test (round 2)
This is a follow-up patch to #8723. I missed one case there.

Author: Andrew Or <andrew@databricks.com>

Closes #8727 from andrewor14/fix-threading-suite.
2015-09-14 15:09:43 -07:00
Forest Fang fd1e8cddf2 [SPARK-10543] [CORE] Peak Execution Memory Quantile should be Per-task Basis
Read `PEAK_EXECUTION_MEMORY` using `update` to get per task partial value instead of cumulative value.

I tested with this workload:

```scala
val size = 1000
val repetitions = 10
val data = sc.parallelize(1 to size, 5).map(x => (util.Random.nextInt(size / repetitions),util.Random.nextDouble)).toDF("key", "value")
val res = data.toDF.groupBy("key").agg(sum("value")).count
```

Before:
![image](https://cloud.githubusercontent.com/assets/4317392/9828197/07dd6874-58b8-11e5-9bd9-6ba927c38b26.png)

After:
![image](https://cloud.githubusercontent.com/assets/4317392/9828151/a5ddff30-58b7-11e5-8d31-eda5dc4eae79.png)

Tasks view:
![image](https://cloud.githubusercontent.com/assets/4317392/9828199/17dc2b84-58b8-11e5-92a8-be89ce4d29d1.png)

cc andrewor14 I appreciate if you can give feedback on this since I think you introduced display of this metric.

Author: Forest Fang <forest.fang@outlook.com>

Closes #8726 from saurfang/stagepage.
2015-09-14 15:07:13 -07:00
Tom Graves ffbbc2c58b [SPARK-10549] scala 2.11 spark on yarn with security - Repl doesn't work
Make this lazy so that it can set the yarn mode before creating the securityManager.

Author: Tom Graves <tgraves@yahoo-inc.com>
Author: Thomas Graves <tgraves@staydecay.corp.gq1.yahoo.com>

Closes #8719 from tgravescs/SPARK-10549.
2015-09-14 15:05:19 -07:00
Sean Owen 4e2242bb41 [SPARK-10576] [BUILD] Move .java files out of src/main/scala
Move .java files in `src/main/scala` to `src/main/java` root, except for `package-info.java` (to stay next to package.scala)

Author: Sean Owen <sowen@cloudera.com>

Closes #8736 from srowen/SPARK-10576.
2015-09-14 15:03:51 -07:00
Erick Tryzelaar 16b6d18613 [SPARK-10594] [YARN] Remove reference to --num-executors, add --properties-file
`ApplicationMaster` no longer has the `--num-executors` flag, and had an undocumented `--properties-file` configuration option.

cc srowen

Author: Erick Tryzelaar <erick.tryzelaar@gmail.com>

Closes #8754 from erickt/master.
2015-09-14 15:02:38 -07:00
zsxwing 217e496444 [SPARK-9996] [SPARK-9997] [SQL] Add local expand and NestedLoopJoin operators
This PR is in conflict with #8535 and #8573. Will update this one when they are merged.

Author: zsxwing <zsxwing@gmail.com>

Closes #8642 from zsxwing/expand-nest-join.
2015-09-14 15:00:27 -07:00
Edoardo Vacchi 64f04154e3 [SPARK-6981] [SQL] Factor out SparkPlanner and QueryExecution from SQLContext
Alternative to PR #6122; in this case the refactored out classes are replaced by inner classes with the same name for backwards binary compatibility

   * process in a lighter-weight, backwards-compatible way

Author: Edoardo Vacchi <uncommonnonsense@gmail.com>

Closes #6356 from evacchi/sqlctx-refactoring-lite.
2015-09-14 14:56:04 -07:00
Davies Liu 7e32387ae6 [SPARK-10522] [SQL] Nanoseconds of Timestamp in Parquet should be positive
Or Hive can't read it back correctly.

Thanks vanzin for report this.

Author: Davies Liu <davies@databricks.com>

Closes #8674 from davies/positive_nano.
2015-09-14 14:20:49 -07:00
Nick Pritchard 8a634e9bcc [SPARK-10573] [ML] IndexToString output schema should be StringType
Fixes bug where IndexToString output schema was DoubleType. Correct me if I'm wrong, but it doesn't seem like the output needs to have any "ML Attribute" metadata.

Author: Nick Pritchard <nicholas.pritchard@falkonry.com>

Closes #8751 from pnpritchard/SPARK-10573.
2015-09-14 13:27:45 -07:00
Yanbo Liang ce6f3f163b [SPARK-10194] [MLLIB] [PYSPARK] SGD algorithms need convergenceTol parameter in Python
[SPARK-3382](https://issues.apache.org/jira/browse/SPARK-3382) added a ```convergenceTol``` parameter for GradientDescent-based methods in Scala. We need that parameter in Python; otherwise, Python users will not be able to adjust that behavior (or even reproduce behavior from previous releases since the default changed).

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #8457 from yanboliang/spark-10194.
2015-09-14 12:08:52 -07:00
Kousuke Saruta cf2821ef5f [SPARK-10584] [DOC] [SQL] Documentation about spark.sql.hive.metastore.version is wrong.
The default value of hive metastore version is 1.2.1 but the documentation says the value of `spark.sql.hive.metastore.version` is 0.13.1.
Also, we cannot get the default value by `sqlContext.getConf("spark.sql.hive.metastore.version")`.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #8739 from sarutak/SPARK-10584.
2015-09-14 12:06:23 -07:00
Wenchen Fan 32407bfd2b [SPARK-9899] [SQL] log warning for direct output committer with speculation enabled
This is a follow-up of https://github.com/apache/spark/pull/8317.

When speculation is enabled, there may be multiply tasks writing to the same path. Generally it's OK as we will write to a temporary directory first and only one task can commit the temporary directory to target path.

However, when we use direct output committer, tasks will write data to target path directly without temporary directory. This causes problems like corrupted data. Please see [PR comment](https://github.com/apache/spark/pull/8191#issuecomment-131598385) for more details.

Unfortunately, we don't have a simple flag to tell if a output committer will write to temporary directory or not, so for safety, we have to disable any customized output committer when `speculation` is true.

Author: Wenchen Fan <cloud0fan@outlook.com>

Closes #8687 from cloud-fan/direct-committer.
2015-09-14 11:51:39 -07:00
Bertrand Dechoux d81565465c [SPARK-9720] [ML] Identifiable types need UID in toString methods
A few Identifiable types did override their toString method but without using the parent implementation. As a consequence, the uid was not present anymore in the toString result. It is the default behaviour.

This patch is a quick fix. The question of enforcement is still up.

No tests have been written to verify the toString method behaviour. That would be long to do because all types should be tested and not only those which have a regression now.

It is possible to enforce the condition using the compiler by making the toString method final but that would introduce unwanted potential API breaking changes (see jira).

Author: Bertrand Dechoux <BertrandDechoux@users.noreply.github.com>

Closes #8062 from BertrandDechoux/SPARK-9720.
2015-09-14 09:18:46 +01:00
Sean Owen 1dc614b874 [SPARK-10222] [GRAPHX] [DOCS] More thoroughly deprecate Bagel in favor of GraphX
Finish deprecating Bagel; remove reference to nonexistent example

Author: Sean Owen <sowen@cloudera.com>

Closes #8731 from srowen/SPARK-10222.
2015-09-13 08:36:46 +01:00
Josh Rosen b3a7480ab0 [SPARK-10330] Add Scalastyle rule to require use of SparkHadoopUtil JobContext methods
This is a followup to #8499 which adds a Scalastyle rule to mandate the use of SparkHadoopUtil's JobContext accessor methods and fixes the existing violations.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #8521 from JoshRosen/SPARK-10330-part2.
2015-09-12 16:23:55 -07:00
JihongMa f4a22808e0 [SPARK-6548] Adding stddev to DataFrame functions
Adding STDDEV support for DataFrame using 1-pass online /parallel algorithm to compute variance. Please review the code change.

Author: JihongMa <linlin200605@gmail.com>
Author: Jihong MA <linlin200605@gmail.com>
Author: Jihong MA <jihongma@jihongs-mbp.usca.ibm.com>
Author: Jihong MA <jihongma@Jihongs-MacBook-Pro.local>

Closes #6297 from JihongMA/SPARK-SQL.
2015-09-12 10:17:15 -07:00
Sean Owen 22730ad54d [SPARK-10547] [TEST] Streamline / improve style of Java API tests
Fix a few Java API test style issues: unused generic types, exceptions, wrong assert argument order

Author: Sean Owen <sowen@cloudera.com>

Closes #8706 from srowen/SPARK-10547.
2015-09-12 10:40:10 +01:00
Nithin Asokan 8285e3b0d3 [SPARK-10554] [CORE] Fix NPE with ShutdownHook
https://issues.apache.org/jira/browse/SPARK-10554

Fixes NPE when ShutdownHook tries to cleanup temporary folders

Author: Nithin Asokan <Nithin.Asokan@Cerner.com>

Closes #8720 from nasokan/SPARK-10554.
2015-09-12 09:50:49 +01:00
Daniel Imfeld 6d8367807c [SPARK-10566] [CORE] SnappyCompressionCodec init exception handling masks important error information
When throwing an IllegalArgumentException in SnappyCompressionCodec.init, chain the existing exception. This allows potentially important debugging info to be passed to the user.

Manual testing shows the exception chained properly, and the test suite still looks fine as well.

This contribution is my original work and I license the work to the project under the project's open source license.

Author: Daniel Imfeld <daniel@danielimfeld.com>

Closes #8725 from dimfeld/dimfeld-patch-1.
2015-09-12 09:19:59 +01:00
0x0FFF c34fc19765 [SPARK-9014] [SQL] Allow Python spark API to use built-in exponential operator
This PR addresses (SPARK-9014)[https://issues.apache.org/jira/browse/SPARK-9014]
Added functionality: `Column` object in Python now supports exponential operator `**`
Example:
```
from pyspark.sql import *
df = sqlContext.createDataFrame([Row(a=2)])
df.select(3**df.a,df.a**3,df.a**df.a).collect()
```
Outputs:
```
[Row(POWER(3.0, a)=9.0, POWER(a, 3.0)=8.0, POWER(a, a)=4.0)]
```

Author: 0x0FFF <programmerag@gmail.com>

Closes #8658 from 0x0FFF/SPARK-9014.
2015-09-11 15:19:04 -07:00
Andrew Or d74c6a143c [SPARK-10564] ThreadingSuite: assertion failures in threads don't fail the test
This commit ensures if an assertion fails within a thread, it will ultimately fail the test. Otherwise we end up potentially masking real bugs by not propagating assertion failures properly.

Author: Andrew Or <andrew@databricks.com>

Closes #8723 from andrewor14/fix-threading-suite.
2015-09-11 15:02:59 -07:00
Andrew Or c2af42b5f3 [SPARK-9990] [SQL] Local hash join follow-ups
1. Hide `LocalNodeIterator` behind the `LocalNode#asIterator` method
2. Add tests for this

Author: Andrew Or <andrew@databricks.com>

Closes #8708 from andrewor14/local-hash-join-follow-up.
2015-09-11 15:01:37 -07:00
zsxwing e626ac5f5c [SPARK-9992] [SPARK-9994] [SPARK-9998] [SQL] Implement the local TopK, sample and intersect operators
This PR is in conflict with #8535. I will update this one when #8535 gets merged.

Author: zsxwing <zsxwing@gmail.com>

Closes #8573 from zsxwing/more-local-operators.
2015-09-11 15:00:13 -07:00
Yash Datta 1eede3b254 [SPARK-7142] [SQL] Minor enhancement to BooleanSimplification Optimizer rule. Incorporate review comments
Adding changes suggested by cloud-fan  in #5700

cc marmbrus

Author: Yash Datta <Yash.Datta@guavus.com>

Closes #8716 from saucam/bool_simp.
2015-09-11 14:55:15 -07:00
Wenchen Fan d5d647380f [SPARK-10442] [SQL] fix string to boolean cast
When we cast string to boolean in hive, it returns `true` if the length of string is > 0, and spark SQL follows this behavior.

However, this behavior is very different from other SQL systems:

1. [presto](https://github.com/facebook/presto/blob/master/presto-main/src/main/java/com/facebook/presto/type/VarcharOperators.java#L89-L118) will return `true` for 't' 'true' '1', `false` for 'f' 'false' '0', throw exception for others.
2. [redshift](http://docs.aws.amazon.com/redshift/latest/dg/r_Boolean_type.html) will return `true` for 't' 'true' 'y' 'yes' '1', `false` for 'f' 'false' 'n' 'no' '0', null for others.
3. [postgresql](http://www.postgresql.org/docs/devel/static/datatype-boolean.html) will return `true` for 't' 'true' 'y' 'yes' 'on' '1', `false` for 'f' 'false' 'n' 'no' 'off' '0', throw exception for others.
4. [vertica](https://my.vertica.com/docs/5.0/HTML/Master/2983.htm) will return `true` for 't' 'true' 'y' 'yes' '1', `false` for 'f' 'false' 'n' 'no' '0', null for others.
5. [impala](http://www.cloudera.com/content/cloudera/en/documentation/cloudera-impala/latest/topics/impala_boolean.html) throw exception when try to cast string to boolean.
6. mysql, oracle, sqlserver don't have boolean type

Whether we should change the cast behavior according to other SQL system or not is not decided yet, this PR is a test to see if we changed, how many compatibility tests will fail.

Author: Wenchen Fan <cloud0fan@outlook.com>

Closes #8698 from cloud-fan/string2boolean.
2015-09-11 14:15:16 -07:00
Icaro Medeiros c373866774 [PYTHON] Fixed typo in exception message
Just fixing a typo in exception message, raised when attempting to pickle SparkContext.

Author: Icaro Medeiros <icaro.medeiros@gmail.com>

Closes #8724 from icaromedeiros/master.
2015-09-11 21:46:52 +01:00
tedyu b231ab8938 [SPARK-10546] Check partitionId's range in ExternalSorter#spill()
See this thread for background:
http://search-hadoop.com/m/q3RTt0rWvIkHAE81

We should check the range of partition Id and provide meaningful message through exception.

Alternatively, we can use abs() and modulo to force the partition Id into legitimate range. However, expectation is that user should correct the logic error in his / her code.

Author: tedyu <yuzhihong@gmail.com>

Closes #8703 from tedyu/master.
2015-09-11 21:45:45 +01:00
Yuhao Yang 5f46444765 [SPARK-8530] [ML] add python API for MinMaxScaler
jira: https://issues.apache.org/jira/browse/SPARK-8530

add python API for MinMaxScaler
jira for MinMaxScaler: https://issues.apache.org/jira/browse/SPARK-7514

Author: Yuhao Yang <hhbyyh@gmail.com>

Closes #7150 from hhbyyh/pythonMinMax.
2015-09-11 10:32:35 -07:00
Yin Huai 6ce0886eb0 [SPARK-10540] [SQL] Ignore HadoopFsRelationTest's "test all data types" if it is too flaky
If hadoopFsRelationSuites's "test all data types" is too flaky we can disable it for now.

https://issues.apache.org/jira/browse/SPARK-10540

Author: Yin Huai <yhuai@databricks.com>

Closes #8705 from yhuai/SPARK-10540-ignore.
2015-09-11 09:42:53 -07:00
Joseph K. Bradley 2e3a280754 [MINOR] [MLLIB] [ML] [DOC] Minor doc fixes for StringIndexer and MetadataUtils
Changes:
* Make Scala doc for StringIndexerInverse clearer.  Also remove Scala doc from transformSchema, so that the doc is inherited.
* MetadataUtils.scala: “ Helper utilities for tree-based algorithms” —> not just trees anymore

CC: holdenk mengxr

Author: Joseph K. Bradley <joseph@databricks.com>

Closes #8679 from jkbradley/doc-fixes-1.5.
2015-09-11 08:55:35 -07:00
Xiangrui Meng 960d2d0ac6 [SPARK-10537] [ML] document LIBSVM source options in public API doc and some minor improvements
We should document options in public API doc. Otherwise, it is hard to find out the options without looking at the code. I tried to make `DefaultSource` private and put the documentation to package doc. However, since then there exists no public class under `source.libsvm`, the Java package doc doesn't show up in the generated html file (http://bugs.java.com/bugdatabase/view_bug.do?bug_id=4492654). So I put the doc to `DefaultSource` instead. There are several minor updates in this PR:

1. Do `vectorType == "sparse"` only once.
2. Update `hashCode` and `equals`.
3. Remove inherited doc.
4. Delete temp dir in `afterAll`.

Lewuathe

Author: Xiangrui Meng <meng@databricks.com>

Closes #8699 from mengxr/SPARK-10537.
2015-09-11 08:53:40 -07:00
Yanbo Liang b01b262606 [SPARK-9773] [ML] [PySpark] Add Python API for MultilayerPerceptronClassifier
Add Python API for ```MultilayerPerceptronClassifier```.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #8067 from yanboliang/SPARK-9773.
2015-09-11 08:52:28 -07:00
Yanbo Liang b656e6134f [SPARK-10026] [ML] [PySpark] Implement some common Params for regression in PySpark
LinearRegression and LogisticRegression lack of some Params for Python, and some Params are not shared classes which lead we need to write them for each class. These kinds of Params are list here:
```scala
HasElasticNetParam
HasFitIntercept
HasStandardization
HasThresholds
```
Here we implement them in shared params at Python side and make LinearRegression/LogisticRegression parameters peer with Scala one.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #8508 from yanboliang/spark-10026.
2015-09-11 08:50:35 -07:00
y-shimizu c268ca4ddd [SPARK-10518] [DOCS] Update code examples in spark.ml user guide to use LIBSVM data source instead of MLUtils
I fixed to use LIBSVM data source in the example code in spark.ml instead of MLUtils

Author: y-shimizu <y.shimizu0429@gmail.com>

Closes #8697 from y-shimizu/SPARK-10518.
2015-09-11 08:27:30 -07:00
Ahir Reddy 9bbe33f318 [SPARK-10556] Remove explicit Scala version for sbt project build files
Previously, project/plugins.sbt explicitly set scalaVersion to 2.10.4. This can cause issues when using a version of sbt that is compiled against a different version of Scala (for example sbt 0.13.9 uses 2.10.5). Removing this explicit setting will cause build files to be compiled and run against the same version of Scala that sbt is compiled against.

Note that this only applies to the project build files (items in project/), it is distinct from the version of Scala we target for the actual spark compilation.

Author: Ahir Reddy <ahirreddy@gmail.com>

Closes #8709 from ahirreddy/sbt-scala-version-fix.
2015-09-11 13:06:14 +01:00
Cheng Lian e1d7f64296 [SPARK-10472] [SQL] Fixes DataType.typeName for UDT
Before this fix, `MyDenseVectorUDT.typeName` gives `mydensevecto`, which is not desirable.

Author: Cheng Lian <lian@databricks.com>

Closes #8640 from liancheng/spark-10472/udt-type-name.
2015-09-11 18:26:56 +08:00
Yanbo Liang a140dd77c6 [SPARK-10027] [ML] [PySpark] Add Python API missing methods for ml.feature
Missing method of ml.feature are listed here:
```StringIndexer``` lacks of parameter ```handleInvalid```.
```StringIndexerModel``` lacks of method ```labels```.
```VectorIndexerModel``` lacks of methods ```numFeatures``` and ```categoryMaps```.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #8313 from yanboliang/spark-10027.
2015-09-10 20:43:38 -07:00