This patch changes Spark's build to make Scala 2.11 the default Scala version. To be clear, this does not mean that Spark will stop supporting Scala 2.10: users will still be able to compile Spark for Scala 2.10 by following the instructions on the "Building Spark" page; however, it does mean that Scala 2.11 will be the default Scala version used by our CI builds (including pull request builds).
The Scala 2.11 compiler is faster than 2.10, so I think we'll be able to look forward to a slight speedup in our CI builds (it looks like it's about 2X faster for the Maven compile-only builds, for instance).
After this patch is merged, I'll update Jenkins to add new compile-only jobs to ensure that Scala 2.10 compilation doesn't break.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10608 from JoshRosen/SPARK-6363.
Fix Java function API methods for flatMap and mapPartitions to require producing only an Iterator, not Iterable. Also fix DStream.flatMap to require a function producing TraversableOnce only, not Traversable.
CC rxin pwendell for API change; tdas since it also touches streaming.
Author: Sean Owen <sowen@cloudera.com>
Closes#10413 from srowen/SPARK-3369.
Without importing the print_function, the lines later on like ```print("Usage: direct_kafka_wordcount.py <broker_list> <topic>", file=sys.stderr)``` fail when using python2.*. Import fixes that problem and doesn't break anything on python3 either.
Author: Mark Grover <mark@apache.org>
Closes#10872 from markgrover/python2_compat.
Include the following changes:
1. Add "streaming-akka" project and org.apache.spark.streaming.akka.AkkaUtils for creating an actorStream
2. Remove "StreamingContext.actorStream" and "JavaStreamingContext.actorStream"
3. Update the ActorWordCount example and add the JavaActorWordCount example
4. Make "streaming-zeromq" depend on "streaming-akka" and update the codes accordingly
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10744 from zsxwing/streaming-akka-2.
This pull request removes the external block store API. This is rarely used, and the file system interface is actually a better, more standard way to interact with external storage systems.
There are some other things to remove also, as pointed out by JoshRosen. We will do those as follow-up pull requests.
Author: Reynold Xin <rxin@databricks.com>
Closes#10752 from rxin/remove-offheap.
Fix the style violation (space before , and :).
This PR is a followup for #10643.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes#10685 from sarutak/SPARK-12692-followup-streaming.
PySpark MLlib ```GaussianMixtureModel``` should support single instance ```predict/predictSoft``` just like Scala do.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#10552 from yanboliang/spark-12603.
According to the documentation the sortByKey method does not take a lambda as an argument, thus the example is flawed. Removed the argument completely as this will default to ascending sort.
Author: Udo Klein <git@blinkenlight.net>
Closes#10640 from udoklein/patch-1.
This is a hotfix for a build bug introduced by the Netty exclusion changes in #10672. We can't exclude `io.netty:netty` because Akka depends on it. There's not a direct conflict between `io.netty:netty` and `io.netty:netty-all`, because the former puts classes in the `org.jboss.netty` namespace while the latter uses the `io.netty` namespace. However, there still is a conflict between `org.jboss.netty:netty` and `io.netty:netty`, so we need to continue to exclude the JBoss version of that artifact.
While the diff here looks somewhat large, note that this is only a revert of a some of the changes from #10672. You can see the net changes in pom.xml at 3119206b71...5211ab8 (diff-600376dffeb79835ede4a0b285078036)
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10693 from JoshRosen/netty-hotfix.
Netty classes are published under multiple artifacts with different names, so our build needs to exclude the `io.netty:netty` and `org.jboss.netty:netty` versions of the Netty artifact. However, our existing exclusions were incomplete, leading to situations where duplicate Netty classes would wind up on the classpath and cause compile errors (or worse).
This patch fixes the exclusion issue by adding more exclusions and uses Maven Enforcer's [banned dependencies](https://maven.apache.org/enforcer/enforcer-rules/bannedDependencies.html) rule to prevent these classes from accidentally being reintroduced. I also updated `dev/test-dependencies.sh` to run `mvn validate` so that the enforcer rules can run as part of pull request builds.
/cc rxin srowen pwendell. I'd like to backport at least the exclusion portion of this fix to `branch-1.5` in order to fix the documentation publishing job, which fails nondeterministically due to incompatible versions of Netty classes taking precedence on the compile-time classpath.
Author: Josh Rosen <rosenville@gmail.com>
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10672 from JoshRosen/enforce-netty-exclusions.
Fix the style violation (space before , and :).
This PR is a followup for #10643.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes#10684 from sarutak/SPARK-12692-followup-mllib.
Replace Guava `Optional` with (an API clone of) Java 8 `java.util.Optional` (edit: and a clone of Guava `Optional`)
See also https://github.com/apache/spark/pull/10512
Author: Sean Owen <sowen@cloudera.com>
Closes#10513 from srowen/SPARK-4819.
Fix most build warnings: mostly deprecated API usages. I'll annotate some of the changes below. CC rxin who is leading the charge to remove the deprecated APIs.
Author: Sean Owen <sowen@cloudera.com>
Closes#10570 from srowen/SPARK-12618.
This PR includes the following changes:
1. Rename `ActorReceiver` to `ActorReceiverSupervisor`
2. Remove `ActorHelper`
3. Add a new `ActorReceiver` for Scala and `JavaActorReceiver` for Java
4. Add `JavaActorWordCount` example
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10457 from zsxwing/java-actor-stream.
I looked at each case individually and it looks like they can all be removed. The only one that I had to think twice was toArray (I even thought about un-deprecating it, until I realized it was a problem in Java to have toArray returning java.util.List).
Author: Reynold Xin <rxin@databricks.com>
Closes#10569 from rxin/SPARK-12615.
We switched to TorrentBroadcast in Spark 1.1, and HttpBroadcast has been undocumented since then. It's time to remove it in Spark 2.0.
Author: Reynold Xin <rxin@databricks.com>
Closes#10531 from rxin/SPARK-12588.
This PR adds Scala, Java and Python examples to show how to use Accumulator and Broadcast in Spark Streaming to support checkpointing.
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10385 from zsxwing/accumulator-broadcast-example.
Example of joining a static RDD of word sentiments to a streaming RDD of Tweets in order to demo the usage of the transform() method.
Author: Jeff L <sha0lin@alumni.carnegiemellon.edu>
Closes#8431 from Agent007/SPARK-9057.
String.split accepts a regular expression, so we should escape "." and "|".
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10361 from zsxwing/reg-bug.
We have DataFrame example for SparkR, we also need to add ML example under ```examples/src/main/r```.
cc mengxr jkbradley shivaram
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#10324 from yanboliang/spark-12364.
This PR includes only an example code in order to finish it quickly.
I'll send another PR for the docs soon.
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#9952 from yu-iskw/SPARK-6518.
Rename ```weights``` to ```coefficients``` for examples/DeveloperApiExample.
cc mengxr jkbradley
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#10280 from yanboliang/spark-coefficients.
Since ```Dataset``` has a new meaning in Spark 1.6, we should rename it to avoid confusion.
#9873 finished the work of Scala example, here we focus on the Python one.
Move dataset_example.py to ```examples/ml``` and rename to ```dataframe_example.py```.
BTW, fix minor missing issues of #9873.
cc mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9957 from yanboliang/SPARK-11978.
* ```jsonFile``` should support multiple input files, such as:
```R
jsonFile(sqlContext, c(“path1”, “path2”)) # character vector as arguments
jsonFile(sqlContext, “path1,path2”)
```
* Meanwhile, ```jsonFile``` has been deprecated by Spark SQL and will be removed at Spark 2.0. So we mark ```jsonFile``` deprecated and use ```read.json``` at SparkR side.
* Replace all ```jsonFile``` with ```read.json``` at test_sparkSQL.R, but still keep jsonFile test case.
* If this PR is accepted, we should also make almost the same change for ```parquetFile```.
cc felixcheung sun-rui shivaram
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#10145 from yanboliang/spark-12146.
Adding ability to define an initial state RDD for use with updateStateByKey PySpark. Added unit test and changed stateful_network_wordcount example to use initial RDD.
Author: Bryan Cutler <bjcutler@us.ibm.com>
Closes#10082 from BryanCutler/initial-rdd-updateStateByKey-SPARK-11713.
SPARK-12244:
Based on feedback from early users and personal experience attempting to explain it, the name trackStateByKey had two problem.
"trackState" is a completely new term which really does not give any intuition on what the operation is
the resultant data stream of objects returned by the function is called in docs as the "emitted" data for the lack of a better.
"mapWithState" makes sense because the API is like a mapping function like (Key, Value) => T with State as an additional parameter. The resultant data stream is "mapped data". So both problems are solved.
SPARK-12245:
From initial experiences, not having the key in the function makes it hard to return mapped stuff, as the whole information of the records is not there. Basically the user is restricted to doing something like mapValue() instead of map(). So adding the key as a parameter.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#10224 from tdas/rename.
Documentation regarding the `IndexToString` label transformer with code snippets in Scala/Java/Python.
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#10166 from BenFradet/SPARK-12159.
jira: https://issues.apache.org/jira/browse/SPARK-11605
Check Java compatibility for MLlib for this release.
fix:
1. `StreamingTest.registerStream` needs java friendly interface.
2. `GradientBoostedTreesModel.computeInitialPredictionAndError` and `GradientBoostedTreesModel.updatePredictionError` has java compatibility issue. Mark them as `developerAPI`.
TBD:
[updated] no fix for now per discussion.
`org.apache.spark.mllib.classification.LogisticRegressionModel`
`public scala.Option<java.lang.Object> getThreshold();` has wrong return type for Java invocation.
`SVMModel` has the similar issue.
Yet adding a `scala.Option<java.util.Double> getThreshold()` would result in an overloading error due to the same function signature. And adding a new function with different name seems to be not necessary.
cc jkbradley feynmanliang
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#10102 from hhbyyh/javaAPI.
jira: https://issues.apache.org/jira/browse/SPARK-10393
Since the logic of the text processing part has been moved to ML estimators/transformers, replace the related code in LDA Example with the ML pipeline.
Author: Yuhao Yang <hhbyyh@gmail.com>
Author: yuhaoyang <yuhao@zhanglipings-iMac.local>
Closes#8551 from hhbyyh/ldaExUpdate.
This reverts PR #10002, commit 78209b0cca.
The original PR wasn't tested on Jenkins before being merged.
Author: Cheng Lian <lian@databricks.com>
Closes#10200 from liancheng/revert-pr-10002.
Add ```SQLTransformer``` user guide, example code and make Scala API doc more clear.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#10006 from yanboliang/spark-11958.
Made new patch contaning only markdown examples moved to exmaple/folder.
Ony three java code were not shfted since they were contaning compliation error ,these classes are
1)StandardScale 2)NormalizerExample 3)VectorIndexer
Author: Xusen Yin <yinxusen@gmail.com>
Author: somideshmukh <somilde@us.ibm.com>
Closes#10002 from somideshmukh/SomilBranch1.33.
`ByteBuffer` doesn't guarantee all contents in `ByteBuffer.array` are valid. E.g, a ByteBuffer returned by `ByteBuffer.slice`. We should not use the whole content of `ByteBuffer` unless we know that's correct.
This patch fixed all places that use `ByteBuffer.array` incorrectly.
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#10083 from zsxwing/bytebuffer-array.
We should upgrade to SBT 0.13.9, since this is a requirement in order to use SBT's new Maven-style resolution features (which will be done in a separate patch, because it's blocked by some binary compatibility issues in the POM reader plugin).
I also upgraded Scalastyle to version 0.8.0, which was necessary in order to fix a Scala 2.10.5 compatibility issue (see https://github.com/scalastyle/scalastyle/issues/156). The newer Scalastyle is slightly stricter about whitespace surrounding tokens, so I fixed the new style violations.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#10112 from JoshRosen/upgrade-to-sbt-0.13.9.
This replaces https://github.com/apache/spark/pull/9696
Invoke Checkstyle and print any errors to the console, failing the step.
Use Google's style rules modified according to
https://cwiki.apache.org/confluence/display/SPARK/Spark+Code+Style+Guide
Some important checks are disabled (see TODOs in `checkstyle.xml`) due to
multiple violations being present in the codebase.
Suggest fixing those TODOs in a separate PR(s).
More on Checkstyle can be found on the [official website](http://checkstyle.sourceforge.net/).
Sample output (from [build 46345](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/46345/consoleFull)) (duplicated because I run the build twice with different profiles):
> Checkstyle checks failed at following occurrences:
[ERROR] src/main/java/org/apache/spark/sql/execution/datasources/parquet/UnsafeRowParquetRecordReader.java:[217,7] (coding) MissingSwitchDefault: switch without "default" clause.
> [ERROR] src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java:[198,10] (modifier) ModifierOrder: 'protected' modifier out of order with the JLS suggestions.
> [ERROR] src/main/java/org/apache/spark/sql/execution/datasources/parquet/UnsafeRowParquetRecordReader.java:[217,7] (coding) MissingSwitchDefault: switch without "default" clause.
> [ERROR] src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java:[198,10] (modifier) ModifierOrder: 'protected' modifier out of order with the JLS suggestions.
> [error] running /home/jenkins/workspace/SparkPullRequestBuilder2/dev/lint-java ; received return code 1
Also fix some of the minor violations that didn't require sweeping changes.
Apologies for the previous botched PRs - I finally figured out the issue.
cr: JoshRosen, pwendell
> I state that the contribution is my original work, and I license the work to the project under the project's open source license.
Author: Dmitry Erastov <derastov@gmail.com>
Closes#9867 from dskrvk/master.
Remove duplicate mllib example (DT/RF/GBT in Java/Python).
Since we have tutorial code for DT/RF/GBT classification/regression in Scala/Java/Python and example applications for DT/RF/GBT in Scala, so we mark these as duplicated and remove them.
mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9954 from yanboliang/SPARK-11975.
jira: https://issues.apache.org/jira/browse/SPARK-11689
Add simple user guide for LDA under spark.ml and example code under examples/. Use include_example to include example code in the user guide markdown. Check SPARK-11606 for instructions.
Original PR is reverted due to document build error. https://github.com/apache/spark/pull/9722
mengxr feynmanliang yinxusen Sorry for the troubling.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#9974 from hhbyyh/ldaMLExample.
ML ```LinearRegression``` use ```data/mllib/sample_libsvm_data.txt``` as dataset in examples and user guide doc, but it's actually classification dataset rather than regression dataset. We should use ```data/mllib/sample_linear_regression_data.txt``` instead.
The deeper causes is that ```LinearRegression``` with "normal" solver can not solve this dataset correctly, may be due to the ill condition and unreasonable label. This issue has been reported at [SPARK-11918](https://issues.apache.org/jira/browse/SPARK-11918).
It will confuse users if they run the example code but get exception, so we should make this change which can clearly illustrate the usage of ```LinearRegression``` algorithm.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9905 from yanboliang/spark-11920.
We used the name `Dataset` to refer to `SchemaRDD` in 1.2 in ML pipelines and created this example file. Since `Dataset` has a new meaning in Spark 1.6, we should rename it to avoid confusion. This PR also removes support for dense format to simplify the example code.
cc: yinxusen
Author: Xiangrui Meng <meng@databricks.com>
Closes#9873 from mengxr/SPARK-11895.
jira: https://issues.apache.org/jira/browse/SPARK-11689
Add simple user guide for LDA under spark.ml and example code under examples/. Use include_example to include example code in the user guide markdown. Check SPARK-11606 for instructions.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#9722 from hhbyyh/ldaMLExample.
jira: https://issues.apache.org/jira/browse/SPARK-11816
Currently I only fixed some obvious comments issue like
// scalastyle:off println
on the bottom.
Yet the style in examples is not quite consistent, like only half of the examples are with
// Example usage: ./bin/run-example mllib.FPGrowthExample \,
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#9808 from hhbyyh/exampleStyle.
The HP Fortify Opens Source Review team (https://www.hpfod.com/open-source-review-project) reported a handful of potential resource leaks that were discovered using their static analysis tool. We should fix the issues identified by their scan.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#9455 from JoshRosen/fix-potential-resource-leaks.
JIRA issue https://issues.apache.org/jira/browse/SPARK-11728.
The ml-ensembles.md file contains `OneVsRestExample`. Instead of writing new code files of two `OneVsRestExample`s, I use two existing files in the examples directory, they are `OneVsRestExample.scala` and `JavaOneVsRestExample.scala`.
Author: Xusen Yin <yinxusen@gmail.com>
Closes#9716 from yinxusen/SPARK-11728.
Use 2 seconds batch size as duration specified in JavaStreamingContext constructor is 2000 ms
Author: Rohan Bhanderi <rohan.bhanderi@sjsu.edu>
Closes#9714 from RohanBhanderi/patch-2.
Use LibSVM data source rather than MLUtils.loadLibSVMFile to load DataFrame, include:
* Use libSVM data source for all example codes under examples/ml, and remove unused import.
* Use libSVM data source for user guides under ml-*** which were omitted by #8697.
* Fix bug: We should use ```sqlContext.read().format("libsvm").load(path)``` at Java side, but the API doc and user guides misuse as ```sqlContext.read.format("libsvm").load(path)```.
* Code cleanup.
mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9690 from yanboliang/spark-11723.
I have made the required changes and tested.
Kindly review the changes.
Author: Rishabh Bhardwaj <rbnext29@gmail.com>
Closes#9407 from rishabhbhardwaj/SPARK-11445.
Add Python example code for Multilayer Perceptron Classification, and make example code in user guide document testable. mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#9594 from yanboliang/spark-11629.
TODO
- [x] Add Java API
- [x] Add API tests
- [x] Add a function test
Author: Shixiong Zhu <shixiong@databricks.com>
Closes#9636 from zsxwing/java-track.
Current updateStateByKey provides stateful processing in Spark Streaming. It allows the user to maintain per-key state and manage that state using an updateFunction. The updateFunction is called for each key, and it uses new data and existing state of the key, to generate an updated state. However, based on community feedback, we have learnt the following lessons.
* Need for more optimized state management that does not scan every key
* Need to make it easier to implement common use cases - (a) timeout of idle data, (b) returning items other than state
The high level idea that of this PR
* Introduce a new API trackStateByKey that, allows the user to update per-key state, and emit arbitrary records. The new API is necessary as this will have significantly different semantics than the existing updateStateByKey API. This API will have direct support for timeouts.
* Internally, the system will keep the state data as a map/list within the partitions of the state RDDs. The new data RDDs will be partitioned appropriately, and for all the key-value data, it will lookup the map/list in the state RDD partition and create a new list/map of updated state data. The new state RDD partition will be created based on the update data and if necessary, with old data.
Here is the detailed design doc. Please take a look and provide feedback as comments.
https://docs.google.com/document/d/1NoALLyd83zGs1hNGMm0Pc5YOVgiPpMHugGMk6COqxxE/edit#heading=h.ph3w0clkd4em
This is still WIP. Major things left to be done.
- [x] Implement basic functionality of state tracking, with initial RDD and timeouts
- [x] Unit tests for state tracking
- [x] Unit tests for initial RDD and timeout
- [ ] Unit tests for TrackStateRDD
- [x] state creating, updating, removing
- [ ] emitting
- [ ] checkpointing
- [x] Misc unit tests for State, TrackStateSpec, etc.
- [x] Update docs and experimental tags
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#9256 from tdas/trackStateByKey.
I have tested it on my local, it is working fine, please review
Author: sachin aggarwal <different.sachin@gmail.com>
Closes#9539 from agsachin/SPARK-11552-real.
I have made the required changes in mllib-naive-bayes.md/mllib-isotonic-regression.md and also verified them.
Kindle Review it.
Author: Rishabh Bhardwaj <rbnext29@gmail.com>
Closes#9353 from rishabhbhardwaj/SPARK-11383.
mengxr https://issues.apache.org/jira/browse/SPARK-11289
I make some changes in ML feature extractors. I.e. TF-IDF, Word2Vec, and CountVectorizer. I add new example code in spark/examples, hope it is the right place to add those examples.
Author: Xusen Yin <yinxusen@gmail.com>
Closes#9266 from yinxusen/SPARK-11289.
All prediction models should store `numFeatures` indicating the number of features the model was trained on. Default value of -1 added for backwards compatibility.
Author: sethah <seth.hendrickson16@gmail.com>
Closes#8675 from sethah/SPARK-9715.
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.
`fitIntercept` is a command line option but not set in the main program.
dbtsai
Author: Shuo Xiang <sxiang@pinterest.com>
Closes#8510 from coderxiang/intercept and squashes the following commits:
57c9b7d [Shuo Xiang] fix not being able to set intercept in LR example
Replace `JavaConversions` implicits with `JavaConverters`
Most occurrences I've seen so far are necessary conversions; a few have been avoidable. None are in critical code as far as I see, yet.
Author: Sean Owen <sowen@cloudera.com>
Closes#8033 from srowen/SPARK-9613.
This PR includes the following fixes:
1. Use `range` instead of `xrange` in `queue_stream.py` to support Python 3.
2. Fix the issue that `utf8_decoder` will return `bytes` rather than `str` when receiving an empty `bytes` in Python 3.
3. Fix the commands in docs so that the user can copy them directly to the command line. The previous commands was broken in the middle of a path, so when copying to the command line, the path would be split to two parts by the extra spaces, which forces the user to fix it manually.
Author: zsxwing <zsxwing@gmail.com>
Closes#8315 from zsxwing/SPARK-9812.
Tiny modification to a few comments ```sbt publishLocal``` work again.
Author: Herman van Hovell <hvanhovell@questtec.nl>
Closes#8209 from hvanhovell/SPARK-9980.
Copied ML models must have the same parent of original ones
Author: lewuathe <lewuathe@me.com>
Author: Lewuathe <lewuathe@me.com>
Closes#7447 from Lewuathe/SPARK-9073.
This PR is based on #4229, thanks prabeesh.
Closes#4229
Author: Prabeesh K <prabsmails@gmail.com>
Author: zsxwing <zsxwing@gmail.com>
Author: prabs <prabsmails@gmail.com>
Author: Prabeesh K <prabeesh.k@namshi.com>
Closes#7833 from zsxwing/pr4229 and squashes the following commits:
9570bec [zsxwing] Fix the variable name and check null in finally
4a9c79e [zsxwing] Fix pom.xml indentation
abf5f18 [zsxwing] Merge branch 'master' into pr4229
935615c [zsxwing] Fix the flaky MQTT tests
47278c5 [zsxwing] Include the project class files
478f844 [zsxwing] Add unpack
5f8a1d4 [zsxwing] Make the maven build generate the test jar for Python MQTT tests
734db99 [zsxwing] Merge branch 'master' into pr4229
126608a [Prabeesh K] address the comments
b90b709 [Prabeesh K] Merge pull request #1 from zsxwing/pr4229
d07f454 [zsxwing] Register StreamingListerner before starting StreamingContext; Revert unncessary changes; fix the python unit test
a6747cb [Prabeesh K] wait for starting the receiver before publishing data
87fc677 [Prabeesh K] address the comments:
97244ec [zsxwing] Make sbt build the assembly test jar for streaming mqtt
80474d1 [Prabeesh K] fix
1f0cfe9 [Prabeesh K] python style fix
e1ee016 [Prabeesh K] scala style fix
a5a8f9f [Prabeesh K] added Python test
9767d82 [Prabeesh K] implemented Python-friendly class
a11968b [Prabeesh K] fixed python style
795ec27 [Prabeesh K] address comments
ee387ae [Prabeesh K] Fix assembly jar location of mqtt-assembly
3f4df12 [Prabeesh K] updated version
b34c3c1 [prabs] adress comments
3aa7fff [prabs] Added Python streaming mqtt word count example
b7d42ff [prabs] Mqtt streaming support in Python
This PR replaces the old "threshold" with a generalized "thresholds" Param. We keep getThreshold,setThreshold for backwards compatibility for binary classification.
Note that the primary author of this PR is holdenk
Author: Holden Karau <holden@pigscanfly.ca>
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#7909 from jkbradley/holdenk-SPARK-8069-add-cutoff-aka-threshold-to-random-forest and squashes the following commits:
3952977 [Joseph K. Bradley] fixed pyspark doc test
85febc8 [Joseph K. Bradley] made python unit tests a little more robust
7eb1d86 [Joseph K. Bradley] small cleanups
6cc2ed8 [Joseph K. Bradley] Fixed remaining merge issues.
0255e44 [Joseph K. Bradley] Many cleanups for thresholds, some more tests
7565a60 [Holden Karau] fix pep8 style checks, add a getThreshold method similar to our LogisticRegression.scala one for API compat
be87f26 [Holden Karau] Convert threshold to thresholds in the python code, add specialized support for Array[Double] to shared parems codegen, etc.
6747dad [Holden Karau] Override raw2prediction for ProbabilisticClassifier, fix some tests
25df168 [Holden Karau] Fix handling of thresholds in LogisticRegression
c02d6c0 [Holden Karau] No default for thresholds
5e43628 [Holden Karau] CR feedback and fixed the renamed test
f3fbbd1 [Holden Karau] revert the changes to random forest :(
51f581c [Holden Karau] Add explicit types to public methods, fix long line
f7032eb [Holden Karau] Fix a java test bug, remove some unecessary changes
adf15b4 [Holden Karau] rename the classifier suite test to ProbabilisticClassifierSuite now that we only have it in Probabilistic
398078a [Holden Karau] move the thresholding around a bunch based on the design doc
4893bdc [Holden Karau] Use numtrees of 3 since previous result was tied (one tree for each) and the switch from different max methods picked a different element (since they were equal I think this is ok)
638854c [Holden Karau] Add a scala RandomForestClassifierSuite test based on corresponding python test
e09919c [Holden Karau] Fix return type, I need more coffee....
8d92cac [Holden Karau] Use ClassifierParams as the head
3456ed3 [Holden Karau] Add explicit return types even though just test
a0f3b0c [Holden Karau] scala style fixes
6f14314 [Holden Karau] Since hasthreshold/hasthresholds is in root classifier now
ffc8dab [Holden Karau] Update the sharedParams
0420290 [Holden Karau] Allow us to override the get methods selectively
978e77a [Holden Karau] Move HasThreshold into classifier params and start defining the overloaded getThreshold/getThresholds functions
1433e52 [Holden Karau] Revert "try and hide threshold but chainges the API so no dice there"
1f09a2e [Holden Karau] try and hide threshold but chainges the API so no dice there
efb9084 [Holden Karau] move setThresholds only to where its used
6b34809 [Holden Karau] Add a test with thresholding for the RFCS
74f54c3 [Holden Karau] Fix creation of vote array
1986fa8 [Holden Karau] Setting the thresholds only makes sense if the underlying class hasn't overridden predict, so lets push it down.
2f44b18 [Holden Karau] Add a global default of null for thresholds param
f338cfc [Holden Karau] Wait that wasn't a good idea, Revert "Some progress towards unifying threshold and thresholds"
634b06f [Holden Karau] Some progress towards unifying threshold and thresholds
85c9e01 [Holden Karau] Test passes again... little fnur
099c0f3 [Holden Karau] Move thresholds around some more (set on model not trainer)
0f46836 [Holden Karau] Start adding a classifiersuite
f70eb5e [Holden Karau] Fix test compile issues
a7d59c8 [Holden Karau] Move thresholding into Classifier trait
5d999d2 [Holden Karau] Some more progress, start adding a test (maybe try and see if we can find a better thing to use for the base of the test)
1fed644 [Holden Karau] Use thresholds to scale scores in random forest classifcation
31d6bf2 [Holden Karau] Start threading the threshold info through
0ef228c [Holden Karau] Add hasthresholds
Enable most javac lint warnings; fix a lot of build warnings. In a few cases, touch up surrounding code in the process.
I'll explain several of the changes inline in comments.
Author: Sean Owen <sowen@cloudera.com>
Closes#7862 from srowen/SPARK-9534 and squashes the following commits:
ea51618 [Sean Owen] Enable most javac lint warnings; fix a lot of build warnings. In a few cases, touch up surrounding code in the process.
[SPARK-9149] Add an example of spark.ml KMeans - ASF JIRA https://issues.apache.org/jira/browse/SPARK-9149
jkbradley Should we support other data formats, such as TSV or CSV. I have implemented these examples which support only space separated file which is same as the example for `spark.mllib`'s `KMeans`.
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#7697 from yu-iskw/SPARK-9149 and squashes the following commits:
7137bad [Yu ISHIKAWA] Fix the typo
56b9da2 [Yu ISHIKAWA] Fix the place of the wrong import statment
554e574 [Yu ISHIKAWA] Change the way to format input data in KMeansExample
e7a948a [Yu ISHIKAWA] Import spark.ml.clustering.KMeans
1901e0c [Yu ISHIKAWA] Change how to initialize an array for a DataFrame schema
d8043f5 [Yu ISHIKAWA] Return a value directly
d81bf55 [Yu ISHIKAWA] Fix a typo and its access specifiers
3e0862d [Yu ISHIKAWA] Make KMeansExample more simple
51ce9c1 [Yu ISHIKAWA] Make JavaKMeansExample more simple
a5a01e0 [Yu ISHIKAWA] Fix a Javadoc about the command to execute the example
b09ec13 [Yu ISHIKAWA] [SPARK-9149][ML][Examples] Add an example of spark.ml KMeans
Author: Jonathan Alter <jonalter@users.noreply.github.com>
Closes#7093 from jonalter/SPARK-7977 and squashes the following commits:
ccd44cc [Jonathan Alter] Changed println to log in ThreadingSuite
7fcac3e [Jonathan Alter] Reverting to println in ThreadingSuite
10724b6 [Jonathan Alter] Changing some printlns to logs in tests
eeec1e7 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977
0b1dcb4 [Jonathan Alter] More println cleanup
aedaf80 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977
925fd98 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977
0c16fa3 [Jonathan Alter] Replacing some printlns with logs
45c7e05 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977
5c8e283 [Jonathan Alter] Allowing println in audit-release examples
5b50da1 [Jonathan Alter] Allowing printlns in example files
ca4b477 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977
83ab635 [Jonathan Alter] Fixing new printlns
54b131f [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977
1cd8a81 [Jonathan Alter] Removing some unnecessary comments and printlns
b837c3a [Jonathan Alter] Disallowing println
Here are more examples on SparkR DataFrames including creating a Spark Contect and a SQL
context, loading data and simple data manipulation.
Author: Daniel Emaasit (PhD Student) <daniel.emaasit@gmail.com>
Closes#6668 from Emaasit/dan-dev and squashes the following commits:
3a97867 [Daniel Emaasit (PhD Student)] Used fewer rows for createDataFrame
f7227f9 [Daniel Emaasit (PhD Student)] Using command line arguments
a550f70 [Daniel Emaasit (PhD Student)] Used base R functions
33f9882 [Daniel Emaasit (PhD Student)] Renamed file
b6603e3 [Daniel Emaasit (PhD Student)] changed "Describe" function to "describe"
90565dd [Daniel Emaasit (PhD Student)] Deleted the getting-started file
b95a103 [Daniel Emaasit (PhD Student)] Deleted this file
cc55cd8 [Daniel Emaasit (PhD Student)] combined all the code into one .R file
c6933af [Daniel Emaasit (PhD Student)] changed variable name to SQLContext
8e0fe14 [Daniel Emaasit (PhD Student)] provided two options for creating DataFrames
2653573 [Daniel Emaasit (PhD Student)] Updates to a comment and variable name
275b787 [Daniel Emaasit (PhD Student)] Added the Apache License at the top of the file
2e8f724 [Daniel Emaasit (PhD Student)] Added the Apache License at the top of the file
486f44e [Daniel Emaasit (PhD Student)] Added the Apache License at the file
d705112 [Daniel Emaasit (PhD Student)] Created more examples on SparkR DataFrames
Author: zsxwing <zsxwing@gmail.com>
Closes#6830 from zsxwing/flume-python and squashes the following commits:
78dfdac [zsxwing] Fix the compile error in the test code
f1bf3c0 [zsxwing] Address TD's comments
0449723 [zsxwing] Add sbt goal streaming-flume-assembly/assembly
e93736b [zsxwing] Fix the test case for determine_modules_to_test
9d5821e [zsxwing] Fix pyspark_core dependencies
f9ee681 [zsxwing] Merge branch 'master' into flume-python
7a55837 [zsxwing] Add streaming_flume_assembly to run-tests.py
b96b0de [zsxwing] Merge branch 'master' into flume-python
ce85e83 [zsxwing] Fix incompatible issues for Python 3
01cbb3d [zsxwing] Add import sys
152364c [zsxwing] Fix the issue that StringIO doesn't work in Python 3
14ba0ff [zsxwing] Add flume-assembly for sbt building
b8d5551 [zsxwing] Merge branch 'master' into flume-python
4762c34 [zsxwing] Fix the doc
0336579 [zsxwing] Refactor Flume unit tests and also add tests for Python API
9f33873 [zsxwing] Add the Python API for Flume
This scala style problem causes tested failed.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#6907 from viirya/hotfix_style and squashes the following commits:
c53f188 [Liang-Chi Hsieh] Fix scala style.
...e user, reads the file back from the DFS, and compares word counts on the local and DFS versions. Useful for verifying DFS correctness.
Author: RJ Nowling <rnowling@gmail.com>
Closes#3347 from rnowling/dfs_read_write_test and squashes the following commits:
af8ccb7 [RJ Nowling] Don't use java.io.File since DFS may not be POSIX-compatible
b0ef9ea [RJ Nowling] Fix string style
07c6132 [RJ Nowling] Fix string style
7d9a8df [RJ Nowling] Fix string style
f74c160 [RJ Nowling] Fix else statement style
b9edf12 [RJ Nowling] Fix spark wc style
44415b9 [RJ Nowling] Fix local wc style
94a4691 [RJ Nowling] Fix space
df59b65 [RJ Nowling] Fix if statements
1b314f0 [RJ Nowling] Add scaladoc
a931d70 [RJ Nowling] Fix import order
0c89558 [RJ Nowling] Add example that reads a local file, writes to a DFS path provided by the user, reads the file back from the DFS, and compares word counts on the local and DFS versions. Useful for verifying DFS correctness.
