| Commit message (Collapse) | Author | Age | Files | Lines |
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S3 function is at https://stat.ethz.ch/R-manual/R-patched/library/stats/html/na.fail.html
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Author: Shivaram Venkataraman <shivaram.venkataraman@gmail.com>
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes #8495 from shivaram/na-omit-fix.
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* Added isLargerBetter() method to Pyspark Evaluator to match the Scala version.
* JavaEvaluator delegates isLargerBetter() to underlying Scala object.
* Added check for isLargerBetter() in CrossValidator to determine whether to use argmin or argmax.
* Added test cases for where smaller is better (RMSE) and larger is better (R-Squared).
(This contribution is my original work and that I license the work to the project under Sparks' open source license)
Author: noelsmith <mail@noelsmith.com>
Closes #8399 from noel-smith/pyspark-rmse-xval-fix.
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Author: Cheng Lian <lian@databricks.com>
Closes #8481 from liancheng/hive-context-typo.
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* Adds user guide for `LinearRegressionSummary`
* Fixes unresolved issues in #8197
CC jkbradley mengxr
Author: Feynman Liang <fliang@databricks.com>
Closes #8491 from feynmanliang/SPARK-9905.
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I added a small note about the different types of evaluator and the metrics used.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes #8304 from MechCoder/multiclass_evaluator.
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JoshRosen we'd like to check the SparkR source code with the `dev/lint-r` script on the Jenkins. I tried to incorporate the script into `dev/run-test.py`. Could you review it when you have time?
shivaram I modified `dev/lint-r` and `dev/lint-r.R` to install lintr package into a local directory(`R/lib/`) and to exit with a lint status. Could you review it?
- [[SPARK-8505] Add settings to kick `lint-r` from `./dev/run-test.py` - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-8505)
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes #7883 from yu-iskw/SPARK-8505.
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Having sizeInBytes in HadoopFsRelation to enable broadcast join.
cc marmbrus
Author: Davies Liu <davies@databricks.com>
Closes #8490 from davies/sizeInByte.
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https://issues.apache.org/jira/browse/SPARK-10287
After porting json to HadoopFsRelation, it seems hard to keep the behavior of picking up new files automatically for JSON. This PR removes this behavior, so JSON is consistent with others (ORC and Parquet).
Author: Yin Huai <yhuai@databricks.com>
Closes #8469 from yhuai/jsonRefresh.
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compatibility test
* Adds user guide for ml.feature.StopWordsRemovers, ran code examples on my machine
* Cleans up scaladocs for public methods
* Adds test for Java compatibility
* Follow up Python user guide code example is tracked by SPARK-10249
Author: Feynman Liang <fliang@databricks.com>
Closes #8436 from feynmanliang/SPARK-10230.
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User guide for LogisticRegression summaries
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Author: Manoj Kumar <mks542@nyu.edu>
Author: Feynman Liang <fliang@databricks.com>
Closes #8197 from MechCoder/log_summary_user_guide.
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jira: https://issues.apache.org/jira/browse/SPARK-9901
The jira covers only the document update. I can further provide example code for QR (like the ones for SVD and PCA) in a separate PR.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #8462 from hhbyyh/qrDoc.
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https://issues.apache.org/jira/browse/SPARK-10315
this parameter is not used any longer and there is some mistake in the current document , should be 'akka.remote.watch-failure-detector.threshold'
Author: CodingCat <zhunansjtu@gmail.com>
Closes #8483 from CodingCat/SPARK_10315.
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Author: Michael Armbrust <michael@databricks.com>
Closes #8441 from marmbrus/documentation.
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`GeneralizedLinearModel` creates a cached RDD when building a model. It's inconvenient, since these RDDs flood the memory when building several models in a row, so useful data might get evicted from the cache.
The proposed solution is to always cache the dataset & remove the warning. There's a caveat though: input dataset gets evaluated twice, in line 270 when fitting `StandardScaler` for the first time, and when running optimizer for the second time. So, it might worth to return removed warning.
Another possible solution is to disable caching entirely & return removed warning. I don't really know what approach is better.
Author: Vyacheslav Baranov <slavik.baranov@gmail.com>
Closes #8395 from SlavikBaranov/SPARK-10182.
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* Replaces instances of `Lists.newArrayList` with `Arrays.asList`
* Replaces `commons.lang.StringUtils` over `com.google.collections.Strings`
* Replaces `List` interface over `ArrayList` implementations
This PR along with #8445 #8446 #8447 completely removes all `com.google.collections.Lists` dependencies within mllib's Java tests.
Author: Feynman Liang <fliang@databricks.com>
Closes #8451 from feynmanliang/SPARK-10257.
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Fix for [JavaConverters.asJavaListConverter](http://www.scala-lang.org/api/2.10.5/index.html#scala.collection.JavaConverters$) being removed in 2.11.7 and hence the build fails with the 2.11 profile enabled. Tested with the default 2.10 and 2.11 profiles. BUILD SUCCESS in both cases.
Build for 2.10:
./build/mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.1 -DskipTests clean install
and 2.11:
./dev/change-scala-version.sh 2.11
./build/mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.1 -Dscala-2.11 -DskipTests clean install
Author: Jacek Laskowski <jacek@japila.pl>
Closes #8479 from jaceklaskowski/SPARK-9613-hotfix.
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JavaTests
Author: Feynman Liang <fliang@databricks.com>
Closes #8447 from feynmanliang/SPARK-10256.
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Author: Feynman Liang <fliang@databricks.com>
Closes #8446 from feynmanliang/SPARK-10255.
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* Replaces `com.google.common` dependencies with `java.util.Arrays`
* Small clean up in `JavaNormalizerSuite`
Author: Feynman Liang <fliang@databricks.com>
Closes #8445 from feynmanliang/SPARK-10254.
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Fix Typo in exactly once semantics
[Semantics of output operations] link
Author: Moussa Taifi <moutai10@gmail.com>
Closes #8468 from moutai/patch-3.
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…ion by default
Author: Ram Sriharsha <rsriharsha@hw11853.local>
Closes #8465 from harsha2010/SPARK-10251.
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cc sun-rui davies
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes #8475 from shivaram/varargs-fix.
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for JSON
PySpark DataFrameReader should could accept an RDD of Strings (like the Scala version does) for JSON, rather than only taking a path.
If this PR is merged, it should be duplicated to cover the other input types (not just JSON).
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #8444 from yanboliang/spark-9964.
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Author: Cheng Lian <lian@databricks.com>
Closes #8467 from liancheng/spark-9424/parquet-docs-for-1.5.
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Getting rid of some validation problems in SparkR
https://github.com/apache/spark/pull/7883
cc shivaram
```
inst/tests/test_Serde.R:26:1: style: Trailing whitespace is superfluous.
^~
inst/tests/test_Serde.R:34:1: style: Trailing whitespace is superfluous.
^~
inst/tests/test_Serde.R:37:38: style: Trailing whitespace is superfluous.
expect_equal(class(x), "character")
^~
inst/tests/test_Serde.R:50:1: style: Trailing whitespace is superfluous.
^~
inst/tests/test_Serde.R:55:1: style: Trailing whitespace is superfluous.
^~
inst/tests/test_Serde.R:60:1: style: Trailing whitespace is superfluous.
^~
inst/tests/test_sparkSQL.R:611:1: style: Trailing whitespace is superfluous.
^~
R/DataFrame.R:664:1: style: Trailing whitespace is superfluous.
^~~~~~~~~~~~~~
R/DataFrame.R:670:55: style: Trailing whitespace is superfluous.
df <- data.frame(row.names = 1 : nrow)
^~~~~~~~~~~~~~~~
R/DataFrame.R:672:1: style: Trailing whitespace is superfluous.
^~~~~~~~~~~~~~
R/DataFrame.R:686:49: style: Trailing whitespace is superfluous.
df[[names[colIndex]]] <- vec
^~~~~~~~~~~~~~~~~~
```
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes #8474 from yu-iskw/minor-fix-sparkr.
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I also checked all the other functions defined in column.R, functions.R and DataFrame.R and everything else looked fine.
cc yu-iskw
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes #8473 from shivaram/in-namespace.
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cc jkbradley
Author: Davies Liu <davies@databricks.com>
Closes #8470 from davies/fix_create_df.
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Same as #8421 but for `mllib.recommendation`.
cc srowen coderxiang
Author: Xiangrui Meng <meng@databricks.com>
Closes #8432 from mengxr/SPARK-10241.
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I only found `ml.NaiveBayes` missing `Experimental` annotation. This PR doesn't cover Python APIs.
cc jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #8452 from mengxr/SPARK-9665.
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filter / select)
Add support for
```
df[df$name == "Smith", c(1,2)]
df[df$age %in% c(19, 30), 1:2]
```
shivaram
Author: felixcheung <felixcheung_m@hotmail.com>
Closes #8394 from felixcheung/rsubset.
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Same as #8421 but for `mllib.feature`.
cc dbtsai
Author: Xiangrui Meng <meng@databricks.com>
Closes #8449 from mengxr/SPARK-10236.feature and squashes the following commits:
0e8d658 [Xiangrui Meng] remove unnecessary comment
ad70b03 [Xiangrui Meng] update since versions in mllib.feature
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Same as #8421 but for `mllib.regression`.
cc freeman-lab dbtsai
Author: Xiangrui Meng <meng@databricks.com>
Closes #8426 from mengxr/SPARK-10235 and squashes the following commits:
6cd28e4 [Xiangrui Meng] update since versions in mllib.regression
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Same as #8421 but for `mllib.tree`.
cc jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes #8442 from mengxr/SPARK-10236.
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Same as #8421 but for `mllib.clustering`.
cc feynmanliang yu-iskw
Author: Xiangrui Meng <meng@databricks.com>
Closes #8435 from mengxr/SPARK-10234.
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and mllib.stat
The same as #8241 but for `mllib.stat` and `mllib.random`.
cc feynmanliang
Author: Xiangrui Meng <meng@databricks.com>
Closes #8439 from mengxr/SPARK-10242.
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Same as #8421 but for `mllib.linalg`.
cc dbtsai
Author: Xiangrui Meng <meng@databricks.com>
Closes #8440 from mengxr/SPARK-10238 and squashes the following commits:
b38437e [Xiangrui Meng] update since versions in mllib.linalg
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Same as #8421 but for `mllib.evaluation`.
cc avulanov
Author: Xiangrui Meng <meng@databricks.com>
Closes #8423 from mengxr/SPARK-10233.
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* Adds two new sections to LDA's user guide; one for each optimizer/model
* Documents new features added to LDA (e.g. topXXXperXXX, asymmetric priors, hyperpam optimization)
* Cleans up a TODO and sets a default parameter in LDA code
jkbradley hhbyyh
Author: Feynman Liang <fliang@databricks.com>
Closes #8254 from feynmanliang/SPARK-9888.
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Follow the rule in Hive for decimal division. see https://github.com/apache/hive/blob/ac755ebe26361a4647d53db2a28500f71697b276/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFOPDivide.java#L113
cc chenghao-intel
Author: Davies Liu <davies@databricks.com>
Closes #8415 from davies/decimal_div2.
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In BigDecimal or java.math.BigDecimal, the precision could be smaller than scale, for example, BigDecimal("0.001") has precision = 1 and scale = 3. But DecimalType require that the precision should be larger than scale, so we should use the maximum of precision and scale when inferring the schema from decimal literal.
Author: Davies Liu <davies@databricks.com>
Closes #8428 from davies/smaller_decimal.
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mllib.util
Same as #8421 but for `mllib.pmml` and `mllib.util`.
cc dbtsai
Author: Xiangrui Meng <meng@databricks.com>
Closes #8430 from mengxr/SPARK-10239 and squashes the following commits:
a189acf [Xiangrui Meng] update since versions in mllib.pmml and mllib.util
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StreamingLinearRegressionWithSGD.setConvergenceTol default value
Adds default convergence tolerance (0.001, set in `GradientDescent.convergenceTol`) to `setConvergenceTol`'s scaladoc
Author: Feynman Liang <fliang@databricks.com>
Closes #8424 from feynmanliang/SPARK-9797.
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Same as #8421 but for `mllib.fpm`.
cc feynmanliang
Author: Xiangrui Meng <meng@databricks.com>
Closes #8429 from mengxr/SPARK-10237.
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* Adds doc for alias of runMIniBatchSGD documenting default value for convergeTol
* Cleans up a note in code
Author: Feynman Liang <fliang@databricks.com>
Closes #8425 from feynmanliang/SPARK-9800.
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This PR:
1. supports transferring arbitrary nested array from JVM to R side in SerDe;
2. based on 1, collect() implemenation is improved. Now it can support collecting data of complex types
from a DataFrame.
Author: Sun Rui <rui.sun@intel.com>
Closes #8276 from sun-rui/SPARK-10048.
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Update `Since` annotation in `mllib.classification`:
1. add version to classes, objects, constructors, and public variables declared in constructors
2. correct some versions
3. remove `Since` on `toString`
MechCoder dbtsai
Author: Xiangrui Meng <meng@databricks.com>
Closes #8421 from mengxr/SPARK-10231 and squashes the following commits:
b2dce80 [Xiangrui Meng] update @Since annotation for mllib.classification
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See [discussion](https://github.com/apache/spark/pull/8254#discussion_r37837770)
CC jkbradley
Author: Feynman Liang <fliang@databricks.com>
Closes #8422 from feynmanliang/SPARK-10230.
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jira: https://issues.apache.org/jira/browse/SPARK-8531
Update ML user guide for MinMaxScaler
Author: Yuhao Yang <hhbyyh@gmail.com>
Author: unknown <yuhaoyan@yuhaoyan-MOBL1.ccr.corp.intel.com>
Closes #7211 from hhbyyh/minmaxdoc.
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