This PR adds a section in the user guide for `VectorAssembler` with code examples in Python/Java/Scala. It also adds a unit test in Java.
jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6556 from mengxr/SPARK-7584 and squashes the following commits:
11313f6 [Xiangrui Meng] simplify Java example
0cd47f3 [Xiangrui Meng] update user guide
fd36292 [Xiangrui Meng] update Java unit test
ce61ca0 [Xiangrui Meng] add Java unit test for VectorAssembler
e399942 [Xiangrui Meng] scala/python example code
(cherry picked from commit 90c606925e)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Author: Reynold Xin <rxin@databricks.com>
Closes#6534 from rxin/whitespace-mllib and squashes the following commits:
38926e3 [Reynold Xin] [SPARK-3850] Trim trailing spaces for MLlib.
(cherry picked from commit e1067d0ad1)
Signed-off-by: Reynold Xin <rxin@databricks.com>
The MLlib ChiSqSelector class is not serializable, and so the example in the ChiSqSelector documentation fails. Also, that example is missing the import of ChiSqSelector.
This PR makes ChiSqSelector extend Serializable in MLlib, and adds the ChiSqSelector import statement to the associated example in the documentation.
Author: Mike Dusenberry <dusenberrymw@gmail.com>
Closes#6462 from dusenberrymw/Make_ChiSqSelector_Serializable_and_Fix_Related_Docs_Example and squashes the following commits:
9cb2f94 [Mike Dusenberry] Make MLlib ChiSqSelector Serializable.
d9003bf [Mike Dusenberry] Add missing import in MLlib ChiSqSelector Docs Scala example.
(cherry picked from commit 1281a35188)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#6497 from MechCoder/spark-7946 and squashes the following commits:
2fdd0a3 [MechCoder] Add non-regression test
8c988c6 [MechCoder] [SPARK-7946] DecayFactor wrongly set in StreamingKMeans
(cherry picked from commit 6181937f31)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
This PR contains two major changes to `OneHotEncoder`:
1. more robust handling of ML attributes. If the input attribute is unknown, we look at the values to get the max category index
2. change `includeFirst` to `dropLast` and leave the default to `true`. There are couple benefits:
a. consistent with other tutorials of one-hot encoding (or dummy coding) (e.g., http://www.ats.ucla.edu/stat/mult_pkg/faq/general/dummy.htm)
b. keep the indices unmodified in the output vector. If we drop the first, all indices will be shifted by 1.
c. If users use `StringIndex`, the last element is the least frequent one.
Sorry for including two changes in one PR! I'll update the user guide in another PR.
jkbradley sryza
Author: Xiangrui Meng <meng@databricks.com>
Closes#6466 from mengxr/SPARK-7912 and squashes the following commits:
a280dca [Xiangrui Meng] fix tests
d8f234d [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7912
171b276 [Xiangrui Meng] mention the difference between our impl vs sklearn's
00dfd96 [Xiangrui Meng] update OneHotEncoder in Python
208ddad [Xiangrui Meng] update OneHotEncoder to handle ML attributes and change includeFirst to dropLast
(cherry picked from commit 23452be944)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Expose user/item factors in DataFrames. This is to be more consistent with the pipeline API. It also helps maintain consistent APIs across languages. This PR also removed fitting params from `ALSModel`.
coderxiang
Author: Xiangrui Meng <meng@databricks.com>
Closes#6468 from mengxr/SPARK-7922 and squashes the following commits:
7bfb1d5 [Xiangrui Meng] update ALSModel in PySpark
1ba5607 [Xiangrui Meng] use DataFrames for user/item factors in ALS
(cherry picked from commit db95137897)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
CC jkbradley
Author: Xusen Yin <yinxusen@gmail.com>
Closes#6451 from yinxusen/SPARK-7577 and squashes the following commits:
e2dc32e [Xusen Yin] rename colums
e350e49 [Xusen Yin] add all demos
006ddf1 [Xusen Yin] add java test
3238481 [Xusen Yin] add bucketizer
(cherry picked from commit 1bd63e82fd)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
`VectorAssembler` should carry over ML attributes. For unknown attributes, we assume numeric values. This PR handles the following cases:
1. DoubleType with ML attribute: carry over
2. DoubleType without ML attribute: numeric value
3. Scalar type: numeric value
4. VectorType with all ML attributes: carry over and update names
5. VectorType with number of ML attributes: assume all numeric
6. VectorType without ML attributes: check the first row and get the number of attributes
jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6452 from mengxr/SPARK-7198 and squashes the following commits:
a9d2469 [Xiangrui Meng] add space
facdb1f [Xiangrui Meng] VectorAssembler should output ML attributes
(cherry picked from commit 7859ab659e)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
~~A PythonUDT shouldn't be serialized into external Scala types in PythonRDD. I'm not sure whether this should fix one of the bugs related to SQL UDT/UDF in PySpark.~~
The fix above didn't work. So I added a workaround for this. If a Python UDF is applied to a Python UDT. This will put the Python SQL types as inputs. Still incorrect, but at least it doesn't throw exceptions on the Scala side. davies harsha2010
Author: Xiangrui Meng <meng@databricks.com>
Closes#6442 from mengxr/SPARK-7903 and squashes the following commits:
c257d2a [Xiangrui Meng] add a workaround for VectorUDT
(cherry picked from commit 530efe3e80)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
With descent coverage of feature transformers, algorithms, and model tuning support, it is time to graduate `spark.ml` from alpha. This PR changes all `AlphaComponent` annotations to either `DeveloperApi` or `Experimental`, depending on whether we expect a class/method to be used by end users (who use the pipeline API to assemble/tune their ML pipelines but not to create new pipeline components.) `UnaryTransformer` becomes a `DeveloperApi` in this PR.
jkbradley harsha2010
Author: Xiangrui Meng <meng@databricks.com>
Closes#6417 from mengxr/SPARK-7748 and squashes the following commits:
effbccd [Xiangrui Meng] organize imports
c15028e [Xiangrui Meng] added missing docs
1b2e5f8 [Xiangrui Meng] update package doc
73ca791 [Xiangrui Meng] alpha -> ex/dev for the rest
93819db [Xiangrui Meng] alpha -> ex/dev in ml.param
55ca073 [Xiangrui Meng] alpha -> ex/dev in ml.feature
83572f1 [Xiangrui Meng] add Experimental and DeveloperApi tags (wip)
(cherry picked from commit 836a75898f)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
The densities in KernelDensity are scaled down by
(number of parallel processes X number of points). It should be just no.of samples. This results in broken tests in KernelDensitySuite which haven't been tested properly.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#6383 from MechCoder/spark-7844 and squashes the following commits:
ab81302 [MechCoder] Math->math
9b8ed50 [MechCoder] Make one pass to update count
a92fe50 [MechCoder] [SPARK-7844] Fix broken tests in KernelDensity
(cherry picked from commit 61664732b2)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Added user guide sections with code examples.
Also added small Java unit tests to test Java example in guide.
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#6127 from jkbradley/feature-guide-2 and squashes the following commits:
cd47f4b [Joseph K. Bradley] Updated based on code review
f16bcec [Joseph K. Bradley] Fixed merge issues and update Python examples print calls for Python 3
0a862f9 [Joseph K. Bradley] Added Normalizer, StandardScaler to ml-features doc, plus small Java unit tests
a21c2d6 [Joseph K. Bradley] Updated ml-features.md with IDF
(cherry picked from commit 2728c3df66)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
This PR updates `HashingTF` to output ML attributes that tell the number of features in the output column. We need to expand `UnaryTransformer` to support output metadata. A `df outputMetadata: Metadata` is not sufficient because the metadata may also depends on the input data. Though this is not true for `HashingTF`, I think it is reasonable to update `UnaryTransformer` in a separate PR. `checkParams` is added to verify common requirements for params. I will send a separate PR to use it in other test suites. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6308 from mengxr/SPARK-7219 and squashes the following commits:
9bd2922 [Xiangrui Meng] address comments
e82a68a [Xiangrui Meng] remove sqlContext from test suite
995535b [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7219
2194703 [Xiangrui Meng] add test for attributes
178ae23 [Xiangrui Meng] update HashingTF with tests
91a6106 [Xiangrui Meng] WIP
(cherry picked from commit 85b96372cf)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
The previous default is `{gaps: false, pattern: "\\p{L}+|[^\\p{L}\\s]+"}`. The default pattern is hard to understand. This PR changes the default to `{gaps: true, pattern: "\\s+"}`. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6330 from mengxr/SPARK-7794 and squashes the following commits:
5ee7cde [Xiangrui Meng] update RegexTokenizer default settings
(cherry picked from commit f5db4b416c)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
We removed `varargs` due to Java compilation issues. That was a false alarm because I didn't run `build/sbt clean`. So this PR reverts the changes. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6320 from mengxr/SPARK-7498 and squashes the following commits:
74a7259 [Xiangrui Meng] add varargs back to setDefault
(cherry picked from commit cdc7c055c9)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Added VectorIndexer section to ML user guide. Also added javaCategoryMaps() method and Java unit test for it.
CC: mengxr
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#6255 from jkbradley/vector-indexer-guide and squashes the following commits:
dbb8c4c [Joseph K. Bradley] simplified VectorIndexerModel.javaCategoryMaps
f692084 [Joseph K. Bradley] Added VectorIndexer section to ML user guide. Also added javaCategoryMaps() method and Java unit test for it.
(cherry picked from commit 6d75ed7e5c)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
same issue and fix as in Spark-7694.
Author: Shuo Xiang <shuoxiangpub@gmail.com>
Closes#6321 from coderxiang/nb and squashes the following commits:
a5e6de4 [Shuo Xiang] use getOrElse for svmmodel.tostring
2cb0177 [Shuo Xiang] Merge remote-tracking branch 'upstream/master' into nb
5f109b4 [Shuo Xiang] Merge remote-tracking branch 'upstream/master'
c5c5bfe [Shuo Xiang] Merge remote-tracking branch 'upstream/master'
98804c9 [Shuo Xiang] fix bug in topBykey and update test
(cherry picked from commit 4f572008f8)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
to be consistent with other string names in MLlib. This PR also updates the implementation to use vals instead of hardcoded strings. jkbradley leahmcguire
Author: Xiangrui Meng <meng@databricks.com>
Closes#6277 from mengxr/SPARK-7752 and squashes the following commits:
f38b662 [Xiangrui Meng] add another case _ back in test
ae5c66a [Xiangrui Meng] model type -> modelType
711d1c6 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7752
40ae53e [Xiangrui Meng] fix Java test suite
264a814 [Xiangrui Meng] add case _ back
3c456a8 [Xiangrui Meng] update NB user guide
17bba53 [Xiangrui Meng] update naive Bayes to use lowercase model type strings
(cherry picked from commit 13348e21b6)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
Update `KernelDensity` API to make it extensible to different kernels in the future. `bandwidth` is used instead of `standardDeviation`. The static `kernelDensity` method is removed from `Statistics`. The implementation is updated using BLAS, while the algorithm remains the same. sryza srowen
Author: Xiangrui Meng <meng@databricks.com>
Closes#6279 from mengxr/SPARK-7753 and squashes the following commits:
4cdfadc [Xiangrui Meng] add example code in the doc
767fd5a [Xiangrui Meng] update KernelDensity API
(cherry picked from commit 947ea1cf5f)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
to simplify test suites that require a SQLContext.
Author: Xiangrui Meng <meng@databricks.com>
Closes#6303 from mengxr/SPARK-7774 and squashes the following commits:
0622b5a [Xiangrui Meng] update some other test suites
e1f9b8d [Xiangrui Meng] add sqlContext to MLlibTestSparkContext
(cherry picked from commit ddec173cba)
Signed-off-by: Xiangrui Meng <meng@databricks.com>
Set a default value for `outputCol` instead of forcing users to name it. This is useful for intermediate transformers in the pipeline. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#6289 from mengxr/SPARK-7762 and squashes the following commits:
54edebc [Xiangrui Meng] merge master
bff8667 [Xiangrui Meng] update unit test
171246b [Xiangrui Meng] add unit test for outputCol
a4321bd [Xiangrui Meng] set default value for outputCol
(cherry picked from commit c330e52dae)
Signed-off-by: Joseph K. Bradley <joseph@databricks.com>
