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* [MINOR][ML][PYSPARK] Fix omissive params which should use TypeConverterYanbo Liang2016-04-201-1/+1
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? #11663 adds type conversion functionality for parameters in Pyspark. This PR find out the omissive ```Param``` that did not pass corresponding ```TypeConverter``` argument and fix them. After this PR, all params in pyspark/ml/ used ```TypeConverter```. ## How was this patch tested? Existing tests. cc jkbradley sethah Author: Yanbo Liang <ybliang8@gmail.com> Closes #12529 from yanboliang/typeConverter.
* [SPARK-14555] First cut of Python API for Structured StreamingBurak Yavuz2016-04-201-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? This patch provides a first cut of python APIs for structured streaming. This PR provides the new classes: - ContinuousQuery - Trigger - ProcessingTime in pyspark under `pyspark.sql.streaming`. In addition, it contains the new methods added under: - `DataFrameWriter` a) `startStream` b) `trigger` c) `queryName` - `DataFrameReader` a) `stream` - `DataFrame` a) `isStreaming` This PR doesn't contain all methods exposed for `ContinuousQuery`, for example: - `exception` - `sourceStatuses` - `sinkStatus` They may be added in a follow up. This PR also contains some very minor doc fixes in the Scala side. ## How was this patch tested? Python doc tests TODO: - [ ] verify Python docs look good Author: Burak Yavuz <brkyvz@gmail.com> Author: Burak Yavuz <burak@databricks.com> Closes #12320 from brkyvz/stream-python.
* [SPARK-14104][PYSPARK][ML] All Python param setters should use the `_set` methodsethah2016-04-151-2/+2
| | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Param setters in python previously accessed the _paramMap directly to update values. The `_set` method now implements type checking, so it should be used to update all parameters. This PR eliminates all direct accesses to `_paramMap` besides the one in the `_set` method to ensure type checking happens. Additional changes: * [SPARK-13068](https://github.com/apache/spark/pull/11663) missed adding type converters in evaluation.py so those are done here * An incorrect `toBoolean` type converter was used for StringIndexer `handleInvalid` param in previous PR. This is fixed here. ## How was this patch tested? Existing unit tests verify that parameters are still set properly. No new functionality is actually added in this PR. Author: sethah <seth.hendrickson16@gmail.com> Closes #11939 from sethah/SPARK-14104.
* [SPARK-14472][PYSPARK][ML] Cleanup ML JavaWrapper and related class hierarchyBryan Cutler2016-04-131-13/+13
| | | | | | | | | | Currently, JavaWrapper is only a wrapper class for pipeline classes that have Params and JavaCallable is a separate mixin that provides methods to make Java calls. This change simplifies the class structure and to define the Java wrapper in a plain base class along with methods to make Java calls. Also, renames Java wrapper classes to better reflect their purpose. Ran existing Python ml tests and generated documentation to test this change. Author: Bryan Cutler <cutlerb@gmail.com> Closes #12304 from BryanCutler/pyspark-cleanup-JavaWrapper-SPARK-14472.
* [SPARK-14498][ML][PYTHON][SQL] Many cleanups to ML and ML-related docsJoseph K. Bradley2016-04-081-0/+2
| | | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Cleanups to documentation. No changes to code. * GBT docs: Move Scala doc for private object GradientBoostedTrees to public docs for GBTClassifier,Regressor * GLM regParam: needs doc saying it is for L2 only * TrainValidationSplitModel: add .. versionadded:: 2.0.0 * Rename “_transformer_params_from_java” to “_transfer_params_from_java” * LogReg Summary classes: “probability” col should not say “calibrated” * LR summaries: coefficientStandardErrors —> document that intercept stderr comes last. Same for t,p-values * approxCountDistinct: Document meaning of “rsd" argument. * LDA: note which params are for online LDA only ## How was this patch tested? Doc build Author: Joseph K. Bradley <joseph@databricks.com> Closes #12266 from jkbradley/ml-doc-cleanups.
* [SPARK-13786][ML][PYSPARK] Add save/load for pyspark.ml.tuningXusen Yin2016-04-061-109/+298
| | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? https://issues.apache.org/jira/browse/SPARK-13786 Add save/load for Python CrossValidator/Model and TrainValidationSplit/Model. ## How was this patch tested? Test with Python doctest. Author: Xusen Yin <yinxusen@gmail.com> Closes #12020 from yinxusen/SPARK-13786.
* [SPARK-13068][PYSPARK][ML] Type conversion for Pyspark paramssethah2016-03-231-2/+3
| | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? This patch adds type conversion functionality for parameters in Pyspark. A `typeConverter` field is added to the constructor of `Param` class. This argument is a function which converts values passed to this param to the appropriate type if possible. This is beneficial so that the params can fail at set time if they are given inappropriate values, but even more so because coherent error messages are now provided when Py4J cannot cast the python type to the appropriate Java type. This patch also adds a `TypeConverters` class with factory methods for common type conversions. Most of the changes involve adding these factory type converters to existing params. The previous solution to this issue, `expectedType`, is deprecated and can be removed in 2.1.0 as discussed on the Jira. ## How was this patch tested? Unit tests were added in python/pyspark/ml/tests.py to test parameter type conversion. These tests check that values that should be convertible are converted correctly, and that the appropriate errors are thrown when invalid values are provided. Author: sethah <seth.hendrickson16@gmail.com> Closes #11663 from sethah/SPARK-13068-tc.
* [SPARK-12877][ML] Add train-validation-split to pysparkJeremyNixon2016-03-031-1/+192
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? The changes proposed were to add train-validation-split to pyspark.ml.tuning. ## How was the this patch tested? This patch was tested through unit tests located in pyspark/ml/test.py. This is my original work and I license it to Spark. Author: JeremyNixon <jnixon2@gmail.com> Closes #11335 from JeremyNixon/tvs_pyspark.
* [SPARK-10509][PYSPARK] Reduce excessive param boiler plate codeHolden Karau2016-01-261-18/+0
| | | | | | | | The current python ml params require cut-and-pasting the param setup and description between the class & ```__init__``` methods. Remove this possible case of errors & simplify use of custom params by adding a ```_copy_new_parent``` method to param so as to avoid cut and pasting (and cut and pasting at different indentation levels urgh). Author: Holden Karau <holden@us.ibm.com> Closes #10216 from holdenk/SPARK-10509-excessive-param-boiler-plate-code.
* [SPARK-9690][ML][PYTHON] pyspark CrossValidator random seedMartin Menestret2015-12-161-7/+13
| | | | | | | | | | | | | Extend CrossValidator with HasSeed in PySpark. This PR replaces [https://github.com/apache/spark/pull/7997] CC: yanboliang thunterdb mmenestret Would one of you mind taking a look? Thanks! Author: Joseph K. Bradley <joseph@databricks.com> Author: Martin MENESTRET <mmenestret@ippon.fr> Closes #10268 from jkbradley/pyspark-cv-seed.
* [DOC] [PYSPARK] [MLLIB] Added newlines to docstrings to fix parameter formattingnoelsmith2015-09-211-0/+2
| | | | | | | | | | | | | | Added newlines before `:param ...:` and `:return:` markup. Without these, parameter lists aren't formatted correctly in the API docs. I.e: ![screen shot 2015-09-21 at 21 49 26](https://cloud.githubusercontent.com/assets/11915197/10004686/de3c41d4-60aa-11e5-9c50-a46dcb51243f.png) .. looks like this once newline is added: ![screen shot 2015-09-21 at 21 50 14](https://cloud.githubusercontent.com/assets/11915197/10004706/f86bfb08-60aa-11e5-8524-ae4436713502.png) Author: noelsmith <mail@noelsmith.com> Closes #8851 from noel-smith/docstring-missing-newline-fix.
* [SPARK-10284] [ML] [PYSPARK] [DOCS] Add @since annotation to pyspark.ml.tuningYu ISHIKAWA2015-09-171-0/+28
| | | | | | Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8694 from yu-iskw/SPARK-10284.
* [SPARK-10188] [PYSPARK] Pyspark CrossValidator with RMSE selects incorrect modelnoelsmith2015-08-271-1/+5
| | | | | | | | | | | | | * 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.
* [SPARK-9828] [PYSPARK] Mutable values should not be default argumentsMechCoder2015-08-141-2/+6
| | | | | | Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #8110 from MechCoder/spark-9828.
* [SPARK-7432] [MLLIB] fix flaky CrossValidator doctestXiangrui Meng2015-06-021-10/+9
| | | | | | | | | | The new test uses CV to compare `maxIter=0` and `maxIter=1`, and validate on the evaluation result. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #6572 from mengxr/SPARK-7432 and squashes the following commits: c236bb8 [Xiangrui Meng] fix flacky cv doctest
* [SPARK-7380] [MLLIB] pipeline stages should be copyable in PythonXiangrui Meng2015-05-181-12/+31
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR makes pipeline stages in Python copyable and hence simplifies some implementations. It also includes the following changes: 1. Rename `paramMap` and `defaultParamMap` to `_paramMap` and `_defaultParamMap`, respectively. 2. Accept a list of param maps in `fit`. 3. Use parent uid and name to identify param. jkbradley Author: Xiangrui Meng <meng@databricks.com> Author: Joseph K. Bradley <joseph@databricks.com> Closes #6088 from mengxr/SPARK-7380 and squashes the following commits: 413c463 [Xiangrui Meng] remove unnecessary doc 4159f35 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7380 611c719 [Xiangrui Meng] fix python style 68862b8 [Xiangrui Meng] update _java_obj initialization 927ad19 [Xiangrui Meng] fix ml/tests.py 0138fc3 [Xiangrui Meng] update feature transformers and fix a bug in RegexTokenizer 9ca44fb [Xiangrui Meng] simplify Java wrappers and add tests c7d84ef [Xiangrui Meng] update ml/tests.py to test copy params 7e0d27f [Xiangrui Meng] merge master 46840fb [Xiangrui Meng] update wrappers b6db1ed [Xiangrui Meng] update all self.paramMap to self._paramMap 46cb6ed [Xiangrui Meng] merge master a163413 [Xiangrui Meng] fix style 1042e80 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-7380 9630eae [Xiangrui Meng] fix Identifiable._randomUID 13bd70a [Xiangrui Meng] update ml/tests.py 64a536c [Xiangrui Meng] use _fit/_transform/_evaluate to simplify the impl 02abf13 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into copyable-python 66ce18c [Joseph K. Bradley] some cleanups before sending to Xiangrui 7431272 [Joseph K. Bradley] Rebased with master
* [SPARK-7431] [ML] [PYTHON] Made CrossValidatorModel call parent init in PySparkJoseph K. Bradley2015-05-101-0/+1
| | | | | | | | | | | | | 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
* [SPARK-7474] [MLLIB] update ParamGridBuilder doctestXiangrui Meng2015-05-081-15/+13
| | | | | | | | | | | | Multiline commands are properly handled in this PR. oefirouz ![screen shot 2015-05-07 at 10 53 25 pm](https://cloud.githubusercontent.com/assets/829644/7531290/02ad2fd4-f50c-11e4-8c04-e58d1a61ad69.png) Author: Xiangrui Meng <meng@databricks.com> Closes #6001 from mengxr/SPARK-7474 and squashes the following commits: b94b11d [Xiangrui Meng] update ParamGridBuilder doctest
* [SPARK-7432] [MLLIB] disable cv doctestXiangrui Meng2015-05-061-4/+4
| | | | | | | | | | 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
* [SPARK-6940] [MLLIB] Add CrossValidator to Python ML pipeline APIXiangrui Meng2015-05-061-2/+181
| | | | | | | | | | | | | | 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
* [SPARK-7329] [MLLIB] simplify ParamGridBuilder implXiangrui Meng2015-05-031-19/+9
| | | | | | | | | | | 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
* [SPARK-7022] [PYSPARK] [ML] Add ML.Tuning.ParamGridBuilder to PySparkOmede Firouz2015-05-031-0/+94
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
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