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* [SPARK-14817][ML][MLLIB][DOC] Made DataFrame-based API primary in MLlib guideJoseph K. Bradley2016-07-151-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Made DataFrame-based API primary * Spark doc menu bar and other places now link to ml-guide.html, not mllib-guide.html * mllib-guide.html keeps RDD-specific list of features, with a link at the top redirecting people to ml-guide.html * ml-guide.html includes a "maintenance mode" announcement about the RDD-based API * **Reviewers: please check this carefully** * (minor) Titles for DF API no longer include "- spark.ml" suffix. Titles for RDD API have "- RDD-based API" suffix * Moved migration guide to ml-guide from mllib-guide * Also moved past guides from mllib-migration-guides to ml-migration-guides, with a redirect link on mllib-migration-guides * **Reviewers**: I did not change any of the content of the migration guides. Reorganized DataFrame-based guide: * ml-guide.html mimics the old mllib-guide.html page in terms of content: overview, migration guide, etc. * Moved Pipeline description into ml-pipeline.html and moved tuning into ml-tuning.html * **Reviewers**: I did not change the content of these guides, except some intro text. * Sidebar remains the same, but with pipeline and tuning sections added Other: * ml-classification-regression.html: Moved text about linear methods to new section in page ## How was this patch tested? Generated docs locally Author: Joseph K. Bradley <joseph@databricks.com> Closes #14213 from jkbradley/ml-guide-2.0.
* [SPARK-12212][ML][DOC] Clarifies the difference between spark.ml, ↵Timothy Hunter2015-12-101-315/+4
| | | | | | | | | | | | spark.mllib and mllib in the documentation. Replaces a number of occurences of `MLlib` in the documentation that were meant to refer to the `spark.mllib` package instead. It should clarify for new users the difference between `spark.mllib` (the package) and MLlib (the umbrella project for ML in spark). It also removes some files that I forgot to delete with #10207 Author: Timothy Hunter <timhunter@databricks.com> Closes #10234 from thunterdb/12212.
* [MINOR][DOCS] fixed list display in ml-ensemblesBenFradet2015-11-301-0/+1
| | | | | | | | | | | | The list in ml-ensembles.md wasn't properly formatted and, as a result, was looking like this: ![old](http://i.imgur.com/2ZhELLR.png) This PR aims to make it look like this: ![new](http://i.imgur.com/0Xriwd2.png) Author: BenFradet <benjamin.fradet@gmail.com> Closes #10025 from BenFradet/ml-ensembles-doc.
* [SPARK-11728] Replace example code in ml-ensembles.md using include_exampleXusen Yin2015-11-171-740/+14
| | | | | | | | | | 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.
* [SPARK-11723][ML][DOC] Use LibSVM data source rather than ↵Yanbo Liang2015-11-131-5/+5
| | | | | | | | | | | | | | | | MLUtils.loadLibSVMFile to load DataFrame 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.
* [SPARK-10518] [DOCS] Update code examples in spark.ml user guide to use ↵y-shimizu2015-09-111-46/+19
| | | | | | | | | | 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.
* [SPARK-10061] [DOC] ML ensemble docsJoseph K. Bradley2015-08-241-5/+947
| | | | | | | | | | | | | | | User guide for spark.ml GBTs and Random Forests. The examples are copied from the decision tree guide and modified to run. I caught some issues I had somehow missed in the tree guide as well. I have run all examples, including Java ones. (Of course, I thought I had previously as well...) CC: mengxr manishamde yanboliang Author: Joseph K. Bradley <joseph@databricks.com> Closes #8369 from jkbradley/ml-ensemble-docs.
* [SPARK-7574] [ML] [DOC] User guide for OneVsRestRam Sriharsha2015-05-221-0/+129
Including Iris Dataset (after shuffling and relabeling 3 -> 0 to confirm to 0 -> numClasses-1 labeling). Could not find an existing dataset in data/mllib for multiclass classification. Author: Ram Sriharsha <rsriharsha@hw11853.local> Closes #6296 from harsha2010/SPARK-7574 and squashes the following commits: 645427c [Ram Sriharsha] cleanup 46c41b1 [Ram Sriharsha] cleanup 2f76295 [Ram Sriharsha] Code Review Fixes ebdf103 [Ram Sriharsha] Java Example c026613 [Ram Sriharsha] Code Review fixes 4b7d1a6 [Ram Sriharsha] minor cleanup 13bed9c [Ram Sriharsha] add wikipedia link bb9dbfa [Ram Sriharsha] Clean up naming 6f90db1 [Ram Sriharsha] [SPARK-7574][ml][doc] User guide for OneVsRest