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author | Dongjoon Hyun <dongjoon@apache.org> | 2016-06-11 12:55:38 +0100 |
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committer | Sean Owen <sowen@cloudera.com> | 2016-06-11 12:55:38 +0100 |
commit | ad102af169c7344b30d3b84aa16452fcdc22542c (patch) | |
tree | 3ddc38bba4e271d6e361c7a880d12c030a76a532 /docs/mllib-linear-methods.md | |
parent | 3761330dd0151d7369d7fba4d4c344e9863990ef (diff) | |
download | spark-ad102af169c7344b30d3b84aa16452fcdc22542c.tar.gz spark-ad102af169c7344b30d3b84aa16452fcdc22542c.tar.bz2 spark-ad102af169c7344b30d3b84aa16452fcdc22542c.zip |
[SPARK-15883][MLLIB][DOCS] Fix broken links in mllib documents
## What changes were proposed in this pull request?
This issue fixes all broken links on Spark 2.0 preview MLLib documents. Also, this contains some editorial change.
**Fix broken links**
* mllib-data-types.md
* mllib-decision-tree.md
* mllib-ensembles.md
* mllib-feature-extraction.md
* mllib-pmml-model-export.md
* mllib-statistics.md
**Fix malformed section header and scala coding style**
* mllib-linear-methods.md
**Replace indirect forward links with direct one**
* ml-classification-regression.md
## How was this patch tested?
Manual tests (with `cd docs; jekyll build`.)
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes #13608 from dongjoon-hyun/SPARK-15883.
Diffstat (limited to 'docs/mllib-linear-methods.md')
-rw-r--r-- | docs/mllib-linear-methods.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/mllib-linear-methods.md b/docs/mllib-linear-methods.md index 63665c49bc..17d781ac23 100644 --- a/docs/mllib-linear-methods.md +++ b/docs/mllib-linear-methods.md @@ -185,10 +185,10 @@ algorithm for 200 iterations. import org.apache.spark.mllib.optimization.L1Updater val svmAlg = new SVMWithSGD() -svmAlg.optimizer. - setNumIterations(200). - setRegParam(0.1). - setUpdater(new L1Updater) +svmAlg.optimizer + .setNumIterations(200) + .setRegParam(0.1) + .setUpdater(new L1Updater) val modelL1 = svmAlg.run(training) {% endhighlight %} @@ -395,7 +395,7 @@ section of the Spark quick-start guide. Be sure to also include *spark-mllib* to your build file as a dependency. -###Streaming linear regression +### Streaming linear regression When data arrive in a streaming fashion, it is useful to fit regression models online, updating the parameters of the model as new data arrives. `spark.mllib` currently supports |