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| author | Ameet Talwalkar <atalwalkar@gmail.com> | 2014-08-12 17:15:21 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-08-12 17:15:21 -0700 |
| commit | c235b83e2782cce0626ecc403c0a67e442be52c1 (patch) | |
| tree | 30b4ada17cba016cc2a8a7f01f09b7bcb78fbace /docs/mllib-classification-regression.md | |
| parent | 882da57a1c8c075a87909d516b169b624941a6ec (diff) | |
| download | spark-c235b83e2782cce0626ecc403c0a67e442be52c1.tar.gz spark-c235b83e2782cce0626ecc403c0a67e442be52c1.tar.bz2 spark-c235b83e2782cce0626ecc403c0a67e442be52c1.zip | |
SPARK-2830 [MLlib]: re-organize mllib documentation
As per discussions with Xiangrui, I've reorganized and edited the mllib documentation.
Author: Ameet Talwalkar <atalwalkar@gmail.com>
Closes #1908 from atalwalkar/master and squashes the following commits:
fe6938a [Ameet Talwalkar] made xiangruis suggested changes
840028b [Ameet Talwalkar] made xiangruis suggested changes
7ec366a [Ameet Talwalkar] reorganize and edit mllib documentation
Diffstat (limited to 'docs/mllib-classification-regression.md')
| -rw-r--r-- | docs/mllib-classification-regression.md | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md new file mode 100644 index 0000000000..719cc95767 --- /dev/null +++ b/docs/mllib-classification-regression.md @@ -0,0 +1,37 @@ +--- +layout: global +title: Classification and Regression - MLlib +displayTitle: <a href="mllib-guide.html">MLlib</a> - Classification and Regression +--- + +MLlib supports various methods for +[binary classification](http://en.wikipedia.org/wiki/Binary_classification), +[multiclass +classification](http://en.wikipedia.org/wiki/Multiclass_classification), and +[regression analysis](http://en.wikipedia.org/wiki/Regression_analysis). The table below outlines +the supported algorithms for each type of problem. + +<table class="table"> + <thead> + <tr><th>Problem Type</th><th>Supported Methods</th></tr> + </thead> + <tbody> + <tr> + <td>Binary Classification</td><td>linear SVMs, logistic regression, decision trees, naive Bayes</td> + </tr> + <tr> + <td>Multiclass Classification</td><td>decision trees, naive Bayes</td> + </tr> + <tr> + <td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees</td> + </tr> + </tbody> +</table> + +More details for these methods can be found here: + +* [Linear models](mllib-linear-methods.html) + * [binary classification (SVMs, logistic regression)](mllib-linear-methods.html#binary-classification) + * [linear regression (least squares, Lasso, ridge)](mllib-linear-methods.html#linear-least-squares-lasso-and-ridge-regression) +* [Decision trees](mllib-decision-tree.html) +* [Naive Bayes](mllib-naive-bayes.html) |