c235b83e27
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
38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
---
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layout: global
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title: Classification and Regression - MLlib
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displayTitle: <a href="mllib-guide.html">MLlib</a> - Classification and Regression
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---
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MLlib supports various methods for
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[binary classification](http://en.wikipedia.org/wiki/Binary_classification),
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[multiclass
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classification](http://en.wikipedia.org/wiki/Multiclass_classification), and
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[regression analysis](http://en.wikipedia.org/wiki/Regression_analysis). The table below outlines
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the supported algorithms for each type of problem.
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<table class="table">
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<thead>
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<tr><th>Problem Type</th><th>Supported Methods</th></tr>
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</thead>
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<tbody>
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<tr>
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<td>Binary Classification</td><td>linear SVMs, logistic regression, decision trees, naive Bayes</td>
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</tr>
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<tr>
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<td>Multiclass Classification</td><td>decision trees, naive Bayes</td>
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</tr>
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<tr>
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<td>Regression</td><td>linear least squares, Lasso, ridge regression, decision trees</td>
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</tr>
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</tbody>
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</table>
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More details for these methods can be found here:
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* [Linear models](mllib-linear-methods.html)
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* [binary classification (SVMs, logistic regression)](mllib-linear-methods.html#binary-classification)
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* [linear regression (least squares, Lasso, ridge)](mllib-linear-methods.html#linear-least-squares-lasso-and-ridge-regression)
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* [Decision trees](mllib-decision-tree.html)
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* [Naive Bayes](mllib-naive-bayes.html)
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