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authorPatrick Wendell <pwendell@apache.org>2015-04-29 01:39:27 +0000
committerPatrick Wendell <pwendell@apache.org>2015-04-29 01:39:27 +0000
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<div class="col-md-4 col-padded">
<h3>Algorithms</h3>
<p>
- MLlib 1.3 contains the following algorithms:
+ MLlib 1.1 contains the following algorithms:
</p>
<ul class="list-narrow">
<li>linear SVM and logistic regression</li>
<li>classification and regression tree</li>
- <li>random forest and gradient-boosted trees</li>
- <li>clusteirng via k-means, Gaussian mixtures, and power iteration clustering</li>
- <li>topic modeling via latent Dirichlet allocation</li>
+ <li>k-means clustering</li>
<li>recommendation via alternating least squares</li>
<li>singular value decomposition</li>
<li>linear regression with L<sub>1</sub>- and L<sub>2</sub>-regularization</li>
- <li>isotonic regression</li>
<li>multinomial naive Bayes</li>
- <li>frequent itemset mining via FP-growth</li>
<li>basic statistics</li>
<li>feature transformations</li>
</ul>