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diff --git a/site/mllib/index.html b/site/mllib/index.html index 1231836f0..baec80a7c 100644 --- a/site/mllib/index.html +++ b/site/mllib/index.html @@ -242,7 +242,7 @@ <div class="col-md-4 col-padded"> <h3>Algorithms</h3> <p> - MLlib 0.8.1 contains the following algorithms: + MLlib 0.9 contains the following algorithms: </p> <ul class="list-narrow"> <li>K-means clustering with <a href="http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf">K-means|| initialization</a>.</li> @@ -250,7 +250,7 @@ <li>L<sub>1</sub>- and L<sub>2</sub>-regularized <a href="http://en.wikipedia.org/wiki/Logistic_regression">logistic regression</a>.</li> <li><a href="http://www.hpl.hp.com/personal/Robert_Schreiber/papers/2008%20AAIM%20Netflix/netflix_aaim08(submitted).pdf">Alternating least squares</a> collaborative filtering, with explicit ratings or <a href="http://www2.research.att.com/~yifanhu/PUB/cf.pdf">implicit feedback</a>.</li> - <!--<li><a href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier">Naive Bayes</a> multinomial classification.</li>--> + <li><a href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier">Naive Bayes</a> multinomial classification.</li> <li>Stochastic gradient descent.</li> </ul> <p>Refer to the <a href="/docs/latest/mllib-guide.html">MLlib guide</a> for usage examples.</p> |