From 46d52fbb9be4b5b90a7a1ee9ce3e943156d190b9 Mon Sep 17 00:00:00 2001
From: Xiangrui Meng <meng@apache.org>
Date: Mon, 1 Sep 2014 05:06:58 +0000
Subject: update mllib webpage

---
 mllib/index.md | 22 ++++++++++++----------
 1 file changed, 12 insertions(+), 10 deletions(-)

(limited to 'mllib/index.md')

diff --git a/mllib/index.md b/mllib/index.md
index 9d945bf36..66e62df6c 100644
--- a/mllib/index.md
+++ b/mllib/index.md
@@ -29,9 +29,9 @@ subproject: MLlib
         points = spark.textFile(<span class="string">"hdfs://..."</span>)<br/>
         &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;.<span class="sparkop">map</span>(<span class="closure">parsePoint</span>)<br/>
         <br/>
-        model = KMeans.<span class="sparkop">train</span>(points)
+        model = KMeans.<span class="sparkop">train</span>(points, k=10)
       </div>
-      <div class="caption">Calling MLlib in Scala</div>
+      <div class="caption">Calling MLlib in Python</div>
     </div>
   </div>
 </div>
@@ -82,16 +82,18 @@ subproject: MLlib
   <div class="col-md-4 col-padded">
     <h3>Algorithms</h3>
     <p>
-      MLlib 0.9 contains the following algorithms:
+      MLlib 1.1 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>
-      <li>L<sub>1</sub>- and L<sub>2</sub>-regularized <a href="http://en.wikipedia.org/wiki/Linear_regression">linear regression</a>.</li>
-      <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>Stochastic gradient descent.</li>
+      <li>linear SVM and logistic regression</li>
+      <li>classification and regression tree</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>multinomial naive Bayes</li>
+      <li>basic statistics</li>
+      <li>feature transformations</li>
     </ul>
     <p>Refer to the <a href="{{site.url}}docs/latest/mllib-guide.html">MLlib guide</a> for usage examples.</p>
   </div>
-- 
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