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| author | Patrick Wendell <pwendell@apache.org> | 2014-09-11 21:06:59 +0000 |
|---|---|---|
| committer | Patrick Wendell <pwendell@apache.org> | 2014-09-11 21:06:59 +0000 |
| commit | 7cb8327dcadcaf0a266af08a2fc0feed0d410b10 (patch) | |
| tree | aafd4750ada49a71ce2baeae0f2077e971af6026 /site/mllib | |
| parent | 56c37c5bcc8422303ee78fc784531322b5850e2b (diff) | |
| download | spark-website-7cb8327dcadcaf0a266af08a2fc0feed0d410b10.tar.gz spark-website-7cb8327dcadcaf0a266af08a2fc0feed0d410b10.tar.bz2 spark-website-7cb8327dcadcaf0a266af08a2fc0feed0d410b10.zip | |
New format for downloads page.
Diffstat (limited to 'site/mllib')
| -rw-r--r-- | site/mllib/index.html | 31 |
1 files changed, 15 insertions, 16 deletions
diff --git a/site/mllib/index.html b/site/mllib/index.html index 6da0205d6..4ac0dde7a 100644 --- a/site/mllib/index.html +++ b/site/mllib/index.html @@ -48,6 +48,11 @@ <body> +<script src="https://code.jquery.com/jquery.js"></script> +<script src="//netdna.bootstrapcdn.com/bootstrap/3.0.3/js/bootstrap.min.js"></script> +<script src="/js/lang-tabs.js"></script> +<script src="/js/downloads.js"></script> + <div class="container" style="max-width: 1200px;"> <div class="masthead"> @@ -186,9 +191,9 @@ points = spark.textFile(<span class="string">"hdfs://..."</span>)<br /> .<span class="sparkop">map</span>(<span class="closure">parsePoint</span>)<br /> <br /> - model = KMeans.<span class="sparkop">train</span>(points, k=10) + model = KMeans.<span class="sparkop">train</span>(points) </div> - <div class="caption">Calling MLlib in Python</div> + <div class="caption">Calling MLlib in Scala</div> </div> </div> </div> @@ -242,18 +247,16 @@ <div class="col-md-4 col-padded"> <h3>Algorithms</h3> <p> - MLlib 1.1 contains the following algorithms: + MLlib 0.9 contains the following algorithms: </p> <ul class="list-narrow"> - <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> + <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> </ul> <p>Refer to the <a href="/docs/latest/mllib-guide.html">MLlib guide</a> for usage examples.</p> </div> @@ -311,9 +314,5 @@ </div> -<script src="https://code.jquery.com/jquery.js"></script> -<script src="//netdna.bootstrapcdn.com/bootstrap/3.0.3/js/bootstrap.min.js"></script> -<script src="/js/lang-tabs.js"></script> - </body> </html> |