title: Support Vector Machine in Apache Spark
body: <p>I would like to have some insights in running <strong>Support Vector Machine (SVM)</strong> in <a href="http://spark.incubator.apache.org/" rel="nofollow">Apache Spark</a>.<br/>
  When I use the <em>run-example</em> script given in the Spark home directory and using the argument <code>org.apache.spark.mllib.classification.SVMWithSGD</code> it displays the following <code><code>Usage: SVM &lt;master&gt; &lt;input_dir&gt; &lt;step_size&gt; &lt;regularization_parameter&gt; &lt;niters&gt;</code></code> message. I understand the <em><code>&lt;master&gt;</code></em>, the <em><code>&lt;input_dir&gt;</code></em> and the <em><code>&lt;niters&gt;</code></em> arguments.<br/>
  Can you please help me figure out the rest of the arguments or at least direct me to some tutorial site of some sort?</p>