title: loading libsvm text file in scikit
body: <p>I have a text file called "test.txt" which contains data in libsvm format.
  Data in this file is represented as follows:</p>
  
  <pre><code>165475 0:246870 1124384:2 342593:7 1141651:1 297582:1 1186846:1 17725:1 656602:1 
  463304:1 766612:1 573309:1 290046:1 748198:1 216665:1 950594:2 909004:1 29008:1      
  105623:1 5018:5 806027:1 1125729:1 757846:1 1023921:2 612980:1 120767:1 51340:1 
  108172:5 674420:2
  </code></pre>
  
  <p>where 1st term represents the label and remaining represents the feature and its weight(separated by : ).This is a very huge file(with every label having lots of features and weights).</p>
  
  <p>I am using scikit with ipython notebook and want to load this data in notebook to start processing it.</p>
  
  <p>Can someone tell how to do that.Thanks in advance.</p>