title: Vowpal Wabbit Readable Model
body: <p>I was using Vowpal Wabbit and was generating the classifier trained as a readable model.</p>
  
  <p>My dataset had 22 features and the readable model gave as output:</p>
  
  <pre><code>Version 7.2.1
  Min label:-50.000000
  Max label:50.000000
  bits:18
  0 pairs:
  0 triples:
  rank:0
  lda:0
  0 ngram:
  0 skip:
  options:
  :0
  101143:0.035237
  101144:0.033885
  101145:0.013357
  101146:-0.007537
  101147:-0.039093
  101148:-0.013357
  101149:0.001748
  116060:0.499471
  157941:-0.037318
  157942:0.008038
  157943:-0.011337
  196772:0.138384
  196773:0.109454
  196774:0.118985
  196775:-0.022981
  196776:-0.301487
  196777:-0.118985
  197006:-0.000514
  197007:-0.000373
  197008:-0.000288
  197009:-0.004444
  197010:-0.006072
  197011:0.000270
  </code></pre>
  
  <p>Can somebody please explain to me how to interpret the last portion of the file (after options: )? I was using logistic regression and I need to check how iterating over the training updates my classifier so that I can understand when I reach a convergence...</p>
  
  <p>Thanks in advance :)</p>