title: Scikit SVM Python : How to pass training set for YES/No decision
body: <p>I want to create SVM Model for smoking decision based on the tweets. </p>
  
  <p>I have set of tweets tagged manually tagged to Yes, No or NA based on whether           the tweet favors smoking or not or the third one if it doesn't say anything.
  Using this as train model, i need to make decision for the new tweet whether its Yes/NO/NA.
    I am using Scikit library of Python for this.</p>
  
  <p>I went through the sample examples but i'm not understanding what should be   the input for training model i.e(X, Y values)
  I'm not understanding what does it mean by
  "take as input two arrays: an array X of size [n_samples, n_features] holding the training samples, and an array y of class labels (strings or integers), size [n_samples]:"
  as it says in <a href="http://scikit-learn.org/stable/modules/svm.html" rel="nofollow">Scikit tutorial</a></p>
  
  <p>Please someone assist what should be the input for this scenario.</p>