title: Does scikit learn include a Naive Bayes classifier with continuous inputs?
body: <p>Is there anything in scikit learn that can help me with the following?</p>
  
  <p>I need a Bayesian network that is capable of taking continuous valued inputs and training against continuous valued targets. I then want to feed in new, previously unseen continuous inputs and receive estimates of the target values. Preferably with a way to measure confidence of the predictions. (PDFs perhaps?)</p>
  
  <p>I am uncertain whether this would be considered a Naive Bayes Classifier or not.</p>
  
  <p>I keep looking at GaussianNB but I just cannot see how it could be used in this way.</p>
  
  <p>I'd like one that support "independence of irrelevant alternatives"</p>
  
  <p>Any advice is greatly appreciated.</p>