title: In sklearn elastic net how does the alpha and l1_ratio relate to lambda_1 and lambda_2
body: <p>In the paper by Zou and Hastie <a href="http://www.stanford.edu/~hastie/Papers/elasticnet.pdf" rel="nofollow">http://www.stanford.edu/~hastie/Papers/elasticnet.pdf</a> the elastic net is defined with two regularization parameters λ1 and λ2 .They also provide another form with the use of an elastic net penalty term a where a constraint alpha is defined as  α = λ2 /λ1 + λ2.</p>
  
  <p>My question is in the scikit-learn elastic net module whats is the relationship of the alpha and l1_ratio parameters to the parameters in the paper?</p>
  
  <p>As far as I understood the l1_ratio in sklearn is equal to λ2 /λ1 + λ2.and alpha in sklearn is eqaul to λ1 + λ2.Is this correct?</p>