# alpha and cv_alpha parameters in sklearn.linear_model.LarsCV

Can someone explain alpha and cv_alpha parameters in sklearn.linear_model.LarsCV? I am guessing that alphas refer to maximum correlation at any given step between one of the remaining explanatory variables and remaining residual. Even that might not be correct. As to the meaning of cv_alphas, that completely escapes me at the moment. Any guidance would be welcome.