def lasso_path(X, y, eps=0.001, n_alphas=100, alphas=None, precompute='auto', Xy=None, copy_X=True, coef_init=None, verbose=False, return_n_iter=False, positive=False, **params):
 return enet_path(X, y, l1_ratio=1.0, eps=eps, n_alphas=n_alphas, alphas=alphas, precompute=precompute, Xy=Xy, copy_X=copy_X, coef_init=coef_init, verbose=verbose, positive=positive, return_n_iter=return_n_iter, **params)

def lasso_path ( X , y , eps = 0.001 , n_alphas = 100 , alphas = None , precompute = 'auto' , Xy = None , copy_X = True , coef_init = None , verbose = False , return_n_iter = False , positive = False , ** params ) : return enet_path ( X , y , l1_ratio = 1.0 , eps = eps , n_alphas = n_alphas , alphas = alphas , precompute = precompute , Xy = Xy , copy_X = copy_X , coef_init = coef_init , verbose = verbose , positive = positive , return_n_iter = return_n_iter , ** params )
compute lasso path with coordinate descent the lasso optimization function varies for mono and multi-outputs .