old_contents: """
  Generalized linear models
  =========================
  
  scikits.learn.glm is a module to fit genelarized linear models.
  It includes Ridge regression, Bayesian Regression, Lasso and
  Elastic Net estimators computed with Least Angle Regression
  and coordinate descent.
  
  """
  
  from .bayes import BayesianRidge, ARDRegression
  from .base import LinearRegression
  from .bayes import BayesianRidge, ARDRegression
  from .lars import LARS, LassoLARS, lars_path
  from .coordinate_descent import Lasso, ElasticNet, LassoCV, ElasticNetCV, \
                                  lasso_path, enet_path
  from .ridge import Ridge
  
  
new_contents: """
  Generalized linear models
  =========================
  
  scikits.learn.glm is a module to fit genelarized linear models.
  It includes Ridge regression, Bayesian Regression, Lasso and
  Elastic Net estimators computed with Least Angle Regression
  and coordinate descent.
  
  """
  
  from .bayes import BayesianRidge, ARDRegression
  from .base import LinearRegression
  from .bayes import BayesianRidge, ARDRegression
  from .lars import LARS, LassoLARS, lars_path
  from .coordinate_descent import Lasso, ElasticNet, LassoCV, ElasticNetCV, \
                                  lasso_path, enet_path
  from .ridge import Ridge
  
  from . import sparse
  
subject: Add sparse ti glm/__init__