DOC rm references to deprecated stuff

Author: larsmans

doc/modules/classes.rst

@@ -502,9 +502,6 @@ From text
 
 **User guide:** See the :ref:`linear_model` section for further details.
 
-For dense data
---------------
-
 .. currentmodule:: sklearn
 
 .. autosummary::
@@ -549,27 +546,6 @@ For dense data
    linear_model.orthogonal_mp
    linear_model.orthogonal_mp_gram
 
-For sparse data
----------------
-
-.. automodule:: sklearn.linear_model.sparse
-   :no-members:
-   :no-inherited-members:
-
-**User guide:** See the :ref:`linear_model` section for further details.
-
-.. currentmodule:: sklearn
-
-.. autosummary::
-   :toctree: generated/
-   :template: class.rst
-
-   linear_model.Lasso
-   linear_model.ElasticNet
-   linear_model.sparse.SGDClassifier
-   linear_model.sparse.SGDRegressor
-   linear_model.LogisticRegression
-
 
 .. _manifold_ref:
 

doc/modules/sgd.rst

@@ -193,8 +193,6 @@ scale of the target variables.
  - :ref:`example_linear_model_plot_sgd_ols.py`,
 
 
-.. currentmodule:: sklearn.linear_model.sparse
-
 Stochastic Gradient Descent for sparse data
 ===========================================
 

examples/applications/plot_tomography_l1_reconstruction.py

@@ -21,10 +21,9 @@
 addition to the data-fidelity term corresponding to a linear regression,
 we penalize the L1 norm of the image to account for its sparsity. The
 resulting optimization problem is called the :ref:`lasso`. We use the
-class :class:`sklearn.linear_model.sparse.Lasso`, that uses the
-coordinate descent algorithm. Importantly, this implementation is more
-computationally efficient on a sparse matrix, as the projection operator
-used here.
+class :class:`sklearn.linear_model.Lasso`, that uses the coordinate descent
+algorithm. Importantly, this implementation is more computationally efficient
+on a sparse matrix, than the projection operator used here.
 
 The reconstruction with L1 penalization gives a result with zero error
 (all pixels are successfully labeled with 0 or 1), even if noise was

sklearn/linear_model/setup.py

@@ -36,7 +36,6 @@ def configuration(parent_package='', top_path=None):
 
     # add other directories
     config.add_subpackage('tests')
-    config.add_subpackage('sparse')
 
     return config