update what's new + simplify test

Author: agramfort

doc/whats_new.rst

@@ -348,6 +348,9 @@ Bug fixes
  <https://github.com/scikit-learn/scikit-learn/issues/7194>`_). By `Caio
  Oliveira <https://github.com/caioaao>`_.
 
+ - Fix :class:`linear_model.ElasticNet` sparse decision function to match
+ output with dense in the multioutput case.
+
 API changes summary
 -------------------
 

sklearn/linear_model/tests/test_sparse_coordinate_descent.py

@@ -285,10 +285,7 @@ def test_same_multiple_output_sparse_dense():
  predict_dense = l.predict(sample)
 
  l_sp = ElasticNet(normalize=normalize)
- X_sp = sp.coo_matrix([[0, 1, 2, 3, 4],
- [0, 2, 5, 8, 11],
- [9, 10, 11, 12, 13],
- [10, 11, 12, 13, 14]])
+ X_sp = sp.coo_matrix(X)
  ignore_warnings(l_sp.fit)(X_sp, y)
  sample_sparse = sp.coo_matrix(sample)
  predict_sparse = l_sp.predict(sample_sparse)