add test plot and dataset

test/test_dr.py

@@ -12,22 +12,17 @@
 @pytest.mark.skipif(nogo, reason="Missing modules (autograd or pymanopt)")
 def test_fda():
 
- n = 100 # nb samples in source and target datasets
- nz = 0.2
+ n = 90 # nb samples in source and target datasets
  np.random.seed(0)
 
  # generate circle dataset
- t = np.random.rand(n) * 2 * np.pi
- ys = np.floor((np.arange(n) * 1.0 / n * 3)) + 1
- xs = np.concatenate(
- (np.cos(t).reshape((-1, 1)), np.sin(t).reshape((-1, 1))), 1)
- xs = xs * ys.reshape(-1, 1) + nz * np.random.randn(n, 2)
+ xs, ys = ot.datasets.get_data_classif('gaussrot', n)
 
  nbnoise = 8
 
  xs = np.hstack((xs, np.random.randn(n, nbnoise)))
 
- p = 2
+ p = 1
 
  Pfda, projfda = ot.dr.fda(xs, ys, p)