def test_tga_median():
# TGA on dense arrays
tga = TGA(n_components=2, random_state=1, centering='median')
X = iris.data
X_r = tga.fit(X).transform(X)
assert_equal(X_r.shape[1], 2)
tga = TGA(n_components=2, random_state=1, centering='median')
X_r2 = tga.fit_transform(X)
assert_array_almost_equal(X_r, X_r2)
tga = TGA(random_state=1, centering='median')
tga.fit(X)
X_r = tga.transform(X)
tga = TGA(random_state=1, centering='median')
X_r2 = tga.fit_transform(X)
assert_array_almost_equal(X_r, X_r2)
