def test_dimensionality_reduction_two_different_methods(self, ens1, ens2):
pytest.importorskip('sklearn')
dims = [2, 3]
coordinates, details = \
encore.reduce_dimensionality(
[ens1, ens2],
method=[encore.StochasticProximityEmbeddingNative(dims[0]),
encore.PrincipalComponentAnalysis(dims[1])])
assert_equal(coordinates[1].shape[0], dims[1])
def test_dimensionality_reduction_SPENative_direct(self, ens1):
dimension = 2
method = encore.StochasticProximityEmbeddingNative(dimension=dimension)
distance_matrix = encore.get_distance_matrix(ens1)
coordinates, details = method(distance_matrix)
assert_equal(
coordinates.shape[0],
dimension,
err_msg="Unexpected result in dimensionality reduction: {0}".
format(coordinates))
def test_dimensionality_reduction_specified_dimension(self, ens1, ens2):
dimension = 3
coordinates, details = encore.reduce_dimensionality(
[ens1, ens2],
method=encore.StochasticProximityEmbeddingNative(
dimension=dimension))
assert_equal(
coordinates.shape[0],
dimension,
err_msg="Unexpected result in dimensionality reduction: {0}".
format(coordinates))
