diff options
author | ngayraud <nat.gayraud@gmail.com> | 2019-08-12 16:37:58 -0400 |
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committer | ngayraud <nat.gayraud@gmail.com> | 2019-08-12 16:37:58 -0400 |
commit | 9d4b786a036ac95989825beec819521089fb4feb (patch) | |
tree | 3d9fcc4fd26e5d8dbe100d79eddf0776801df33a | |
parent | 092866815cf906012f9194b87af1e7ae0270f7e7 (diff) |
fixes for travis, added test, minor nits
-rw-r--r-- | .travis.yml | 5 | ||||
-rw-r--r-- | ot/da.py | 2 | ||||
-rw-r--r-- | ot/utils.py | 4 | ||||
-rw-r--r-- | test/test_da.py | 73 |
4 files changed, 80 insertions, 4 deletions
diff --git a/.travis.yml b/.travis.yml index 5e5694b..72fd29a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -13,7 +13,7 @@ matrix: python: 3.5 - os: linux sudo: required - python: 3.6 + python: 3.6 - os: linux sudo: required python: 2.7 @@ -21,7 +21,6 @@ before_install: - ./.travis/before_install.sh before_script: # configure a headless display to test plot generation - "export DISPLAY=:99.0" - - "sh -e /etc/init.d/xvfb start" - sleep 3 # give xvfb some time to start # command to install dependencies install: @@ -30,6 +29,8 @@ install: - pip install flake8 pytest "pytest-cov<2.6" - pip install . # command to run tests + check syntax style +services: + - xvfb script: - python setup.py develop - flake8 examples/ ot/ test/ @@ -1852,7 +1852,7 @@ class UnbalancedSinkhornTransport(BaseTransport): """ def __init__(self, reg_e=1., reg_m=0.1, method='sinkhorn', - max_iter=10, tol=10e-9, verbose=False, log=False, + max_iter=10, tol=1e-9, verbose=False, log=False, metric="sqeuclidean", norm=None, distribution_estimation=distribution_estimation_uniform, out_of_sample_map='ferradans', limit_max=10): diff --git a/ot/utils.py b/ot/utils.py index be839f8..a334fea 100644 --- a/ot/utils.py +++ b/ot/utils.py @@ -178,7 +178,9 @@ def cost_normalization(C, norm=None): The input cost matrix normalized according to given norm. """ - if norm == "median": + if norm is None: + pass + elif norm == "median": C /= float(np.median(C)) elif norm == "max": C /= float(np.max(C)) diff --git a/test/test_da.py b/test/test_da.py index f7f3a9d..9efd2d9 100644 --- a/test/test_da.py +++ b/test/test_da.py @@ -245,6 +245,79 @@ def test_sinkhorn_transport_class(): assert len(otda.log_.keys()) != 0 +def test_unbalanced_sinkhorn_transport_class(): + """test_sinkhorn_transport + """ + + ns = 150 + nt = 200 + + Xs, ys = make_data_classif('3gauss', ns) + Xt, yt = make_data_classif('3gauss2', nt) + + otda = ot.da.UnbalancedSinkhornTransport() + + # test its computed + otda.fit(Xs=Xs, Xt=Xt) + assert hasattr(otda, "cost_") + assert hasattr(otda, "coupling_") + assert hasattr(otda, "log_") + + # test dimensions of coupling + assert_equal(otda.cost_.shape, ((Xs.shape[0], Xt.shape[0]))) + assert_equal(otda.coupling_.shape, ((Xs.shape[0], Xt.shape[0]))) + + # test margin constraints + mu_s = unif(ns) + mu_t = unif(nt) + assert_allclose( + np.sum(otda.coupling_, axis=0), mu_t, rtol=1e-3, atol=1e-3) + assert_allclose( + np.sum(otda.coupling_, axis=1), mu_s, rtol=1e-3, atol=1e-3) + + # test transform + transp_Xs = otda.transform(Xs=Xs) + assert_equal(transp_Xs.shape, Xs.shape) + + Xs_new, _ = make_data_classif('3gauss', ns + 1) + transp_Xs_new = otda.transform(Xs_new) + + # check that the oos method is working + assert_equal(transp_Xs_new.shape, Xs_new.shape) + + # test inverse transform + transp_Xt = otda.inverse_transform(Xt=Xt) + assert_equal(transp_Xt.shape, Xt.shape) + + Xt_new, _ = make_data_classif('3gauss2', nt + 1) + transp_Xt_new = otda.inverse_transform(Xt=Xt_new) + + # check that the oos method is working + assert_equal(transp_Xt_new.shape, Xt_new.shape) + + # test fit_transform + transp_Xs = otda.fit_transform(Xs=Xs, Xt=Xt) + assert_equal(transp_Xs.shape, Xs.shape) + + # test unsupervised vs semi-supervised mode + otda_unsup = ot.da.SinkhornTransport() + otda_unsup.fit(Xs=Xs, Xt=Xt) + n_unsup = np.sum(otda_unsup.cost_) + + otda_semi = ot.da.SinkhornTransport() + otda_semi.fit(Xs=Xs, ys=ys, Xt=Xt, yt=yt) + assert_equal(otda_semi.cost_.shape, ((Xs.shape[0], Xt.shape[0]))) + n_semisup = np.sum(otda_semi.cost_) + + # check that the cost matrix norms are indeed different + assert n_unsup != n_semisup, "semisupervised mode not working" + + # check everything runs well with log=True + otda = ot.da.SinkhornTransport(log=True) + otda.fit(Xs=Xs, ys=ys, Xt=Xt) + assert len(otda.log_.keys()) != 0 + + def test_emd_transport_class(): """test_sinkhorn_transport """ |