From 2aeb591be6b19a93f187516495ed15f1a47be925 Mon Sep 17 00:00:00 2001 From: Oleksii Kachaiev Date: Wed, 3 May 2023 10:36:09 +0200 Subject: [DOC] Corrected spelling errors (#467) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Fix typos in docstrings and examples * A few more fixes * Fix ref for `center_ot_dual` function * Another typo * Fix titles formatting * Explicit empty line after math blocks * Typo: asymmetric * Fix code cell formatting for 1D barycenters * Empirical * Fix indentation for references * Fixed all WARNINGs about title formatting * Fix empty lines after math blocks * Fix whitespace line * Update changelog * Consistent Gromov-Wasserstein * More Gromov-Wasserstein consistency --------- Co-authored-by: Rémi Flamary --- examples/domain-adaptation/plot_otda_semi_supervised.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'examples/domain-adaptation') diff --git a/examples/domain-adaptation/plot_otda_semi_supervised.py b/examples/domain-adaptation/plot_otda_semi_supervised.py index 478c3b8..278c8dd 100644 --- a/examples/domain-adaptation/plot_otda_semi_supervised.py +++ b/examples/domain-adaptation/plot_otda_semi_supervised.py @@ -50,7 +50,7 @@ ot_sinkhorn_semi = ot.da.SinkhornTransport(reg_e=1e-1) ot_sinkhorn_semi.fit(Xs=Xs, Xt=Xt, ys=ys, yt=yt) transp_Xs_sinkhorn_semi = ot_sinkhorn_semi.transform(Xs=Xs) -# semi supervised DA uses available labaled target samples to modify the cost +# semi supervised DA uses available labeled target samples to modify the cost # matrix involved in the OT problem. The cost of transporting a source sample # of class A onto a target sample of class B != A is set to infinite, or a # very large value @@ -92,7 +92,7 @@ pl.subplot(2, 2, 4) pl.imshow(ot_sinkhorn_semi.cost_, interpolation='nearest') pl.xticks([]) pl.yticks([]) -pl.title('Cost matrix - semisupervised DA') +pl.title('Cost matrix - semi-supervised DA') pl.tight_layout() -- cgit v1.2.3