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@@ -426,6 +426,7 @@ <h1>Source code for ot.bregman._barycenter</h1><div class="highlight"><pre>
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<span class="sd"> ot.bregman.sinkhorn : Entropic regularized OT solver</span>
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<span class="sd"> ot.lp.free_support_barycenter : Barycenter solver based on Linear Programming</span>
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<span class="sd"> .. _references-free-support-barycenter:</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>

‎master/_modules/ot/bregman/_sinkhorn.html

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<span class="sd"> array([[0.36552929, 0.13447071],</span>
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<span class="sd"> [0.13447071, 0.36552929]])</span>
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<span class="sd"> .. _references-sinkhorn:</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [2] M. Cuturi, Sinkhorn Distances : Lightspeed Computation</span>
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<span class="sd"> of Optimal Transport, Advances in Neural Information Processing</span>
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<span class="sd"> Systems (NIPS) 26, 2013</span>
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<span class="sd"> array([[0.36552929, 0.13447071],</span>
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<span class="sd"> [0.13447071, 0.36552929]])</span>
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<span class="sd"> .. _references-sinkhorn-epsilon-scaling:</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>

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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [5] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy,</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
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<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence ,</span>
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<span class="sd"> vol.PP, no.99, pp.1-1</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
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<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence ,</span>
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<span class="sd"> .. [7] Rakotomamonjy, A., Flamary, R., &amp; Courty, N. (2015).</span>
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<span class="sd"> Generalized conditional gradient: analysis of convergence</span>
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<span class="sd"> and applications. arXiv preprint arXiv:1510.06567.</span>
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<span class="sd"> Generalized conditional gradient: analysis of convergence</span>
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<span class="sd"> and applications. arXiv preprint arXiv:1510.06567.</span>
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<span class="sd"> See Also</span>
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<span class="sd"> --------</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [5] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy,</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE Transactions</span>
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<span class="sd"> on Pattern Analysis and Machine Intelligence , vol.PP, no.99, pp.1-1</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE Transactions</span>
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<span class="sd"> on Pattern Analysis and Machine Intelligence , vol.PP, no.99, pp.1-1</span>
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<span class="sd"> .. [7] Rakotomamonjy, A., Flamary, R., &amp; Courty, N. (2015).</span>
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<span class="sd"> Generalized conditional gradient: analysis of convergence and</span>
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<span class="sd"> applications. arXiv preprint arXiv:1510.06567.</span>
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<span class="sd"> Generalized conditional gradient: analysis of convergence and</span>
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<span class="sd"> applications. arXiv preprint arXiv:1510.06567.</span>
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<span class="sd"> See Also</span>
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<span class="sd"> --------</span>
@@ -513,9 +513,9 @@ <h1>Source code for ot.da</h1><div class="highlight"><pre>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [5] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy,</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
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<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence,</span>
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<span class="sd"> vol.PP, no.99, pp.1-1</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
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<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence,</span>
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<span class="sd"> vol.PP, no.99, pp.1-1</span>
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<span class="sd"> .. [30] R. Flamary, N. Courty, D. Tuia, A. Rakotomamonjy,</span>
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<span class="sd"> &quot;Optimal transport with Laplacian regularization: Applications to domain adaptation and shape matching,&quot;</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [27] Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia</span>
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<span class="sd"> &quot;Optimal transport for multi-source domain adaptation under target shift&quot;,</span>
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<span class="sd"> International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.</span>
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<span class="sd"> &quot;Optimal transport for multi-source domain adaptation under target shift&quot;,</span>
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<span class="sd"> International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="n">nx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">nx</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [57] Delon, J., Desolneux, A., &amp; Salmona, A. (2022). Gromov–Wasserstein</span>
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<span class="sd"> distances between Gaussian distributions. Journal of Applied Probability,</span>
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<span class="sd"> 59(4), 1178-1198.</span>
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<span class="sd"> distances between Gaussian distributions. Journal of Applied Probability,</span>
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<span class="sd"> 59(4), 1178-1198.</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="sd"> References</span>
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<span class="sd"> ----------</span>
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<span class="sd"> .. [1] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy,</span>
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<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence ,</span>
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<span class="sd"> vol.PP, no.99, pp.1-1</span>
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<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
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<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence ,</span>
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<span class="sd"> vol.PP, no.99, pp.1-1</span>
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<span class="sd"> .. [2] Rakotomamonjy, A., Flamary, R., &amp; Courty, N. (2015).</span>
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<span class="sd"> Generalized conditional gradient: analysis of convergence</span>
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<span class="sd"> and applications. arXiv preprint arXiv:1510.06567.</span>
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<span class="sd"> Generalized conditional gradient: analysis of convergence</span>
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<span class="sd"> and applications. arXiv preprint arXiv:1510.06567.</span>
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<span class="sd"> .. [6] Ferradans, S., Papadakis, N., Peyré, G., &amp; Aujol, J. F. (2014).</span>
1745-
<span class="sd"> Regularized discrete optimal transport. SIAM Journal on Imaging</span>
1746-
<span class="sd"> Sciences, 7(3), 1853-1882.</span>
1745+
<span class="sd"> Regularized discrete optimal transport. SIAM Journal on Imaging</span>
1746+
<span class="sd"> Sciences, 7(3), 1853-1882.</span>
17471747
<span class="sd"> &quot;&quot;&quot;</span>
17481748

17491749
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span>
@@ -1883,8 +1883,8 @@ <h1>Source code for ot.da</h1><div class="highlight"><pre>
18831883
<span class="sd"> References</span>
18841884
<span class="sd"> ----------</span>
18851885
<span class="sd"> .. [1] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy,</span>
1886-
<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE Transactions</span>
1887-
<span class="sd"> on Pattern Analysis and Machine Intelligence , vol.PP, no.99, pp.1-1</span>
1886+
<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE Transactions</span>
1887+
<span class="sd"> on Pattern Analysis and Machine Intelligence , vol.PP, no.99, pp.1-1</span>
18881888

18891889
<span class="sd"> .. [2] R. Flamary, N. Courty, D. Tuia, A. Rakotomamonjy,</span>
18901890
<span class="sd"> &quot;Optimal transport with Laplacian regularization: Applications to domain adaptation and shape matching,&quot;</span>
@@ -2038,13 +2038,13 @@ <h1>Source code for ot.da</h1><div class="highlight"><pre>
20382038
<span class="sd"> References</span>
20392039
<span class="sd"> ----------</span>
20402040
<span class="sd"> .. [1] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy,</span>
2041-
<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
2042-
<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence ,</span>
2043-
<span class="sd"> vol.PP, no.99, pp.1-1</span>
2041+
<span class="sd"> &quot;Optimal Transport for Domain Adaptation,&quot; in IEEE</span>
2042+
<span class="sd"> Transactions on Pattern Analysis and Machine Intelligence ,</span>
2043+
<span class="sd"> vol.PP, no.99, pp.1-1</span>
20442044

20452045
<span class="sd"> .. [2] Rakotomamonjy, A., Flamary, R., &amp; Courty, N. (2015).</span>
2046-
<span class="sd"> Generalized conditional gradient: analysis of convergence</span>
2047-
<span class="sd"> and applications. arXiv preprint arXiv:1510.06567.</span>
2046+
<span class="sd"> Generalized conditional gradient: analysis of convergence</span>
2047+
<span class="sd"> and applications. arXiv preprint arXiv:1510.06567.</span>
20482048

20492049
<span class="sd"> .. [6] Ferradans, S., Papadakis, N., Peyré, G., &amp; Aujol, J. F. (2014).</span>
20502050
<span class="sd"> Regularized discrete optimal transport. SIAM Journal on Imaging</span>
@@ -2538,14 +2538,13 @@ <h1>Source code for ot.da</h1><div class="highlight"><pre>
25382538
<span class="sd"> References</span>
25392539
<span class="sd"> ----------</span>
25402540
<span class="sd"> .. [1] Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia</span>
2541-
<span class="sd"> &quot;Optimal transport for multi-source domain adaptation under target shift&quot;,</span>
2542-
<span class="sd"> International Conference on Artificial Intelligence and Statistics (AISTATS),</span>
2543-
<span class="sd"> vol. 89, p.849-858, 2019.</span>
2541+
<span class="sd"> &quot;Optimal transport for multi-source domain adaptation under target shift&quot;,</span>
2542+
<span class="sd"> International Conference on Artificial Intelligence and Statistics (AISTATS),</span>
2543+
<span class="sd"> vol. 89, p.849-858, 2019.</span>
25442544

25452545
<span class="sd"> .. [6] Ferradans, S., Papadakis, N., Peyré, G., &amp; Aujol, J. F. (2014).</span>
2546-
<span class="sd"> Regularized discrete optimal transport. SIAM Journal on Imaging</span>
2547-
<span class="sd"> Sciences, 7(3), 1853-1882.</span>
2548-
2546+
<span class="sd"> Regularized discrete optimal transport. SIAM Journal on Imaging</span>
2547+
<span class="sd"> Sciences, 7(3), 1853-1882.</span>
25492548

25502549
<span class="sd"> &quot;&quot;&quot;</span>
25512550

@@ -2718,8 +2717,8 @@ <h1>Source code for ot.da</h1><div class="highlight"><pre>
27182717
<span class="sd"> References</span>
27192718
<span class="sd"> ----------</span>
27202719
<span class="sd"> .. [27] Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia</span>
2721-
<span class="sd"> &quot;Optimal transport for multi-source domain adaptation under target shift&quot;,</span>
2722-
<span class="sd"> International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.</span>
2720+
<span class="sd"> &quot;Optimal transport for multi-source domain adaptation under target shift&quot;,</span>
2721+
<span class="sd"> International Conference on Artificial Intelligence and Statistics (AISTATS), 2019.</span>
27232722
<span class="sd"> &quot;&quot;&quot;</span>
27242723
<span class="n">nx</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">nx</span>
27252724

‎master/_modules/ot/dr.html

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@@ -310,7 +310,7 @@ <h1>Source code for ot.dr</h1><div class="highlight"><pre>
310310
<span class="sd"> References</span>
311311
<span class="sd"> ----------</span>
312312
<span class="sd"> .. [11] Flamary, R., Cuturi, M., Courty, N., &amp; Rakotomamonjy, A. (2016).</span>
313-
<span class="sd"> Wasserstein Discriminant Analysis. arXiv preprint arXiv:1608.08063.</span>
313+
<span class="sd"> Wasserstein Discriminant Analysis. arXiv preprint arXiv:1608.08063.</span>
314314
<span class="sd"> &quot;&quot;&quot;</span> <span class="c1"># noqa</span>
315315

316316
<span class="k">if</span> <span class="n">sinkhorn_method</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s2">&quot;sinkhorn&quot;</span><span class="p">:</span>
@@ -453,8 +453,8 @@ <h1>Source code for ot.dr</h1><div class="highlight"><pre>
453453
<span class="sd"> References</span>
454454
<span class="sd"> ----------</span>
455455
<span class="sd"> .. [32] Huang, M. , Ma S. &amp; Lai L. (2021).</span>
456-
<span class="sd"> A Riemannian Block Coordinate Descent Method for Computing</span>
457-
<span class="sd"> the Projection Robust Wasserstein Distance, ICML.</span>
456+
<span class="sd"> A Riemannian Block Coordinate Descent Method for Computing</span>
457+
<span class="sd"> the Projection Robust Wasserstein Distance, ICML.</span>
458458
<span class="sd"> &quot;&quot;&quot;</span> <span class="c1"># noqa</span>
459459

460460
<span class="c1"># initialization</span>
@@ -597,7 +597,7 @@ <h1>Source code for ot.dr</h1><div class="highlight"><pre>
597597
<span class="sd"> References</span>
598598
<span class="sd"> ----------</span>
599599
<span class="sd"> .. [52] Collas, A., Vayer, T., Flamary, F., &amp; Breloy, A. (2023).</span>
600-
<span class="sd"> Entropic Wasserstein Component Analysis.</span>
600+
<span class="sd"> Entropic Wasserstein Component Analysis.</span>
601601
<span class="sd"> &quot;&quot;&quot;</span> <span class="c1"># noqa</span>
602602
<span class="n">n</span><span class="p">,</span> <span class="n">d</span> <span class="o">=</span> <span class="n">X</span><span class="o">.</span><span class="n">shape</span>
603603
<span class="n">X</span> <span class="o">=</span> <span class="n">X</span> <span class="o">-</span> <span class="n">X</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>

‎master/_modules/ot/gromov/_gw.html

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@@ -1007,7 +1007,6 @@ <h1>Source code for ot.gromov._gw</h1><div class="highlight"><pre>
10071007

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<span class="sd"> .. _references-solve-linesearch:</span>
1010-
10111010
<span class="sd"> References</span>
10121011
<span class="sd"> ----------</span>
10131012
<span class="sd"> .. [24] Vayer Titouan, Chapel Laetitia, Flamary Rémi, Tavenard Romain and Courty Nicolas</span>
@@ -1395,6 +1394,7 @@ <h1>Source code for ot.gromov._gw</h1><div class="highlight"><pre>
13951394
<span class="sd"> - :math:`(\mathbf{M}_s)_s`: all distance matrices between the feature of the barycenter and the other features :math:`(dist(\mathbf{X}, \mathbf{Y}_s))_s` shape (`N`, `ns`)</span>
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<span class="sd"> - values used in convergence evaluation.</span>
13971396

1397+
13981398
<span class="sd"> .. _references-fgw-barycenters:</span>
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<span class="sd"> References</span>
14001400
<span class="sd"> ----------</span>

‎master/_modules/ot/gromov/_partial.html

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@@ -701,6 +701,7 @@ <h1>Source code for ot.gromov._partial</h1><div class="highlight"><pre>
701701
<span class="sd"> log : dict</span>
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<span class="sd"> Convergence information and loss.</span>
703703

704+
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<span class="sd"> .. _references-partial-gromov-wasserstein:</span>
705706
<span class="sd"> References</span>
706707
<span class="sd"> ----------</span>
@@ -1000,6 +1001,7 @@ <h1>Source code for ot.gromov._partial</h1><div class="highlight"><pre>
10001001
<span class="sd"> log : dict</span>
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<span class="sd"> log dictionary returned only if `log` is `True`</span>
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1004+
10031005
<span class="sd"> .. _references-partial-gromov-wasserstein2:</span>
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<span class="sd"> References</span>
10051007
<span class="sd"> ----------</span>

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