@@ -77,8 +77,8 @@ def sinkhorn_unbalanced(a, b, M, reg, mu, method='sinkhorn', numItermax=1000,
7777 >>> b=[.5, .5]
7878 >>> M=[[0., 1.], [1., 0.]]
7979 >>> ot.sinkhorn_unbalanced(a, b, M, 1, 1)
80- array([[0.51122823 , 0.18807035 ],
81- [0.18807035 , 0.51122823 ]])
80+ array([[0.51122818 , 0.18807034 ],
81+ [0.18807034 , 0.51122818 ]])
8282
8383
8484 References
@@ -193,7 +193,7 @@ def sinkhorn_unbalanced2(a, b, M, reg, mu, method='sinkhorn',
193193 >>> b=[.5, .5]
194194 >>> M=[[0., 1.],[1., 0.]]
195195 >>> ot.unbalanced.sinkhorn_unbalanced2(a, b, M, 1., 1.)
196- array([0.31912866 ])
196+ array([0.31912862 ])
197197
198198
199199
@@ -308,8 +308,8 @@ def sinkhorn_knopp_unbalanced(a, b, M, reg, mu, numItermax=1000,
308308 >>> b=[.5, .5]
309309 >>> M=[[0., 1.],[1., 0.]]
310310 >>> ot.unbalanced.sinkhorn_knopp_unbalanced(a, b, M, 1., 1.)
311- array([[0.51122823 , 0.18807035 ],
312- [0.18807035 , 0.51122823 ]])
311+ array([[0.51122818 , 0.18807034 ],
312+ [0.18807034 , 0.51122818 ]])
313313
314314 References
315315 ----------
@@ -479,8 +479,8 @@ def sinkhorn_stabilized_unbalanced(a, b, M, reg, mu, tau=1e5, numItermax=1000,
479479 >>> b=[.5, .5]
480480 >>> M=[[0., 1.],[1., 0.]]
481481 >>> ot.unbalanced.sinkhorn_stabilized_unbalanced(a, b, M, 1., 1.)
482- array([[0.51122823 , 0.18807035 ],
483- [0.18807035 , 0.51122823 ]])
482+ array([[0.51122818 , 0.18807034 ],
483+ [0.18807034 , 0.51122818 ]])
484484
485485 References
486486 ----------
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