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partial with readme updated
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README.md

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@@ -259,4 +259,6 @@ You can also post bug reports and feature requests in Github issues. Make sure t
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[26] Alaya M. Z., Bérar M., Gasso G., Rakotomamonjy A. (2019). [Screening Sinkhorn Algorithm for Regularized Optimal Transport](https://papers.nips.cc/paper/9386-screening-sinkhorn-algorithm-for-regularized-optimal-transport), Advances in Neural Information Processing Systems 33 (NeurIPS).
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[27] Redko I., Courty N., Flamary R., Tuia D. (2019). [Optimal Transport for Multi-source Domain Adaptation under Target Shift](http://proceedings.mlr.press/v89/redko19a.html), Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS) 22, 2019.
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[27] Redko I., Courty N., Flamary R., Tuia D. (2019). [Optimal Transport for Multi-source Domain Adaptation under Target Shift](http://proceedings.mlr.press/v89/redko19a.html), Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS) 22, 2019.
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[28] Chapel, L., Alaya, M., Gasso, G. (2019). [Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning"] (https://arxiv.org/abs/2002.08276), arXiv preprint arXiv:2002.08276.

ot/partial.py

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.. [26] Caffarelli, L. A., & McCann, R. J. (2010) Free boundaries in
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optimal transport and Monge-Ampere obstacle problems. Annals of
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mathematics, 673-730.
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.. [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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.. [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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Wasserstein with Applications on Positive-Unlabeled Learning".
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arXiv preprint arXiv:2002.08276.
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.. [26] Caffarelli, L. A., & McCann, R. J. (2010) Free boundaries in
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optimal transport and Monge-Ampere obstacle problems. Annals of
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mathematics, 673-730.
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.. [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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.. [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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Wasserstein with Applications on Positive-Unlabeled Learning".
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arXiv preprint arXiv:2002.08276.
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"""
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- a and b are the sample weights
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- m is the amount of mass to be transported
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The formulation of the problem has been proposed in [27]_
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The formulation of the problem has been proposed in [28]_
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Parameters
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References
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----------
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.. [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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.. [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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Wasserstein with Applications on Positive-Unlabeled Learning".
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arXiv preprint arXiv:2002.08276.
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- m is the amount of mass to be transported
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The formulation of the problem has been proposed in [27]_
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The formulation of the problem has been proposed in [28]_
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Parameters
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References
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.. [27] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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.. [28] Chapel, L., Alaya, M., Gasso, G. (2019). "Partial Gromov-
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Wasserstein with Applications on Positive-Unlabeled Learning".
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arXiv preprint arXiv:2002.08276.
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