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Quick start guide — POT Python Optimal Transport 0.8.2 documentation

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In the following we provide some pointers about which functions and classes to use for different problems related to optimal transport (OT) and machine learning. We refer when we can to concrete examples in the documentation that are also available as notebooks on the POT Github. Note For a good introduction to numerical optimal transport we refer the reader to the book by Peyré and Cuturi 15. For more detailed introduction to OT and how it can be used in ML applications we refer the reader to the following OTML tutorial. Note Since version 0.8, POT provides a backend to automatically solve some OT problems independently from the toolbox used by the user (numpy/torch/jax). We provide a discussion about which functions are compatible in section Backend section . Optimal Transport (OT) is a mathematical problem introduced by Gaspard Monge in 1781 that aim at finding the most efficient way to move mass between distributions. The cost of moving a unit of mass between two positions is calle

Quick start guide - POT Python Optimal Transport 0.9.5 documentation Quick start guide View page source Quick start guide  In the following we provide some pointers about which functions and classes to use for different problems related to optimal transport (OT) and machine learning. We refer when we can to concrete examples in the documentation that are also available as notebooks on the POT Github. Note For a good introduction to numerical optimal transport we refer the reader to the book by Peyré and Cuturi [ 15 ] . For more detailed introduction to OT and how it can be used in ML applicat

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