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.. table::
:widths: 30 40 30
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| .. figure:: | Vectorizations, distances and kernels that work on persistence | :Author: Mathieu Carrière, Martin Royer, Gard Spreemann, Wojciech Reise |
| img/sklearn-tda.png | diagrams, compatible with scikit-learn and tensorflow. | |
| | | :Since: GUDHI 3.1.0 |
| | | |
| | | :License: MIT |
| | | |
| | | :Requires: `Scikit-learn <installation.html#scikit-learn>`_, `TensorFlow <installation.html#tensorflow>`_ |
| | | |
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| * :doc:`representations` |
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