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| author | Vincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com> | 2022-11-18 09:42:39 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-11-18 09:42:39 +0100 |
| commit | 94e2b090219233be602ed9a59994c2aced288b3a (patch) | |
| tree | 1732842855de095980823f6125ebbf9df71922c6 /src/python | |
| parent | cf756d725e266cbf29a9d94f07d76b6b7d891921 (diff) | |
| parent | 528918633d1fe0a3adb2fa75f4ae5843948e984b (diff) | |
Merge pull request #700 from VincentRouvreau/cite_gudhi_biblio
Proposal for how_to_cite_gudhi update
Diffstat (limited to 'src/python')
| -rw-r--r-- | src/python/doc/representations_sum.inc | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/src/python/doc/representations_sum.inc b/src/python/doc/representations_sum.inc index 4298aea9..9515f044 100644 --- a/src/python/doc/representations_sum.inc +++ b/src/python/doc/representations_sum.inc @@ -1,14 +1,14 @@ .. table:: :widths: 30 40 30 - +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------+ - | .. figure:: | Vectorizations, distances and kernels that work on persistence | :Author: Mathieu Carrière, Martin Royer | - | img/sklearn-tda.png | diagrams, compatible with scikit-learn. | | - | | | :Since: GUDHI 3.1.0 | - | | | | - | | | :License: MIT | - | | | | - | | | :Requires: `Scikit-learn <installation.html#scikit-learn>`_ | - +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------+ - | * :doc:`representations` | - +------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------+ + +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------------------+ + | .. 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. | | + | | | :Since: GUDHI 3.1.0 | + | | | | + | | | :License: MIT | + | | | | + | | | :Requires: `Scikit-learn <installation.html#scikit-learn>`_ | + +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------------------+ + | * :doc:`representations` | + +------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------+ |